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

A-Team Insight Blogs

Intel Enters Hadoop Fray

Subscribe to our newsletter

Intel has introduced its own distribution of Hadoop, incorporating enterprise level features for security, performance and management. The IT giant has also announced a number of partners for its offering, which it will sell on a subscription basis, ranging from the likes of Cisco Systems and Dell, to MarkLogic, SAP and Teradata.

As part of its distribution, Intel has made software updates to a number of Hadoop components, including the HDFS file system, Yarn distributed processing framework, Hive SQL interface and HBase columnar store.  These updates have been contributed back to the Apache open source project, on which Intel’s distribution is based.

Performance enhancements include optimisation for solid state disks and cache acceleration, and hardware-based encryption and decryption leveraging the AES instructions of Intel chips.

Intel has also introduced a proprietary module – Intel Manager for Apache Hadoop – which provides additional functionality for deployment, management, monitoring and security.

As well as its own Hadoop distribution, Intel is continuing to develop its Graph Builder visualisation tool for analysing Hadoop-based data. It has also made investments in 10gen and its MongoDB NoSQL database and in operational analytics specialist Guavus.

In introducing its own distribution, Intel expects to accelerate deployment of Hadoop – and sales of its microprocessors, SSDs and networking products alongside.  That will mean increased competition for the big three Hadoop startups – Cloudera, Hortonworks and MapR Technologies, who all offer distributions with their own added features and functionality.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

Data as a Product: From Collection to Control in Modern Markets

For much of the past decade, data strategy in capital markets focused on accumulation. Firms invested heavily in market data feeds, alternative datasets, data lakes, and analytics platforms. Yet despite this abundance, many organisations have still struggled to answer basic operational questions with confidence, particularly during periods of market stress. The problem is no longer...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Best Practice Client Onboarding

Client onboarding is central to the success of banks, yet it continues to present challenges and the benefits of getting it right are difficult to achieve. The challenges arise from siloed systems, manual processes and poor entity data quality. The potential benefits of successful implementation include excellent client experience, improved client acquisition and loyalty, new business opportunities, reductions in costs, competitive advantage, and confidence in compliance.