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HDP Developer Apache Pig and Hive Training


What HDP Developer Apache Pig and Hive training is all about?

This training is recommended for developers who know how to create apps in analyzing Big data stored in Apache Hadoop by utilizing Hive and Pig. The topics also coves HDFS, data ingestion, Hadoop, data ingestion and workflow definition, utilizing Pig and Hive in performing data analytics stored on Big Data. The course also covers introductory course Spark SQL and Spark Core.

Schedule

Contact us to customize this class with your preferred dates, times and location.
You can call us on 1-800-961-0337 or Chat with our representative.

What are the course objectives for HDP Developer Apache Pig and Hive training?
  • Describing about YARN and utilize cases for Hadoop.
  • Describing about Hadoop frameworks and ecosystem tools.
  • Describing Hadoop frameworks and ecosystem tools.
  • Describing about HDFS architecture.
  • Utilizing the Hadoop client and input data into HDFS.
  • Transferring of data between Hadoopn and relation database.
  • Explaining MaoReduce architectures and YARN.
  • Running MapReduce job on YARN.
  • Utilizing Pig to transform and explore data in HDFS.
  • Understanding about Hive Tables which are implemented and defined.
  • Utilizing the functionalities used in Hive Windows.
  • Utilizing Hive to analyze and explore datasets.
  • Utilizing and explaining about the several Hive File Formats.
  • Populating and creating a Hive table that utilized ORC file supported extension.
  • Utilizing Hive to execute SQL queries in performing data analysis.
  • Utilizing Hive for joining data sets and utilizing widespread techniques.
  • Writing effectual Hive queries.
  • Performing data analytics utilizing the DataFu Pig library.
  • Explaining the purposes and utilizing HCatalog.
  • Scheduling and defining about Oozie workflow.
  • Presenting high-level architecture and Spark ecosystem.
  • Exploring DataFrame API and Spark SQL.
Who should attend HDP Developer Apache Pig and Hive training?

This training is intended for software developers who want to gain knowledge in developing apps for Hadoop.

What are the prerequisites for HDP Developer Apache Pig and Hive training?

The recommended prerequisite for this course is familiarity with software development and programming principles. However, any specific knowledge of Hadoop is not required.

What is the course outline for HDP Developer Apache Pig and Hive training?
  • 1. IN INTRODUCTION TO THE HADOOP DISTRIBUTED FILE SYSTEM
  • Understanding Hadoop
  • The Hadoop Distributed File System
  • Ingesting Data into HDFS
  • The MapReduce Framework
  • LABS

  • Starting an HDP Cluster
  • Demonstration: Understanding Block Storage
  • Using HDFS Commands
  • Importing RDBMS Data into HDFS
  • Exporting HDFS Data to an RDBMS
  • Importing Log Data into HDFS Using Flume
  • Demonstration: Understanding MapReduce
  • Running a MapReduce Job
  • 2. AN INTRODUCTION TO APACHE PIG
  • Introduction to Apache Pig
  • Advanced Apache Pig Programming
  • LABS

  • Demonstration: Understanding Apache Pig
  • Getting Starting with Apache Pig
  • Exploring Data with Apache Pig
  • Splitting a Dataset
  • Joining Datasets with Apache Pig
  • Preparing Data for Apache Hive
  • Demonstration: Computing Page Rank
  • Analyzing Clickstream Data
  • Analyzing Stock Market Data Using Quantiles
  • 3. AN INTRODUCTION TO APACHE HIVE
  • Apache Hive Programming
  • Using HCatalog
  • Advanced Apache Hive Programming
  • LABS

  • Understanding Hive Tables
  • Understanding Partition and Skew
  • Analyzing Big Data with Apache Hive
  • Demonstration: Computing NGrams
  • Joining Datasets in Apache Hive
  • Computing NGrams of Emails in Avro Format
  • Using HCatalog withApachePig
  • 4. WORKING WITH SPARK CORE, SPARK SQL AND OOZIE
  • Advanced Apache Hive Programming (Continued)
  • Hadoop 2 and YARN
  • Introduction to Spark Core and Spark SQL
  • Defining Workflow with Oozie
  • LABS

4 Days | $ 2800
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