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The 10 Coolest Big Data Products Of 2017

Big data remains one of the most dynamic technology areas of the IT industry with demand for big data software and services expected to exceed $200 billion by 2020. Here are a few new products that caught our attention in 2017.

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Cloudera Altus

Businesses are increasingly turning to the cloud to run their data processing and analytics operations. In May big data platform developer Cloudera launched Cloudera Altus, a Platform-as-a-Service system for running large-scale data processing applications in a public cloud system.

The first available platform component was Cloudera Altus Data Engineering, a service that simplifies the development and deployment of elastic data pipelines used to provision data to Apache Spark, Apache Hive, Hive on Spark and MapReduce2 systems.

Data engineers can use the service, available on Amazon Web Services, to run direct reads from and writes to cloud object storage systems without the need for data replication, ETL tools or changes to file formats.

On Nov. 28 the company debuted Altus Analytic DB, a cloud-based data warehouse service that delivers self-service business intelligence and SQL analytics to everyday users. Altus Analytic DB uses the high-performance Apache Impala SQL query engine. A beta version of the product is expected to be available shortly.

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