AI-POWERED DATA OPERATIONS FOR MODERN DATA APPLICATIONS

January 15, 2019

Today, more than 10,000 enterprise businesses worldwide use a complex stack composed of a combination of distributed systems like Spark, Kafka, Hadoop, NoSQL databases, and SQL access technologies. At Unravel, we have worked with many of these businesses across all major industries. These customers are deploying modern data applications in their data centers, in private cloud deployments, in public cloud deployments, and in hybrid combinations of these. Big data programs often stem from the needs and activities of BI teams and activities in the enterprise. For big data BI, massively parallel processing (MPP) SQL systems like Impala, Presto, LLAP, Drill, BigQuery, RedShift, or Azure SQL DW are added to the stack; sometimes alongside incumbent MPP SQL systems like Teradata and Vertica. Compared to traditional MPP systems, newer solutions have been created to deal with data stored in different distributed storage systems like HDFS, Amazon S3, and Microsoft Azure Blob Storage (ABS). These systems power the interactive SQL queries common to business intelligence workloads.

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