Apache Hadoop’s security was designed and implemented around 2009, and has been stabilizing since then. However, due to a lack of documentation around this area, it’s hard to understand or debug when problems arise. Delegation tokens were designed and are widely used in the Hadoop ecosystem as an authentication method. This blog post introduces the concept of Hadoop Delegation Tokens in the context of Hadoop Distributed File System (HDFS) and Hadoop Key Management Server (KMS),
We at Cloudera believe that all companies should have the power to leverage data for financial gain, to lower operational costs, and to avoid risk. We enable this by providing an enterprise grade platform that allows customers to easily manage, store, process, and analyze all of your data, regardless of volume and variety.
Cloudera’s Enterprise Data Hub (EDH), a modern machine learning and analytics platform that is optimized for the cloud,
Azure Data Lake Store (ADLS) is a highly scalable cloud-based data store that is designed for collecting, storing and analyzing large amounts of data, and is ideal for enterprise-grade applications. Data can originate from almost any source, such as Internet applications and mobile devices; it is stored securely and durably, while being highly available in any geographic region. ADLS is performance-tuned for big data analytics and can be easily accessed from many components of the Apache Hadoop ecosystem,
More of you are moving to public cloud services for backup and disaster recovery purposes, and Cloudera has been enhancing the capabilities of Cloudera Manager and CDH to help you do that. Specifically, Cloudera Backup and Disaster Recovery (BDR) now supports backup to and restore from Amazon S3 for Cloudera Enterprise customers.
BDR lets you replicate Apache HDFS data from your on-premise cluster to or from Amazon S3 with full fidelity (all file and directory metadata is replicated along with the data).
New R package implyr enables R users to query Impala using dplyr.
Apache Impala (incubating) enables low-latency interactive SQL queries on data stored in HDFS, Amazon S3, Apache Kudu, and Apache HBase. With the availability of the R package implyr on CRAN and GitHub, it’s now possible to query Impala from R using the popular package dplyr.
dplyr provides a grammar of data manipulation,