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Big Data Masters Program Training Course

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100% Job Guarantee | Minimum CTC: ₹ 7.7 LPA

Enter the world of big data engineering with this certification course. It options masterclasses and asks me anything sessions by IBM experts. Learn job database management skills like huge data & Hadoop frameworks, leverage the functionality of AWS services, and learn to use the database management tool and MongoDB to store data via interactive live sessions, sensible labs, & industry comes.

 
  • 40+ Hrs Hands On Training
  • 2 Live Projects For Hands-On Learning
  • 50 Hrs Practical Assignments
  • 24/7 Students
  • Exclusive Hackathons and Live interaction with Certified expertIncludes live Master Classes and Ask me anything sessions
  • 250+ hours of live interactive learningLive Online classes by industry experts
  • Capstone and 12+ real-life projectsBuilt on Cloud Hosting, Trend Analysis and etc.
  • LearnoVita Job Assist™Get noticed by the top hiring companies
For Business

Customized learning paths, 4x outcomes & completion rates; award-winning client support.

Online Classroom Batches Preferred

24- Jun- 2024
Monday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

19- Jun- 2024
Wednesday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

22- Jun- 2024
Saturday (Saturday - Sunday)

Weekend Regular

11:00 AM (IST)

(Class 3hr - 3:30Hrs) / Per Session

22- Jun- 2024
Saturday (Saturday - Sunday)

Weekend Fasttrack

11:00 AM (IST)

(Class 4:30Hr - 5:00Hrs) / Per Session

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₹124000 ₹62000 10% OFF Expires in

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Big Data Masters Program Training Course Overview

Big Data Masters Program to professionals who ask to depend upon their information within the field of Big Data. It makes you good in tools and systems employed by Big Data experts. It includes coaching on Hadoop and Spark, Java fundamentals, and SQL. The program is tailored supported current business standards that comprise major sub-modules as an area of the training method. This program is designed by the business experts to supply hands-on training with tools that are accustomed to speed up the training method. Big Data Masters Program Training will:
  • As an area of this online room training, you may receive four extra self-paced courses co-created with IBM, namely, Spark Fundamentals I and II, Spark MLlib, and Python for Data Science.
  • Big Data creator Masters Program makes you too good in tools and systems used by Big Data experts.
  • This Masters in Big Data includes training on Hadoop and Spark stack, Cassandra, Talend, and Apache Kafka electronic communication system.
  • At the end of every core course, you may be performing on a real-life project to achieve hands-on experience.
  • You will work on real-world projects in Hadoop Development, Hadoop Administration, Hadoop Analysis, Hadoop Testing, Spark, Python, Splunk Developer, and Admin, Apache Storm, NoSQL databases, and more.
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Skills You Will Gain
  • Core JSP and Servlets
  • J2EE , Struts, Spring
  • Hibernate, JDBC, Web Services
  • Advanced JSP and Servlets
  • EJB, JDO, JSF
  • Android Development
  • Servlets

Android App Developer Course Key Features 100% Money Back Guarantee

  • 5 Weeks Training

    For Become a Expert
  • Certificate of Training

    From Industry Android App Developer Experts
  • Beginner Friendly

    No Prior Knowledge Required
  • Build 3+ Projects

    For Hands-on Practices
  • Lifetime Access

    To Self-placed Learning
  • Placement Assistance

    To Build Your Career

Top Companies Placement

Being a Big Data Engineer, an individual performs the job to examine data to find information. They identify the data-analytics issues that present the most opportunity for the company. Also, choose the appropriate data sets and variables and bring enormous amounts of structured and unstructured data from various sources. Experts get benefited from substantial pay raises, as shown below.
  • Designation
  • Annual Salary
    Hiring Companies
  • 3.24L
    Min
  • 6.5L
    Average
  • 12.5L
    Max
  • 4.50L
    Min
  • 8.5L
    Average
  • 16.5L
    Max
  • 4.0L
    Min
  • 7.5L
    Average
  • 14.5L
    Max
  • 5.24L
    Min
  • 9.5L
    Average
  • 12.5L
    Max

Training Options

Class Room Training

Talk to Placement Support

  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt

Next Batch Schedule

24- Jun- 2024 (Weekdays Regular)

19- Jun- 2024 (Weekdays Regular)

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Online Training

₹124000₹ 62000

  • preferred
  • Live demonstration of features and practicals.
  • Lifetime access to high-quality self-paced learning and live online class recordings
  • Get complete certification guidance
  • Attend a Free Demo before signing up.

Next Demo Sessions

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Corporate Training

Customized to your team's needs

  • Self-Paced/Live Online/Classroom modes of training available
  • Design your own course content based on your project requirements
  • Learn as per full day schedule and/or flexible timings
  • Gain complete guidance on certification
  • 24x7 learner assistance and support

Self Paced Training

  • 50+ Hours High-quality Video
  • 28+ Downloadable Resource
  • Lifetime Access and 24x7 Support
  • Access on Your Computer or Mobile
  • Get Certificate on Course Completion
  • 3+ Projects
25000 ₹14000

Big Data Masters programming CourseCurriculam

Trainers Profile

Trainers are certified professionals with 13+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Big Data Masters programming Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Pre-requisites

  • Working knowledge of Windows, Web sites and browsers & Client/server environment.
  • There are no prerequisites to attend this course but knowledge of performance testing will help.
  • Any software tester / developer, mobile application testers / developers and IT professionals can learn loadrunner performance testing.

Syllabus of Big Data Masters programming Online Course Download syllabus

  • Features of Java
  • Simple
  • Secure
  • Portable
  • Robust
  • Multithreading
  • Platform-Independent
  • Distributed.
  • Dynamic
  • New Features of Java 8
  • Introducing Java Environment
  • Java Development Kit
  • Java Platforms
  • Java Virtual Machine
  • Java API
  • Java Programs
  • Installing Java
  • What about CLASSPATH?
  • Java’s Reserve Words
  • Starting a Java program
  • Line 1—public class App
  • Line 2—public static void main(String[] args)
  • Line 3—System.out.println(“Hello from Java!”);
  • Compiling Code 15
  • Compiling Code: Using Command-Line Options
  • Cross-Compilation Options
  • Compiling Code: Checking for Deprecated Methods
  • Running Code
  • Running Code: Using Command-Line Options
  • Commenting Your Code
  • Importing Java Packages and Classes
  • Finding Java Class with CLASSPATH
  • Summary
  • Variables
  • Data Typing
  • Arrays
  • Strings
  • What Data Types are Available?
  • Creating Integer Literals
  • Creating Floating-Point Literals
  • Creating Boolean Literals
  • Creating CharLearnoVitar Literals
  • Creating String Literals
  • Creating Binary Literals
  • Using Underscores in Numeric Literals
  • Declaring Integer Variables
  • Declaring Floating-Point Variables
  • Declaring CharLearnoVitar Variables
  • Declaring Boolean Variables
  • Initializing Variables Dynamically
  • Conversion between Data Types
  • Automatic Conversions
  • Casting to New Data Types
  • Declaring One-Dimensional
  • Creating One-Dimensional Arrays
  • Initializing One-Dimensional Arrays
  • Declaring Multi-Dimensional Arrays
  • Creating Multi-Dimensional Arrays
  • Initializing Multi-Dimensional Arrays
  • Creating Irregular Multi-Dimensional Arrays
  • Getting an the Length of an Array
  • Understanding General Form of Static Import
  • Importing Static Members
  • The String Class
  • Getting String Length
  • Concatenating Strings
  • Getting CharLearnoVitars and Substrings
  • Searching For and Replacing Strings
  • Changing Case in Strings
  • Checking for Empty String
  • Formatting Numbers in Strings
  • The StringBuffer Class
  • Creating StringBuffers
  • Getting and Setting StringBuffer Lengths and Capacities
  • Setting CharLearnoVitars in String Buffers
  • Appending and Inserting Using StringBuffers
  • Deleting Text in StringBuffers
  • Replacing Text in String Buffer
  • Using the Wrapper Class
  • Autoboxing and Unboxing of Primitive Types
  • Learning the Fundamentals of Varargs Methods
  • Overloading Varargs Methods
  • Learning the Ambiguity in Varargs Methods
  • Using Non-Reifiable Formal Parameters
  • Operators
  • Conditionals
  • Loops
  • Operator Precedence
  • Incrementing and Decrementing (++ and --)
  • Unary NOT (~ And !)
  • Multiplication and Division (* and /)
  • Modulus (%)
  • Addition and Subtraction (+ and -)
  • Shift Operators (>>, >>>, and <<)
  • Relational Operators (>, >=, <, <=, ==, and !=)
  • Bitwise and Bitwise Logical AND, XOR, and OR (&, ^, and /)
  • Logical (&& and ||)
  • The if-then-else Operator
  • Assignment Operators (= and [operator]=)
  • Using the Math
  • Changes in the Math Class
  • Class StrictMath
  • Comparing Strings
  • The if Statement
  • The else Statement
  • Nested if
  • The if-else Ladders
  • The switch Statement
  • Using Strings in switch Statement
  • The while Loop
  • The do-while Loop
  • The for Loop
  • The for-each Loop
  • Supporting for-each in Your Own Class
  • A (Poor) Solution
  • Significance of for-
  • Nested Loops
  • Using the break Statement
  • Using the continue Statement
  • Using the return Statement
  • Summary
  • The Control Overview of a Class
  • Working with Objects
  • Working with Methods
  • Defining Default Methods
  • Working with Constructors
  • Using Default Constructor
  • Using Parameterized Constructors
  • Exploring Packages
  • Studying the Types of Packages
  • Importing Packages
  • Using Access Specifiers
  • Working with Streams API
  • Stream API Overview
  • Collection and Stream
  • Commonly Used Functional Interfaces in Stream
  • Java.util.Optional
  • Aggregate Operations
  • Working with Time API
  • Understanding Encapsulation
  • Understanding Abstraction
  • Understanding Inheritance
  • Understanding the final Keyword
  • Preventing Inheritance
  • Declaring Constant
  • Preventing Method Overriding
  • Implementing Interfaces
  • Working with Lambda Expressions
  • Method References
  • Using Lambda Expressions
  • Implementing Abstract Classes and Methods
  • Difference between Abstract Classes and Interfaces
  • Implementing Polymorphism
  • Understanding the Static Polymorphism
  • Understanding the Dynamic Polymorphism
  • Summary
  • Streams, Readers and Writers
  • Essentials in NIO
  • Buffers
  • Channels
  • Charsets and Selectors
  • Enhancements in NIO with Java 8
  • The Path Interface
  • The Files Class
  • The Paths Class
  • The File Attribute Interfaces
  • The FileSystem Class
  • The FileSystems Class
  • The FileStore Class
  • Prospects of NIO
  • Working with Streams
  • The InputStream Class
  • The OutputStream Class
  • The ByteArrayInputStream Class
  • The ByteArrayOutputStream Class
  • The BufferedInputStream Class
  • The BufferedOutputStream Class
  • The FileInputStream Class
  • The FileOutputStream Class
  • Working with the Reader Class
  • Working with the Writer Class
  • Accepting Input from the Keyboard with the InputStreamReader Class
  • Working with the OutputStreamWriter Class
  • Working with Files
  • Using the File Class
  • Using the FileReader Class
  • Using the FileWriter Class
  • Working with the RandomAccessFile Class
  • Working with CharLearnoVitar Arrays
  • Using the CharArrayReader Class
  • Using the CharArrayWriter Class
  • Working with Buffers
  • Using the BufferedReader Class
  • Using the BufferedWriter Class
  • Working with the PushbackReader Class
  • Working with the PrintWriter Class
  • Working with the StreamTokenizer Class
  • Implementing the Serializable Interface
  • Working with the Console Class
  • Working with the Clipboard
  • Working with the Printer
  • Printing with the Formatter Class
  • Using the System.out.printf() Method
  • Using the String.format() Method
  • Formatting Dates Using the String.format() Method
  • Using the Java.util.Formatter Class
  • Scanning Input with the Scanner class
  • Summary
  • Overview of Exceptions
  • Exception Handling Techniques
  • Rethrowing Catched Exception with Improved Type Checking
  • Built-in Exceptions
  • User-Defined Exceptions
  • Summary
  • Using Threads in Java
  • Life Cycle of a Thread
  • Synchronization of Threads
  • Multithreaded Custom Class Loader
  • Getting the Main Thread
  • Naming a Thread
  • Pausing a Thread
  • Creating a Thread with the Runnable Interface
  • Creating a Thread with the Thread Class
  • Creating Multiple Threads
  • Joining Threads
  • Checking if a Thread Is Alive
  • Setting Thread Priority and Stopping Threads
  • Synchronizing
  • Communicating between Threads
  • Suspending and Resuming Threads
  • Creating Graphics Animation with Threads
  • Eliminating Flicker in Graphics Animation Created Using Threads
  • Suspending and Resuming Graphics Animation
  • Using Double Buffering
  • Simplifying Producer-Consumer with the Queue Interface
  • Implementing Concurrent Programming
  • Simplifying Servers Using the Concurrency Utilities
  • Knowing Various Concurrency Utilities
  • Learning about the Java.util.concurrent Package
  • Learning about the Java.util.concurrent.locks Package
  • Learning about the Java.util.concurrent.atomic Package
  • Summary
  • The Collection Interfaces
  • The Collection Classes
  • The Map Interfaces
  • The Map Classes
  • Collections Framework Enhancements in Java SE 8
  • Using the Collection Interface
  • The Queue Interface
  • The List Interface
  • The Set Interface
  • The SortedSet Interface
  • Using the Collection Classes
  • Using the Comparator Interface
  • Using the Iterator Interface
  • Using the ListIterator Interface
  • Using the AbstractMap Class
  • Using the HashMap Class
  • Using the TreeMap Class
  • Using the Arrays Class
  • Learning the Fundamentals of Enumerations
  • The Legacy Classes and Interfaces
  • Using the Aggregate Operations
  • Using the Java.util.function Package
  • Summary
  • Packages and Interfaces
  • JAR Files
  • The Java API Package
  • The Java.lang Package
  • Basics of Annotation
  • Other Built-In Annotations
  • Creating a Package
  • Creating Packages that have Subpackages
  • Creating an Interface
  • Implementing an Interface
  • Extending an Interface
  • Using Interfaces for Callbacks
  • Performing Operations on a JAR File
  • Marker Annotations
  • Single Member Annotations
  • Summary
  • What is Java Bean?
  • Advantages of Java Bean
  • Introspection
  • Persistence
  • Customizers
  • Understanding Java Beans
  • Designing Programs Using Java Beans
  • Creating Applets that Use Java Beans
  • Creating a Java Bean
  • Creating a Bean Manifest File
  • Creating a Bean JAR File
  • Creating a New Bean
  • Adding Controls to Beans
  • Giving a Bean Properties
  • Design Patterns for Properties
  • Using Simple Properties
  • Designing Patterns for Events
  • Learning Methods and Design Patterns
  • Creating Bound Properties
  • Giving a Bean Methods
  • Giving a Bean an Icon
  • Creating a BeanInfo Class
  • Setting Bound and Constrained Properties
  • Implementing Persistence
  • Using the Java Beans API
  • Learning the Basics of an Event
  • Using the Java Beans Conventions
  • Using the Remote Notification and Distributed Notification
  • Using Beans with JSP
  • Summary
  • Basics of Networking
  • Sockets in Java
  • Client-Server Networking
  • Proxy Servers
  • Internet Addressing
  • Domain Name Service
  • Inet4Addresses and Inet6Addresses
  • The URL Class
  • The URI Class
  • URI Syntax and Components
  • TCP/IP and Datagram
  • Blackboard Assignment Retrieval Transaction
  • Understanding Networking Interfaces and Classes in the Java.net Package
  • Understanding the InetAddresses
  • Caching InetAddress
  • Creating and Using Sockets
  • Creating TCP Clients and Servers
  • Understanding the Whois Example
  • Submitting an HTML Form from a Java Program
  • Handling URL
  • Using the URLConnection Objects
  • Working with Datagrams
  • Datagrams Server and Client
  • Working with BART
  • Learning about the Java.security Package
  • Summary
  • Introducing Events
  • Introducing Event Handling
  • Working with the Types of Servlet Events
  • Developing the onlineshop Web Application
  • Introducing Wrappers
  • Working with Wrappers
  • Summary
  • Introducing JSP Technology
  • Listing Advantages of JSP over Java Servlet
  • Exploring the Architecture of a JSP Page
  • Describing the Life Cycle of a JSP Page
  • Working with JSP Basic Tags and Implicit Objects
  • Working with Action Tags in JSP
  • Exploring EL
  • Using Custom Tag Library with EL Functions
  • Exploring the Need of Filters
  • Exploring the Working of Filters
  • Exploring Filter API
  • Configuring a Filter
  • Creating a Web Application Using Filters
  • Using Initializing Parameter in Filters
  • Manipulating Responses
  • Discussing Issues in Using Threads with Filters
  • Summary
  • Describing the Java EE Application Architecture
  • Introducing a Design Pattern
  • Discussing the Role of Design Patterns
  • Exploring Types of Patterns
  • Summary
  • Section A: Exploring SOA and Java Web Services
  • Overview of SOA
  • Describing the SOA Environment
  • Overview of JWS
  • Role of WSDL, SOAP and Java/XML Mapping in SOA
  • Section B: Understanding Web Service Specifications to Implement SOA
  • Exploring the JAX-WS 2.2 Specification
  • Exploring the JAXB 2.2 Specification
  • Exploring the WSEE 1.3 Specification
  • Exploring the WS-Metadata 2.2 Specification
  • Describing the SAAJ 1.3 Specification
  • Working with SAAJ and DOM APIs
  • Describing the JAXR Specification
  • JAXR Architecture
  • Exploring the StAX 1.0 Specification
  • Exploring the WebSocket 1.0 Specification
  • Describing the JAX-RS 2.0 Specification
  • Exploring the JASON-P 1.0 Specification
  • Section C: Using the Web Service Specifications
  • Using the JAX-WS 2.2 Specification
  • Using the JAXB 2.2 Specification
  • Using the WSEE and WS-Metadata Specifications
  • Implementing the SAAJ Specification
  • Implementing the JAXR Specification
  • Implementing the StAX Specification
  • What is PHP?
  • The history of PHP
  • Why choose PHP?
  • Installation overview
  • Embedding PHP code on a page
  • Outputting dynamic text
  • The operational trail
  • Inserting code comments
  • Variables
  • Strings
  • String functions
  • Numbers part one: Integers
  • Numbers part two: Floating points
  • Arrays
  • Associative arrays
  • Array functions
  • Booleans
  • NULL and empty
  • Type juggling and casting
  • Constants
  • If statements
  • Else and elseif statements
  • Logical operators
  • Switch statements
  • While loops
  • For loops
  • Foreach loops
  • Continue
  • Break
  • Understanding array pointers
  • Defining functions
  • Function arguments
  • Returning values from a function
  • Multiple return values
  • Scope and global variables
  • Setting default argument values
  • Common problems
  • Warnings and errors
  • Debugging and troubleshooting
  • Links and URLs
  • Using GET values
  • Encoding GET values
  • Encoding for HTML
  • Including and requiring files
  • Modifying headers
  • Page redirection
  • Output buffering
  • Building forms
  • Detecting form submissions
  • Single-page form processing
  • Validating form values
  • Problems with validation logic
  • Displaying validation errors
  • Custom validation functions
  • Single-page form with validations
  • Working with cookies
  • Setting cookie values
  • Reading cookie values
  • Unsetting cookie values
  • Working with sessions
  • MySQL introduction
  • Creating a database
  • Creating a database table
  • CRUD in MySQL
  • Populating a MySQL database
  • Relational database tables
  • Populating the relational table
  • Database APIs in PHP
  • Connecting to MySQL with PHP
  • Retrieving data from MySQL
  • Working with retrieved data
  • Creating records with PHP
  • Updating and deleting records with PHP
  • SQL injection
  • Escaping strings for MySQL
  • Introducing prepared statements
  • Blueprinting the application
  • Building the CMS database
  • Establishing your work area
  • Creating and styling the first page
  • Making page assets reusable
  • Connecting the application to the database
  • Adding pages to the navigation subjects
  • Refactoring the navigation
  • Selecting pages from the navigation
  • Highlighting the current page
  • Moving the navigation to a function
  • Finding a subject in the database
  • Refactoring the page selection
  • Creating a new subject form
  • Processing form values and adding subjects
  • Passing data in the session
  • Validating form values
  • Creating an edit subject form
  • Using single-page submission
  • Deleting a subject
  • Cleaning up
  • Assignment: Pages CRUD
  • Assignment results: Pages CRUD
  • The public appearance
  • Using a context for conditional code
  • Adding a default subject behaviour
  • The public content area
  • Protecting page visibility
  • User authentication overview
  • Admin CRUD
  • Encrypting passwords
  • Salting passwords
  • Adding password encryption to CMS
  • New PHP password functions
  • Creating a login system
  • Checking for authorization
  • Creating a logout page
  • Using variable variables
  • Applying more array functions
  • Building dates and times: Epoch/Unix
  • Formatting dates and times: Strings and SQL
  • Setting server and request variables
  • Establishing global and static variable scope
  • Making a reference assignment
  • Using references as function arguments
  • Using references as function return values
  • Introducing the concept and basics of OOP
  • Defining classes
  • Defining class methods
  • Instantiating a class
  • Referencing an instance
  • Defining class properties
  • Understanding class inheritance
  • Setting access modifiers
  • Using setters and getters
  • Working with the static modifier
  • Reviewing the scope resolution operator
  • Referencing the Parent class
  • Using constructors and destructors
  • Cloning objects
  • Comparing objects
  • File system basics
  • Understanding file permissions
  • Setting file permissions
  • PHP permissions
  • Accessing files
  • Writing to files
  • Deleting files
  • Moving the file pointer
  • Reading files
  • Examining file details
  • Working with directories
  • Viewing directory content
  • Configuring PHP for email
  • Sending email with mail()
  • Using headers
  • Reviewing SMTP
  • Using PHPMailer
  • Run Levels
  • /etc/rc.d Files
  • Customization of Run Levels
  • cron and anacron
  • at and batch
  • Console Logon
  • Controlling Console Login
  • Virtual Consoles
  • Serial Login
  • Remote Login
  • ssh Login
  • Kernel Versions
  • Kernel Source Files
  • Kernel Patch Files
  • Kernel Configuration
  • Kernel Building
  • Testing a New Kernel
  • Partition Types
  • Filesystem Types
  • Mounting
  • Automount
  • File Types
  • File Security
  • Boot Files
  • User Files
  • Administrator Files
  • Configuration Files
  • Log Files
  • Process Info
  • Kernel Config Info
  • Hardware Info
  • Changing /proc Info
  • Sysctl
  • Key /bin Commands
  • Key /sbin Commands
  • History
  • man and info
  • vi
  • Using Shell Scripts
  • Users and Groups
  • Home Directories
  • Password Files
  • PAM
  • Quotas
  • NIS Intro
  • tar Files
  • Patch Files
  • RPM
  • Types of Devices
  • /dev Namespace
  • Modules
  • Types of Network Devices
  • Monitoring Network Devices
  • Controlling Network Services
  • xinted
  • iptables
  • DHCP
  • DNS
  • SSH
  • FTP
  • NFS
  • Samba
  • Sendmail
  • Apache
  • Squid Proxy Server
  • X Servers and X Clients
  • XFree86
  • X Fonts
  • GTK and KDE
  • High Availability
  • Scaling
  • Advantages and Challenges
  • What is Big data
  • Big Data opportunities,Challenges
  • CharLearnoVitaristics of Big data
  • Hadoop Distributed File System
  • Comparing Hadoop & SQL
  • Industries using Hadoop
  • Data Locality
  • Hadoop Architecture
  • Map Reduce & HDFS
  • Using the Hadoop single node image (Clone)
  • HDFS Design & Concepts
  • Blocks, Name nodes and Data nodes
  • HDFS High-Availability and HDFS Federation
  • Hadoop DFS The Command-Line Interface
  • Basic File System Operations
  • Anatomy of File Read,File Write
  • Block Placement Policy and Modes
  • More detailed explanation about Configuration files
  • Metadata, FS image, Edit log, Secondary Name Node and Safe Mode
  • How to add New Data Node dynamically,decommission a Data Node dynamically (Without stopping cluster)
  • FSCK Utility. (Block report)
  • How to override default configuration at system level and Programming level
  • HDFS Federation
  • ZOOKEEPER Leader Election Algorithm
  • Exercise and small use case on HDFS
  • Map Reduce Functional Programming Basics
  • Map and Reduce Basics
  • How Map Reduce Works
  • Anatomy of a Map Reduce Job Run
  • Legacy Architecture ->Job Submission, Job Initialization, Task Assignment, Task Execution, Progress and Status Updates
  • Job Completion, Failures
  • Shuffling and Sorting
  • Splits, Record reader, Partition, Types of partitions & Combiner
  • Optimization Techniques -> Speculative Execution, JVM Reuse and No. Slots
  • Types of Schedulers and Counters
  • Comparisons between Old and New API at code and Architecture Level
  • Getting the data from RDBMS into HDFS using Custom data types
  • Distributed Cache and Hadoop Streaming (Python, Ruby and R)
  • YARN
  • Sequential Files and Map Files
  • Enabling Compression Codec’s
  • Map side Join with distributed Cache
  • Types of I/O Formats: Multiple outputs, NLINEinputformat
  • Handling small files using CombineFileInputFormat
  • Hands on “Word Count” in Map Reduce in standalone and Pseudo distribution Mode
  • Sorting files using Hadoop Configuration API discussion
  • Emulating “grep” for searching inside a file in Hadoop
  • DBInput Format
  • Job Dependency API discussion
  • Input Format API discussion,Split API discussion
  • Custom Data type creation in Hadoop
  • ACID in RDBMS and BASE in NoSQL
  • CAP Theorem and Types of Consistency
  • Types of NoSQL Databases in detail
  • Columnar Databases in Detail (HBASE and CASSANDRA)
  • TTL, Bloom Filters and Compensation
  • HBase Installation, Concepts
  • HBase Data Model and Comparison between RDBMS and NOSQL
  • Master & Region Servers
  • HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture
  • Catalog Tables
  • Block Cache and sharding
  • SPLITS
  • DATA Modeling (Sequential, Salted, Promoted and Random Keys)
  • Java API’s and Rest Interface
  • Client Side Buffering and Process 1 million records using Client side Buffering
  • HBase Counters
  • Enabling Replication and HBase RAW Scans
  • HBase Filters
  • Bulk Loading and Co processors (Endpoints and Observers with programs)
  • Real world use case consisting of HDFS,MR and HBASE
  • Hive Installation, Introduction and Architecture
  • Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
  • Meta store, Hive QL
  • OLTP vs. OLAP
  • Working with Tables
  • Primitive data types and complex data types
  • Working with Partitions
  • User Defined Functions
  • Hive Bucketed Tables and Sampling
  • External partitioned tables, Map the data to the partition in the table, Writing the output of one query to another table, Multiple inserts
  • Dynamic Partition
  • Differences between ORDER BY, DISTRIBUTE BY and SORT BY
  • Bucketing and Sorted Bucketing with Dynamic partition
  • RC File
  • INDEXES and VIEWS
  • MAPSIDE JOINS
  • Compression on hive tables and Migrating Hive tables
  • Dynamic substation of Hive and Different ways of running Hive
  • How to enable Update in HIVE
  • Log Analysis on Hive
  • Access HBASE tables using Hive
  • Hands on Exercises
  • Pig Installation
  • Execution Types
  • Grunt Shell
  • Pig Latin
  • Data Processing
  • Schema on read
  • Primitive data types and complex data types
  • Tuple schema, BAG Schema and MAP Schema
  • Loading and Storing
  • Filtering, Grouping and Joining
  • Debugging commands (Illustrate and Explain)
  • Validations,Type casting in PIG
  • Working with Functions
  • User Defined Functions
  • Types of JOINS in pig and Replicated Join in detail
  • SPLITS and Multiquery execution
  • Error Handling, FLATTEN and ORDER BY
  • Parameter Substitution
  • Nested For Each
  • User Defined Functions, Dynamic Invokers and Macros
  • How to access HBASE using PIG, Load and Write JSON DATA using PIG
  • Piggy Bank
  • Hands on Exercises
  • Sqoop Installation
  • Import Data.(Full table, Only Subset, Target Directory, protecting Password, file format other than CSV, Compressing, Control Parallelism, All tables Import)
  • Incremental Import(Import only New data, Last Imported data, storing Password in Metastore, Sharing Metastore between Sqoop Clients)
  • Free Form Query Import
  • Export data to RDBMS,HIVE and HBASE
  • Hands on Exercises
  • HCatalog Installation
  • Introduction to HCatalog
  • About Hcatalog with PIG,HIVE and MR
  • Hands on Exercises
  • Flume Installation
  • Introduction to Flume
  • Flume Agents: Sources, Channels and Sinks
  • Log User information using Java program in to HDFS using LOG4J and Avro Source, Tail Source
  • Log User information using Java program in to HBASE using LOG4J and Avro Source, Tail Source
  • Flume Commands
  • Use case of Flume: Flume the data from twitter in to HDFS and HBASE. Do some analysis using HIVE and PIG
  • HUE.(Hortonworks and Cloudera)
  • Workflow (Action, Start, Action, End, Kill, Join and Fork), Schedulers, Coordinators and Bundles.,to show how to schedule Sqoop Job, Hive, MR and PIG
  • Real world Use case which will find the top websites used by users of certain ages and will be scheduled to run for every one hour
  • Zoo Keeper
  • HBASE Integration with HIVE and PIG
  • Phoenix
  • Proof of concept (POC)
  • Spark Overview
  • Linking with Spark, Initializing Spark
  • Using the Shell
  • Resilient Distributed Datasets (RDDs)
  • Parallelized Collections
  • External Datasets
  • RDD Operations
  • Basics, Passing Functions to Spark
  • Working with Key-Value Pairs
  • Transformations
  • Actions
  • RDD Persistence
  • Which Storage Level to Choose?
  • Removing Data
  • Shared Variables
  • Broadcast Variables
  • Accumulators
  • Deploying to a Cluster
  • Unit Testing
  • Migrating from pre-1.0 Versions of Spark
  • Where to Go from Here
  • 1. Overview of Hadoop 
  • 2. Architecture of  HDFS  & YARN
  • 3. Overview of Spark version 2.2.0
  • 4. Spark Architecture
  • 5. Spark  Components 
  • 6. Comparison of  Spark &  Hadoop
  • 7. Installation of Spark v 2.2.0 on Linux 64 bit
  • 1. Exploring the Spark shell 
  • 2. Creating Spark Context
  • 3. Operations on Resilient Distributed Dataset – RDD
  • 4. Transformations & Actions 
  • 5. Loading Data and Saving Data
  • 1. Introduction to SQL  Operations
  • 2. SQL Context
  • 3. Data Frame
  • 4. Working with Hive
  • 5. Loading Partitioned Tables
  • 6. Processing  CSV, Json ,Parquet files
  • 1. Introduction to Scala
  • 2. Feature of Scala
  • 3. Scala vs Java Comparison
  • 4. Data types
  • 5. Data Structure
  • 6. Arrays
  • 7. Literals
  • 8. Logical Operators
  • 9. Mutable & Immutable variables
  • 10. Type interface
  • 1. Oops  vs Functions
  • 2. Anonymous 
  • 3. Recursive 
  • 4. Call-by-name
  • 5. Currying
  • 6. Conditional statement
  • 1. List
  • 2. Map
  • 3. Sets
  • 4. Options
  • 5. Tuples
  • 6. Mutable collection
  • 7. Immutable collection
  • 8. Iterating
  • 9. Filtering and counting 
  • 10. Group By
  • 11. Flat Map
  • 12. Word count
  • 13. File Access
  • 1. Classes ,Objects & Properties
  • 2. Inheritance
  • 1. Maven  build tool implementation
  • 2. Build Libraries
  • 3. Create  Jar files 
  • 4. Spark-Submit
  • 1. Overview  of Spark Streaming
  • 2. Architecture of Spark Streaming 
  • 3. File streaming
  • 4. Twitter Streaming
  • 1. Overview  of Kafka Streaming
  • 2. Architecture of Kafka Streaming 
  • 3. Kafka Installation
  • 4. Topic
  • 5. Producer
  • 6. Consumer
  • 7. File streaming
  • 8. Twitter Streaming
  • 1. Overview  of Machine Learning Algorithm
  • 2. Linear Regression
  • 3. Logistic Regression
  • 1. GraphX overview
  • 2. Vertices
  • 3. Edges
  • 4. Triplets
  • 5. Page Rank
  • 6. Pregel
  • 1. On-Off-heap memory tuning
  • 2. Kryo Serialization
  • 3. Broadcast Variable
  • 4. Accumulator Variable
  • 5. DAG Scheduler
  • 6. Data Locality
  • 7. Check Pointing
  • 8. Speculative Execution
  • 9. Garbage Collection
  • 1. Master – Driver Node capacity
  • 2. Slave –   Worker Node capacity
  • 3. Executor capacity
  • 4. Executor core capacity
  • 5. Project scenario and execution
  • 6. Out-of-memory error handling
  • 7. Master logs, Worker logs, Driver  logs
  • 8. Monitoring Web UI 
  • 9. Heap memory dump
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Mock Interviews

  • Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
  • Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!

How Learnovita Mock Interview Works?

Big Data Masters Program Training Course Objectives

  • Students who want to research big data learn from their strategic thought, management, and leadership skills, which are essential for their success after completing their degrees.
  • A degree further raises the opportunity for earning and employment prospects.
  • Big Data Masters Program for practitioners seeking to draw on their big data skills.
  • It lets you know how to use big data specialists for software and processes.
  • It comprises Hadoop and Spark preparation, Java Essentials training and SQL training.
  • Big Data Masters Program for practitioners seeking to draw on their big data skills.
  • It lets you know how to use big data specialists for software and processes.
  • The purpose of this curriculum is to provide practical instruction resources to speed up the training process by industry experts.
  • You can learn how similar and different programs, applets and servlets are, how to create a specific user interface, how to read data from, write data into files and databases and how to send and receive network data.
  • Architecture/web services service-oriented (SOAP/REST) HTML, CSS, JavaScript and JQuery web technology.
  • Word markings such as JSON and XML.
  • Concepts and trends for object-oriented programming (OOP).
  • For desktop GUI software, online applications, and cellular apps, Java developer may use Java directly.
  • The simplicity and usability make Java in the real sense a general programming language.
  • SQL is one of the world's most popular programming languages, and you can open up simple pathways to discovering new jobs and jobs once you learn SQL.
  • You will increase your career whether you are a sales manager, a market analyst, an MBA, or a developer, SQL.
  • You should be able to copy or transfer files and folders, list directory and file contents, and modify the existing directory with the command line (shell), at absolute minimum.
  • You will also be able to use and update Linux applications in a reasonable way.
  • Hadoop programming is also easier with Pig and Hive for people with SQL expertise.
  • Pig and Hive are quick to study and coding  make mastering their skills on the Hadoop Platform easy for SQL professionals.
  • Apache Spark is a fast cluster computing framework for all purposes.
  • It offers Java, Scala and Python high-level APIs and an optimal engine supporting general execution graphs.
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Exam & Certification

At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training. Online Classroom:
  • Participate and Complete One batch of Android App Developer Training Course
  • Successful completion and evaluation of any one of the given projects
Online Self-learning:
  • Complete 85% of the Android App Developer Certification course
  • Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your Android App Developer Training course. It helps you to prepare for the actual Android App Developer Certification exam. You can try this free Android App Developer Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s Android App Developer Certification Path.
  • Oracle Certified Associate (OCA)
  • Oracle Certified Professional (OCP)
  • Oracle Certified Expert (OCE)
  • Oracle Certified Master (OCM)
  • Learn About the Certification Paths.
  • Write Code Daily This will help you develop Coding Reading and Writing ability.
  • Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
  • Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
  • Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Android App Developer Developers.

Recently Placed Students

Android App Developer Course FAQ's

LearnoVita Offers the Best Discount Price for you CALL at +91 93833 99991 and know the Exciting offers Available for you!!!
Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how are the classes conducted, the quality of instructors, and the level of interaction in the class.
All Our instructors are working professionals from the Industry, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
  • LearnoVita will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
  • On Successfully Completing a Career Course with LearnoVita, you Could be Eligible for Job Placement Assistance.
  • 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
  • LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
  • More than 5400+ students placed in last year in India & Globally.
  • LearnoVita Conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
After Your Course Completion You will Receive
  • LearnoVita Certification is Accredited by all major Global Companies around the World.
  • LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (nie) Singapore
  • Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
  • LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
  • All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
  • You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
  • After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
At LearnoVita you can enroll in either the instructor-led Online Training, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
  • We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
  • View the class presentation and recordings that are available for online viewing.
  • You can attend the missed session, in any other live batch.
Just give us a CALL at +91 9383399991 OR email at contact@learnovita.com
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question After Once You Have Enrolled.
We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each Android App Developer batch to 5 or 6 members
Learning Android App Developer can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in Android App Developer. Mastering Android App Developer can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
The Average Android App Developer Developer salary in India is ₹4,43,568 per annum.
You can contact our support number at +91 93800 99996 / Directly can do by LearnoVita E-commerce payment system Login or directly walk-in to one of the LearnoVita branches in India.
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