Apache Spark is hailed as being Hadoop's successor, claiming its throne as the hottest Big Data platform. What the founding fathers of Spark are saying and doing about its future and its positioning in the market has never been more timely.
Spark vs Hadoop: Hadoop Spark are not mutually exclusive but users suggest Spark Hadoop work well together. Understand how Hadoop Spark are better together.
Microsoft cuts Azure HDInsight prices, gives developers new big data tools || Apache Spark enhancements are on the way, as are a whole host of new products. https://www.cbronline.com/news/microsoft-azure-hdinsight-prices-developers-big-data?utm_campaign=crowdfire&utm_content=crowdfire&utm_medium=social&utm_source=pinterest
The Ultimate Hands-On Hadoop – Tame your Big Data - Hadoop, MapReduce, HDFS, Spark, Pig, Hive, HBase, MongoDB, Cassandra, Flume - the list goes on! Over 25 technologies
Simple Spark Streaming & Kafka Example in a Zeppelin Notebook | Hadoop by Passion, Big Data for Love!
Infographic: Apache Spark Incredibly Faster than Mapreduce and Mahout . Spark is not tied to the two-stage MapReduce paradigm, and promises performance up to 100 times faster than HadoopMapReduce for certain applications.
50 Data Science and Machine Learning Cheat Sheets Cheat sheets for MySQL & SQL: For a data scientist basics of SQL are as important as any other language as well. Cheat sheets for Spark: Apache Spark is an engine for large-scale data processing.