DATA ANALYTICS WITH SPARK USING PYTHON

Spark is at the heart of today’s big data revolution, helping data professionals supercharge efficiency and performance in a wide range of data processing and analytics tasks. In this guide, big data expert Jeffrey aven covers all students need to know to leverage Spark, together with its extensions, subprojects and wider ecosystem. Aven combines a language-agnostic introduction to foundational Spark concepts with extensive programming examples utilizing the popular and intuitive pyspark development environment. This guided focus on Python makes it widely accessible to students at various levels of experience those with little Hadoop or Spark experience. Aven’s broad coverage ranges from basic to advanced Spark programming and Spark SQL to machine learning. Students will learn how to efficiently manage all forms of data with Spark: Streaming, structured, semi-structured and unstructured.