On November 22, 2019, we released CDP Data Center, our next-generation on-premises offering, representing the strongest elements of the former Cloudera and Hortonworks platforms accompanied by new innovations for better scalability, performance and private cloud readiness. Relative to Cloudera’s Enterprise Data Hub, CDP Data Center now offers: Better security: attribute-based, fine-grained access controls featuring dynamic row filtering and column masking with Ranger. Better governance: more scalable data lineage, data discovery, and metadata search with Atlas 2.0. Better performance: faster Hive queries and support for ACID transactions. Relative to Hortonworks Data Platform, CDP Data Center brings: Better management: manage multiple clusters from one control plane, one-click wire encryption, and streamlined maintenance operations with Cloudera Manager. Better SQL analytics: low-latency interactive SQL with Impala, Kudu, and Hue. Better encryption: enterprise-grade cryptographic key storage with Key Trustee Server. And for all our customers, CDP Data Center provides the foundation (storage and SDX) for our upcoming CDP Private applications. But that’s only scratching the surface. For a complete list of features and information on Data Center, make sure to visit all these great resources: Data Center Docs Data Center Trial Downloads CDP Data Center Release Notes As always, we welcome your feedback. Please send your comments and suggestions to the user group through our community forums. You can also report issues through our external Jira projects on issues.cloudera.org.
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@anshuman HBase supports non-local as well as local HDFS independent of the VPC (Virtual Private Cluster) capability for storefiles. HDFS is expected to be local for WAL files. When using non-local HDFS, you will have greater latencies in HBase due to the loss of data locality. This is the same architecture that we support in the cloud where we use HDFS on instance storage for the WAL and S3 for object storage. Any compute engine can be hosted separately from HBase and still access resources on HBase. There is no locality dependency for MR2 on HBase.
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