Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Big Data Hadoop Course Key Features 100% Money Back Guarantee
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Big Data Hadoop Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Big Data Hadoop Certification Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Big Data Hadoop technologies :
Syllabus of Big Data Hadoop Online Course Download syllabus
- What is Big Data?
- What technologies support big data?
- What is Hadoop?
- Why Hadoop?
- History of Hadoop
- Use cases of Hadoop
- RDBMS vs Hadoop
- Ecosystem tour
- Vendor comparison
- Hardware Recommendations & Statistics
- Significance of HDFS in Hadoop
- Features of HDFS
- 5 daemons of Hadoop
- Data Storage in HDFS
- Accessing HDFS
- Fault tolerance
- Download Hadoop
- Installation and set-up of Hadoop
- HDFS Federation
- Map Reduce Architecture
- How Map Reduce works
- Developing Map Reduce
- Map Reduce Programming Model
- Creating Input and Output Formats in Map Reduce Jobs
- Data localization in Map Reduce
- Combiner (Mini Reducer)
- Hadoop I/O
- Distributed cache
- Introduction to Apache Pig
- Map Reduce Vs. Apache Pig
- SQL vs. Apache Pig
- Different data types in Pig
- Modes of Execution in Pig
- Grunt shell
- Loading data
- Exploring Pig
- Latin commands
- Hive introduction
- Hive architecture
- Hive vs RDBMS
- HiveQL and the shell
- Managing tables (external vs managed)
- Data types and schemas
- Partitions and buckets
- Architecture and schema design
- HBase vs. RDBMS
- HMaster and Region Servers
- Column Families and Regions
- Write pipeline
- Read pipeline
- HBase commands
- Introduction
- SQOOP syntax
- Database connection
- Importing data
- Introduction
- Flume syntax
- Database connection
- Importing data
- Introduction to Apache Spark
- Apache Spark Framework
- Playing with RDD’s
- Using Spark Shell
- Writing Spark Applications
- DataFrames and DataSets
- DataFrame Operations
- Creating & Saving DataFrames from Data Sources
- Transformations & Actions
- Caching & Persisting
- Spark SQL
- Introduction to Cloud Computing
- On-premises vs cloud setup
- Major cloud providers of Bigdata
- What is EMR?
- HDFS vs S3
- Overview and working of AWS Glue jobs
- AWS Glue
- AWS Redshift
- AWS Athena
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Big Data Hadoop Training Objectives
- Big Data Hadoop certification guidance is a web schooling route that offers intensity understanding of the Big Data Hadoop technology, its accessories, and approaches to apply it for efficient statistical assessment The way covers topics together with Hadoop structure, HDFS, MapReduce, HBase, Hive, Pig, Sqoop, Flume, Oozie, and more.
- Big Data Hadoop employs the Java programming language as its primary language. Java is an object-oriented language, which allows developers to create reusable code that can be used across different applications. It is important because of its scalability and ability to process large and complex datasets.
- Big Data Hadoop can be difficult to learn, depending on the level of expertise you have with coding and related technologies. It is not recommended for beginners, as the concepts and methods involved in Big Data Hadoop are complex and require a good understanding of the underlying technologies to be successful. However, with the right guidance and resources, anyone can learn Big Data Hadoop.
- Yes, a career in Big Data Hadoop can be a great one. With several prospects for career progression, it is a field that is expanding quickly. Organizations around the world are increasingly relying on Big Data Hadoop to store and analyze large amounts of data, and those with the skills to do so are in high demand.
- Individuals who are interested in learning about Big Data Hadoop should consider taking part in Big Data Hadoop training. This includes IT professionals, data scientists, business analysts, software engineers, and those with experience in data analysis, programming, and systems architecture.
- The Big Data Hadoop certification test and course cover topics such as data storage and retrieval, data modeling, analysis, and visualization, distributed computing, MapReduce, and data security. It also covers topics related to the Hadoop ecosystem, such as Apache Hive, Apache Pig, Apache Spark, Apache Flume, Apache HBase, and Apache Oozie.
- Big Data Hadoop is used in many industries, including healthcare, finance, telecom, retail, marketing, and government. It is used to store, process, and analyze large sets of data, and is also used to develop and deploy data-driven applications.
- Big Data Hadoop is used to process and analyze large amounts of data quickly and accurately. It is used to gain insight into customer behavior, understand trends and patterns, and make better business decisions. Hadoop is also used to uncover hidden relationships between data points as well as discover new market opportunities.
- Yes, Big Data Hadoop is a highly sought-after skill in the IT industry. Companies are increasingly looking for professionals with expertise in Big Data Hadoop, as it is a powerful tool for data analysis and insight.
- Introduction to Big Data and Hadoop.
- Hadoop Fundamentals.
- Advanced Hadoop Administration.
- Big Data Analytics with Hadoop.
- Hadoop Performance Tuning.
We offer a wide range of Big Data Hadoop related courses, including:
Exam & Certification
- Participate and Complete One batch of Big Data Hadoop Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Big Data Hadoop course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
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Software Testing, CapgeminiBig Data Hadoop Course FAQ's
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