About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Oracle Announces X3-2 Appliance; Includes Cloudera

Subscribe to our newsletter

Oracle has that perfect holiday present for data scientists … the just announced Oracle Big Data Appliance X3-2 includes the latest microprocessors from Intel, plus a distribution of Cloudera’s Hadoop, together with Cloudera Manager.  Specifically, Oracle is tapping Intel’s Xeon E5-2600 8-core chips (sometimes referred to as Sandy Bridge), and the appliance can be configured up to 288 cores.

Some highlights of the new appliance:

* Support for Cloudera’s CDH4.1 release, including software upgrades developed collaboratively with Cloudera to simplify NameNode High Availability in Hadoop, eliminating the single point of failure in a Hadoop cluster.

* Inclusion of the Oracle NoSQL Database Community Edition 2.0 with improved Hadoop integration, elastic scaling and new APIs, including JSON and C support.

* Oracle Big Data Connectors have been enhanced to enable greater SQL access to Hadoop from Oracle Database and to enable more transparent access to Hadoop from R.

* The Oracle Enterprise Manager plug-in for Big Data Appliance that complements Cloudera Manager to enable users to more easily manage a Hadoop cluster.

* Updated distributions of Oracle Linux and Oracle Java Development Kit.

* An updated distribution of open source R, optimised to work with high performance multi-threaded math libraries.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

Putting Quantum Computing to the Algo Trading Test

Quantum computing has long been discussed in capital markets as a technology with potentially transformative applications, but one whose practical impact remains some way off. Recent work by HSBC and IBM suggests the gap between quantum research and real-world trading may be starting to narrow. In a study using production-scale European corporate bond trading data,...

EVENT

Data Management Summit London

Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.

GUIDE

GDPR Handbook

The May 25, 2018 compliance deadline of General Data Protection Regulation (GDPR) is approaching fast, requiring financial institutions to understand what personal data they hold, why they process it, and whether it is shared with other organisations. In line with individuals’ rights under the regulation, they must also provide access to individuals’ personal data and...