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.

Develop fast, efficient distributed deep learning models with Apache Spark

Speed up the design and implementation of deep learning solutions using Apache Spark

Implement machine learning algorithms and evaluate how well they perform with the Scala programming language

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.

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

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

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

Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework

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