Practical Apache Spark: Using the Scala API

<DIV><DIV>WORK WITH APACHE SPARK USING SCALA TO DEPLOY AND SET UP SINGLE-NODE, MULTI-NODE, AND HIGH-AVAILABILITY CLUSTERS. THIS BOOK DISCUSSES VARIOUS COMPONENTS OF SPARK SUCH AS SPARK CORE, DATAFRAMES, DATASETS AND SQL, SPARK STREAMING, SPARK MLIB, AND R ON SPARK WITH THE HELP OF PRACTICAL CODE SNIPPETS FOR EACH TOPIC. <I>PRACTICAL APACHE SPARK</I> ALSO COVERS THE INTEGRATION OF APACHE SPARK WITH KAFKA WITH EXAMPLES. YOU’LL FOLLOW A LEARN-TO-DO-BY-YOURSELF APPROACH TO LEARNING – LEARN THE CONCEPTS, PRACTICE THE CODE SNIPPETS IN SCALA, AND COMPLETE THE ASSIGNMENTS GIVEN TO GET AN OVERALL EXPOSURE.&NBSP;</DIV><BR></DIV>ON COMPLETION, YOU’LL HAVE KNOWLEDGE OF THE FUNCTIONAL PROGRAMMING ASPECTS OF SCALA, AND HANDS-ON EXPERTISE IN VARIOUS SPARK COMPONENTS. YOU’LL ALSO BECOME FAMILIAR WITH MACHINE LEARNING ALGORITHMS WITH REAL-TIME USAGE.<DIV><BR></DIV><DIV><B>WHAT YOU WILL LEARN</B></DIV><DIV><UL><LI>DISCOVER THE FUNCTIONAL PROGRAMMING FEATURES OF SCALA<BR></LI><LI>UNDERSTAND THE COMPLETE ARCHITECTURE OF SPARK AND ITS&NBSP;COMPONENTS</LI><LI>INTEGRATE APACHE SPARK WITH HIVE AND KAFKA&NBSP;<BR></LI><LI>USE SPARK SQL, DATAFRAMES, AND DATASETS TO PROCESS DATA USING TRADITIONAL SQL QUERIES<BR></LI><LI>WORK WITH DIFFERENT MACHINE LEARNING CONCEPTS AND LIBRARIES USING SPARK'S MLLIB PACKAGES<BR></LI></UL></DIV><DIV><BR></DIV><DIV><B>WHO THIS BOOK IS FOR</B></DIV><DIV><BR></DIV><DIV>DEVELOPERS AND PROFESSIONALS WHO DEAL WITH BATCH AND STREAM DATA PROCESSING.&NBSP;</DIV><DIV><BR><BR></DIV>