Data Warehousing with Hadoop E-Learning

Order this unique E-Learning course "Data Warehousing with Hadoop" online!
✔️ 1 year of 24/7 access to rich interactive videos, voice support, progress tracking through reports, and chapter-based tests to immediately assess your knowledge.

Why choose this training?

In this course, you will learn how to use Hadoop for data warehousing—an essential skill for efficiently managing and analyzing large volumes of data. Hadoop is an open-source platform used for storing and processing big datasets and is widely adopted in modern data warehousing solutions.

What you will learn:

• Introduction to Hadoop: Learn the fundamentals of Hadoop, including the Hadoop Distributed File System (HDFS) and the MapReduce framework for processing data.
• Data Warehousing and Hadoop: Understand how Hadoop integrates with traditional data warehousing environments and why it is well-suited for big data management.
• Building Data Warehouses: Discover best practices for designing and implementing data warehouses using Hadoop.
• Working with Hive and Pig: Learn how to use Hive and Pig—popular tools built on top of Hadoop that simplify querying and data manipulation.
• Data Integration: Learn how to integrate data from various sources into a Hadoop-driven data warehouse.
• Scaling with Hadoop: Discover how to scale your data warehouse to store and process massive amounts of data.

This course offers hands-on experience with the tools and techniques needed to work with big data and implement efficient data warehousing solutions on the Hadoop platform.

Who should take this course?

This course is ideal for:

• Data Engineers who want to use Hadoop for data warehousing and big data processing.
• Business Intelligence Professionals interested in building efficient data warehouses for business insights.
• Big Data Analysts and Scientists who want to learn how to use Hadoop to analyze large volumes of unstructured data.
• Database Administrators looking to expand their knowledge from traditional data warehousing to modern big data solutions.
• Software Developers who want to learn how to integrate Hadoop into their applications for data storage and processing.
• Students and beginners interested in data warehousing and big data solutions.

If you want to enhance your data warehousing skills and leverage the power of Hadoop to manage and analyze massive datasets, this course is perfect for you!

Course content

Data Warehousing with Hadoop: Managing Big Data Using HDInsight Hadoop

Course: 1 Hour, 6 Minutes

• Features of HDInsight
• Fundamentals and Types of Clusters in HDInsight
• Essential Opensource Components of HDInsight
• Setting Up Hadoop Clusters on Azure HDInsight
• HDInsight Clusters with Resource Manager Template
• HDInsight Services and Storage Types
• Azure Management Console
• Creating and Managing HDInsight Clusters
• Setting Up HDInsight Emulator
• Programming in HDInsight
• Developing and Executing MapReduce Program
• Exercise: Working with HDInsight and MapReduce

Data Warehousing with Hadoop: Microsoft Analytics Platform System and Hive

Course: 1 Hour, 29 Minutes

• Microsoft Analytics Platform System
• Understanding PolyBase
• Parallel Data Warehouse Architecture
• Data Exploration Architectures
• Hive Introduction
• Hive Architecture in HDInsight
• Setting up the Development Environment for Hive
• Connect and Submit Queries
• Hive QL
• Using Azure PowerShell and Beeline
• Creating a Database and Tables and Loading Data
• Partition Tables and Data Formats
• Hue Installation and Hive Query Management
• Using Microsoft BI and Hive
• Hive as ETL
• HBase and Hive
• Exercise: Creating and Loading Data into Hive Tables

Data Warehousing with Hadoop: HDInsight and Retail Sales Implementation Using Hive

Course: 46 Minutes

• Data Modeling
• Dimensional Design Process
• Dimensional Design Steps
• Retail Business Use Cases
• Dimension Tables
• Fact tables
• Data Loading in Dimension and Fact Tables
• Essential Queries
• Creating and Executing Queries
• Hive and Power BI for Visualization

Data Warehousing with Hadoop: Spark, HDInsight and Cluster Management

Course: 56 Minutes

• Spark Introduction
• Data Representation in Spark
• Create Spark Clusters Using PowerShell
• Spark SQL and Hive
• Spark SQL Data Sources and DataFrames
• Customizing HDInsight Cluster
• Application Installation on HDInsight
• Ambari User Management
• HDInsight Management Using Azure CLI
• Troubleshooting HDInsight
• Monitoring HDInsight Hadoop
• Exercise: Working with Spark and Ambari