Oracle Big Data Fundamentals Ed 2 Online Certification Training Objectives
- Oracle Big Data Fundamentals introduces students to the concept of big data,the technology used to handle it, and Oracle's method for dealing with data sets of this size. The Oracle Big Data Appliance will be used to teach students how to handle large amounts of data, and the Oracle Big Data Lite Virtual Machine will provide them practical experience in the field. Finding and storing raw data in HDFS and Oracle's NoSQL Database are both covered in this course.
- Define Big Data
- Explain what Oracle's Integrated Big Data Solution is and what its parts are.
- Explain what Cloudera's version of Hadoop is, what its core parts are, and what the Hadoop ecosystem is.
- Using the Hadoop Distributed File System (HDFS)
- Use the Command Line Interface, Flume, and the Oracle NoSQL Database to get large amounts of data.
- Use MapReduce, YARN, Hive, Oracle XQuery for Hadoop, Solr, and Spark to process large amounts of data.
- Use Sqoop, Oracle Big Data Connectors, Copy to Hadoop, Oracle Data Integrator, Oracle GoldenGate for big data, and Oracle Big Data SQL to combine data from big data and warehouses.
- Database Fundamentals and Administration
- Introduction to Big Data
- Software Developers
- Administrators of data bases
- Database Administrators
- With the use of big data analytics, businesses may make better use of their data and spot untapped possibilities.
- As a result, businesses are able to make better decisions, streamline their processes, increase their profitability, and delight their clientele.
- Anyone interested in taking this class should have some familiarity with the programming languages Core Java and SQL.
- In order to become a qualified Data Engineer or Big Data Engineer, students may also take a Certification Course for Big Data Engineers and go through real-world situations.
- Getting started with new big data technologies is as simple as digging into any of the many available Apache projects and other big data software products.
- The problem is that humans aren't machines; we just can't memorise everything. It's not easy to become an expert in every piece of software, hardware, or programming language.
- Oracle Data Integrator: Extract, Transform, Load, and Synchronize
- The Declarative Structure of ODI
- The ODI Knowledge Modules (KMs)
- Combining ODI with Big Data may simplify physical design and save implementation time. Compatibility with a Wide Variety of Hadoop Environments
- Methods of Working with ODI Studio
- Aspects of ODI Studio: Overview
- Modules of Expertise for Big Data in ODI Studio
- Using Oracle GoldenGate with Big Data
- Computer language syntax.
- Natural language processing (NLP), artificial intelligence (AI), and machine learning.
- Number crunching.
- Extraction of useful information from large amounts of data.
- Problem-solving.
- SQL and non-relational database systems.
- Information theory and algorithm design.
- Information visualisation and interpretation.
- In the United States, a designer with expertise in Oracle Big Data Fundamentals can expect to earn an average of $120,000 annually, or $61.54 per hour. Entry-level business salaries begin at $100,000 per year, with most experts earning up to $155,000 each year of expertise.
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Top Skills You Will Gain
- Architecture
- Partition, Departition
- Sort, Transform Components
- Database Components
- Miscellaneous Components
- Datasets, FTP Components
- Compress Components
- Validate Components
Online Classroom Batches Preferred
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Oracle Big Data Fundamentals Ed 2 Training Course Curriculam
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 Oracle Big Data Fundamentals Ed 2 Training Online Training course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
There is no Prerequisite to learn Oracle Big Data Fundamentals Ed 2 Training Training Online, Knowledge of the database or data warehouse.
Syllabus of Oracle Big Data Fundamentals Ed 2 Training Online Course Download syllabus
- Characteristics of Big Data
- Importance of Big Data
- Big Data Challenges
- Big Data implementation examples
- Oracle Big Data Lite VM Used in this Course
- Oracle Big Data Lite VM Home Page Sections
- Reviewing the Deployment Guide
- Downloading and installing Oracle VM VirtualBox and its Extension Pack
- Downloading and Running 7-zip Files to create Virtual Box Appliance File
- Importing the Appliance File
- Staring the Big Data Lite VM and Starting and Stopping Services
- Introducing the Oracle Movieplex Case Study
- Computer Clusters and Distributed Computing
- Apache Hadoop
- Types of Analysis That Use Hadoop
- Types of Data Generated
- Apache Hadoop Ecosystem
- Cloudera’s Distribution Including Apache Hadoop (CDH)
- CDH Architecture and Components
- Hadoop Distributed Filesystem (HDFS) Design Principles, Characteristics, and Key Definitions
- Sample Hadoop High Availability (HA) Cluster
- HDFS Files and Blocks
- Active and Standby Daemons (Services) Functions
- DataNodes (DN) Daemons Functions
- Reviewing the Command Line Interface (CLI)
- Viewing File System Contents Using the CLI
- FS Shell Commands
- Loading Data Using the CLI
- Overview of FuseDFS
- Kafka topics
- Additional Resources
- What is a NoSQL Database
- RDBMS Compared to NoSQL
- HDFS Compared to NoSQL
- Define Oracle NoSQL Database
- Acquiring and Accessing Data in a NoSQL DB
- Accessing the CLIs (Data, Admin, SQL)
- Accessing the KVStore
- MapReduce Framework Features, Benefits, and Jobs
- Parallel Processing with MapReduce
- Word Count Examples
- Data Locality Optimization in Hadoop
- Submitting and Monitoring a MapReduce Job
- YARN Architecture, Features, and Daemons
- YARN Application Workflow
- Job Scheduling in YARN
- First In, First Out (FIFO) Scheduler, Capacity Scheduler, and Fair Scheduler
- Cloudera Manager Resource Management Features
- Static Service Pools
- Working with the Fair Scheduler
- Cloudera Manager Dynamic Resource Management
- Submitting and Monitoring a MapReduce Job Using YARN
- Using the YARN application Command
- Benefits of Using Spark
- Spark Architecture
- Running a Spark Application on YARN (yarn-cluster Mode)
- Resilient Distributed Dataset (RDD)
- Spark Interactive Shells: spark-shell and pyspark
- Word Count Example by Using Interactive Scala
- Monitoring Spark Jobs Using YARN's ResourceManager Web UI
- Hadoop Architecture
- Organizing and Describing Data With Hive
- Big Data SQL on Top of Hive Data
- Defining Tables Over HDFS
- Hive Queries
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
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Request more informations
Phone (For Voice Call):
+91 89258 75257
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+91 89258 75257
Exam & Certification
- Participate and Complete One batch of Oracle Big Data Fundamentals Ed 2 Training Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Oracle Big Data Fundamentals Ed 2 Training Certification course
- Successful completion and evaluation of any one of the given projects
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