The super-active Apache Spark community is exerting a strong gravitational pull within the Apache Hadoop ecosystem. I recently had that opportunity to ask Cloudera’s Apache Spark committers (Sean Owen, Imran Rashid [PMC], Sandy Ryza, and Marcelo Vanzin) for their perspectives about how the Spark community has worked and is working together, and the work to be done via the One Platform initiative to make the Spark stack enterprise-ready.
Recently, Apache Spark has become the most currently active project in the Apache Hadoop ecosystem (measured by number of contributors/commits over time),
Thanks to Barclays employees Sam Savage, VP Data Science, and Harry Powell, Head of Advanced Analytics, for the guest post below about the Barclays use case for Apache Spark and its Scala API.
At Barclays, our team recently built an application called Insights Engine to execute an arbitrary number N of near-arbitrary SQL-like queries and execute them in a way that can scale with increasing N. The queries were non-trivial,
The best data protection strategy is to remove sensitive information from everyplace it’s not needed.
Have you ever wondered what sort of “sensitive” information might wind up in Apache Hadoop log files? For example, if you’re storing credit card numbers inside HDFS, might they ever “leak” into a log file outside of HDFS? What about SQL queries? If you have a query like select * from table where creditcard = ‘1234-5678-9012-3456’,
Use the scripts and screenshots below to configure a Kerberized cluster in minutes.
Kerberos is the foundation of securing your Apache Hadoop cluster. With Kerberos enabled, user authentication is required. Once users are authenticated, you can use projects like Apache Sentry (incubating) for role-based access control via GRANT/REVOKE statements.
Taming the three-headed dog that guards the gates of Hades is challenging, so Cloudera has put significant effort into making this process easier in Hadoop-based enterprise data hubs. In this post,
Impala authentication can now be handled by a combination of LDAP and Kerberos. Here’s why, and how.
Impala, the open source analytic database for Apache Hadoop, supports authentication—the act of proving you are who you say you are—using both Kerberos and LDAP. Kerberos has been supported since release 1.0, LDAP support was added more recently, and with CDH 5.2, you can use both at the same time.
Using LDAP and Kerberos together provides significant value;