Spark

Deploy scalable clusters of SQL Server with Spark and HDFS containers running on Kubernetes using SQL Server 2019 Big Data clusters

Develop industrial solutions based on deep learning models with Apache Spark

Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobs

End to end pipeline with different deep learning frameworks to be embedded in Spark workflows

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

A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark.

Efficiently tackle large data sets and big data analysis challenges using Spark and Python

Combine advanced analytics including Machine Learning, Deep Learning Neural Networks and Natural Language Processing with modern scalable technologies including Apache Spark to derive actionable insights from Big Data in real-time

Handle high volumes of data at high speed. Architect and implement an end-to-end data streaming pipeline

No need to spend hours ploughing through endless data - let Spark, one of the fastest big data processing engines available, do the hard work for you.

Add Spark Streaming to your data science and machine learning Python projects

Combine the power of Apache Spark and Python to build effective big data applications

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

Learn Apache Spark and Scala by 12+ hands-on examples of analyzing big data

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