Corporate Office: No. 15, 4th Floor, Sri Lakshmi Complex, St. Marks Road, Bangalore - 560 001. Asia | Africa | Middle-East | Europe www.iiht.com Student Enquiry: [email protected]Franchise Enquiry: [email protected]Some of the Top Companies recruiting IIHT-ians Explore our Placement Portal to find the right job for you - placement.iiht.com IIHT Connecting Talent to Opportunity 9.1 Sqoop Overview 9.2 Sqoop Exercises Join IIHT’s Engineering Programme in Big Data and Hadoop Today! BIG Decisions BIGGER JOBS! lead to At IIHT's Engineering Programme in Big Data and Hadoop, learn about Java Fundamentals, Hadoop Fundamentals, HDFS, MapReduce, Spark, Hive, Pig and Latin, HBase, Sqoop, Yarn, MongoDB and Hadoop Security. Get trained from IIHT Certified Trainers having rich experience in Big Data and Hadoop. Experience State-of-the-art infrastructure at IIHT Computer Labs. Prepare for globally recognized Certifications in Big Data and Hadoop at IIHT . Some of the Job Roles offered to IIHT Certified Hadoop Developers are MAP Reduce Application Developer, HADOOP Administrator, Custom Hadoop Application Developer and so on. Hadoop developers are highly in demand, receiving impressive salaries in top organizations. 9. Sqoop Basics Programme Outline 9.1 YARN Overview 9.2 HDFS 2 9.1 Introduction to In-Memory Computing 9.2 When to use MongoDB 9.3 MongoDB API 9.4 Indexing and Data Modeling 9.5 Drivers / Replication / Sharding 12.1 Security Overview 12.2 Knox Exercise 12.3 Access Control Labels 10. Learning about Yarn 11. Understanding MongoDB Concepts 12. Hadoop Security Programme Outline Programme Outline Programme Outline Data Scientist Hadoop Admin Sr. Manager - Data Integration Big Data Architect Hadoop Architect Job Roles IIHT Connecting Talent to Opportunity Address:.................................................................. ................................................................................ Phone Number:....................................................... E-Mail:.................................................................... Website:...................................................................
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IIHTConnecting Talent to Opportunity
Corporate Office: No. 15, 4th Floor, Sri Lakshmi Complex, St. Marks Road, Bangalore - 560 001.
Explore our Placement Portal to find the right job for you - placement.iiht.com
IIHTConnecting Talent to Opportunity9.1 Sqoop Overview
9.2 Sqoop Exercises
Join IIHT’s Engineering Programme inBig Data and Hadoop Today!
BIGDecisions
BIGGER JOBS!lead to
At IIHT's Engineering Programme in Big Data and Hadoop, learn about Java Fundamentals, Hadoop Fundamentals, HDFS, MapReduce, Spark, Hive, Pig and Latin, HBase, Sqoop, Yarn, MongoDB and Hadoop Security.
Get trained from IIHT Certified Trainers having rich experience in Big Data and Hadoop.
Experience State-of-the-art infrastructure at IIHT Computer Labs.
Prepare for globally recognized Certifications in Big Data and Hadoop at IIHT.
Some of the Job Roles offered to IIHT Certified Hadoop Developers are MAP Reduce Application Developer, HADOOP Administrator, Custom Hadoop Application Developer and so on. Hadoop developers are highly in demand, receiving impressive salaries in top organizations.
9. Sqoop Basics
Programme Outline
9.1 YARN Overview9.2 HDFS 2
9.1 Introduction to In-Memory Computing9.2 When to use MongoDB9.3 MongoDB API9.4 Indexing and Data Modeling9.5 Drivers / Replication / Sharding
12.1 Security Overview12.2 Knox Exercise12.3 Access Control Labels
10. Learning about Yarn
11. Understanding MongoDB Concepts
12. Hadoop Security
Programme Outline
Programme Outline
Programme Outline
Data ScientistHadoop AdminSr. Manager - Data IntegrationBig Data ArchitectHadoop Architect
4.1 What Is MapReduce?4.2 Basic MapReduce Concepts4.3 Concepts of Mappers, Reducers, Combiners and Paritioning4.4 Inputs and Output formats to MR Program4.5 Error Handling and creating UDFs for MR
Programme Outline
MODULE 2
5. Spark Concepts
5.1 What Is Spark?5.2 Basic Spark Concepts5.3 How Spark differs from Map Reduce?5.4 Working with RDD’s5.5 Parallel Programming with Spark5.6 Spark Streaming
MODULE 3
Programme Outline
MODULE 2
6. Hive Techniques
6.1 What is Hive, why we need it and its importance in DWH?6.2 How Hive is different from Traditional RDBMS6.3 Modeling in Hive, creating Hive structures and data load process.6.4 Concepts of Partitioning, Bucketing, Blocks, Hashing, External Tables etc.6.5 Concepts of serialization, deserialization6.6 Different Hive data storage formats including ORC, RC, and Parquet.6.7 Introduction ton HiveQL and examples.6.8 Hive as an ELT tool and difference between Pig and Hive6.9 Performance tuning opportunities in Hive, learnings and Best Practices.6.10 Writing and mastering Hive UDFs6.11 Error Handling and scope of creating Hive UDFs.
Programme Outline
7. Getting to know about Pig and Latin
7.1 Basics of Pig and Why Pig?7.2 Grunt7.3 Pig’s Data Model7.4 Writing Evaluation7.5 Filter7.6 Load & Store Functions7.7 Benefits of Pig over SQL language7.8 Input and Output formats to MR program.7.9 Error Handling and scope of creating UDFs for Pig.
Programme Outline
8.
8.1 HBase – Introduction8.2 When to use Hbase8.3 HBase Data Model8.4 HBase Families & Components8.5 Data Storage and Distribution8.6 HBase Master