Big Data

Explore the potential of Apache Spark and its ecosystem through real-world applications.

Delve into 7 short lessons and daily exercises carefully chosen to get you started with Apache Spark

Perform Big Data analytics and draw conclusions from data without extensive programming knowledge

Use PySpark to productionize analytics over Big Data and easily crush messy data at scale

Discover proven techniques to create testable, immutable, and easily parallelizable Spark jobs

Solve all big data problems by learning how to create efficient data models

Perform real-time data analytics, stream and batch processing on your application using Hadoop

Perform real-time data analytics with Hadoop

Effectively store, manage, and analyze large Datasets with HDFS, SQOOP, YARN, and MapReduce

Learning Apache Storm for Big Data Processing

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence

Explore big data concepts, platforms, analytics, and their applications using the power of Hadoop 3

Leverage the power of Microsoft Azure Data Factory v2 to build hybrid data solutions

Learn Apache Spark and Python by 12+ hands-on examples of analyzing big data with PySpark and Spark

Learn to analyze large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.