"The idea behind Data Lake is — as the name implies — to give developers a single place to store all of their structured and semi-structured data in its native format without having to worry about storage and capacity limitations on individual files.Microsoft Announces Azure Data Lake, A Data Repository For Big Data Analytics | TechCrunch
Data Lake is compatible with the Hadoop File System, so it will play nicely with all of the standard Hadoop big data tools like Spark, Storm and Kafka, as well as services from Hortonworks, Cloudera and Microsoft’s own Azure HDInsight. Indeed, Microsoft’s corporate vice president for its data platform T.K. “Ranga” Rengarajan described this as an “important commitment to the Hadoop ecosystem” when I talked to him about today’s announcements earlier this week."
Thursday, April 30, 2015
Microsoft Announces Azure Data Lake, A Data Repository For Big Data Analytics | TechCrunch
This probably makes investors in Cloudera, Hortonworks, and MapR apprehensive; for an overview of Microsoft data* and other news from the first day of its BUILD conference, see New services for intelligent apps + tools and runtimes for any platform & every device (The Official Microsoft Blog)