Ementorhub

What you'll learn

Learn to set up and configure Hive, Pig, HBase, and Spark for efficient big data analysis and processing within the Hadoop ecosystem.

Master Hive’s SQL-like queries for data retrieval, management, and optimization using partitions and joins to enhance query performance.

Understand Pig Latin for scripting data transformations, including the use of operators like join and debug to process large datasets effectively.

Gain expertise in NoSQL databases with HBase for real-time read/write operations, and use Spark’s core programming model for fast data processing.

Skills you'll gain

Apache Hadoop

NoSQL

Data Management

Data Manipulation

Apache Hive

Big Data

Data Processing

SQL

Scripting Languages

Apache Spark

Data Transformation

Query Languages

There are 5 modules in this course

What makes this course unique is its comprehensive approach to integrating various Hadoop tools into a cohesive workflow. You'll not only learn how to use each tool individually but also understand how to effectively combine them to optimize data processing and analysis. Through hands-on exercises and examples, you'll gain the confidence and skills to tackle complex data challenges and extract valuable insights from big data. Whether you're looking to enhance your data analysis capabilities for work or want to deepen your knowledge of Hadoop and big data tools, this course offers valuable skills that will help you succeed.

Data Analysis Using Hive

Data Analysis Using Pig

Hadoop NoSQL Database HBase

Spark