
PySpark & AWS: Master Big Data With PySpark and AWS
Mastering AWS & PySpark: Spark, PySpark, AWS, Spark Ecosystem, Hadoop, and Spark Applications [AWS, Hadoop, Pyspark]
Spark for Data Professionals introduces and solidifies the concepts behind Spark 2.x, teaching working developers, architects, and data professionals exactly how to build practical Spark solutions. Jeffrey Aven covers all aspects of Spark development, including basic programming to Spark SQL, Spark R, Spark Streaming, Messaging, No SQL and Hadoop integration.
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Mastering AWS & PySpark: Spark, PySpark, AWS, Spark Ecosystem, Hadoop, and Spark Applications [AWS, Hadoop, Pyspark]
Mastering AWS & PySpark: Spark, PySpark, AWS, Spark Ecosystem, Hadoop, and Spark Applications [AWS, Hadoop, Pyspark]
Comprehensive Big Data Mastery: Scala, Spark, PySpark, AWS, Data Scraping & Data Mining with Python, Mining and MongoDB
Apache Spark is rapidly becoming the preferred computing engine for Big Data systems. It's fast, fast, scalable, fault-tolerant, and exceptionally flexible and extensible. Now, in just 24 lessons of one hour or less, you can learn all the skills and techniques you'll need to successfully build practical Spark solutions. Each short, easy lesson builds on all that's come before: you'll learn all of Spark's essentials, and extend it to meet your unique challenges.
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