According to Gartner, “through 2018, 80 percent of data lakes will not include effective metadata management capabilities, making them inefficient.” Tools within the Apache Spark ecosystem, such as SparkSQL, MlLib, and GraphX, are making ingesting, transforming, and querying data easier, but a missing link remains.
In order to harness the power of pattern-finding to discover unknown insights from the relationships between your historical Big Data and streaming Fast Data, a mature, proven metadata repository must be at the center of your organization’s data architecture.
