Welcome!

News Feed Item

Hitachi Develops Open Source Software Based Big Data Analytics Technology to Increase Speed by Up to 100 Times



For a high-speed analytics system with lower IT investment

Overview of the technology developed

TOKYO, Nov 15, 2017 - (JCN Newswire) - Hitachi, Ltd. (TSE: 6501) today announced the development of the technology increasing the speed of big data analytics on an open source software Hadoop-based distributed data processing platform(1) (Hadoop platform) by a maximum of 100 times that of a conventional system. This technology converts data processing procedure generated for software processing in conventional Hadoop data processing, to that optimized for parallel processing on hardware, to enable high-speed processing of various types of data in FPGA(2). As a result, less number of servers will be needed when conducting high-speed big data analytics, thus minimizing IT investment while enabling interactive analytics by data scientists, quick on-site business decision making, and other timely information services. This technology will be applied to areas such as finance and communication, and through verification tests, will be used to support a platform for data analytics service.

http://www.acnnewswire.com/topimg/Low_HitachiHadoopPlatform.jpg
Overview of the technology developed

In recent years, big data analytics for interactively analyzing large amounts of various types of data from sources such as sensor information in IoT, financial account transaction records and social media, under various conditions and from various perspectives for business and services, is becoming increasingly important. The open source Hadoop platform is widely used for such analytics, however as many servers are required to raise processing speed, issues existed in terms of equipment and management costs.

In 2016, Hitachi developed high performance data processing technology using FPGA(3). As this technology however was developed for Hitachi's proprietary database, it could not easily be applied to the Hadoop platform as it employed a different data management method and used customized database management software.

To address this issue, Hitachi developed technology to realize high-speed data processing on the Hadoop platform utilizing FPGA(4). Features of the technology developed are outlined below.

1) Data processing procedure conversion technology to optimize FPGA processing efficiency

The Hadoop platform data processing engine optimizes data processing using the CPU to serially execute software to retrieve, filter and compute. Simply executing this procedure however does not fully exploit the potential of the hardware to achieve high-speed processing through parallel processing. To overcome this, the Hadoop processing procedures were analyzed, and taking into consideration distributed processing efficiency, technology was developed to convert the order of the processing commands to that optimized for parallel processing on FPGA. This will enable the FPGA circuit to be efficiently used without loss.

2) Logic circuit design to analyze various data formats and enable high-speed processing in FPGA

Conventionally in FPGA processing, to facilitate processing on the hardware, the formats of different types of data, such as date, numerical value and character string, was restricted, and dedicated processing circuits were required for each type of data. The Hadoop platform however needs to deal with multiple data formats even for the same item, for example, even with dates there is the UNIX epoch day expression as well as the Julian day expression among others. Thus, as many dedicated processing circuits would be needed, the limited FPGA circuitry could not be effectively used with conventional FPGA processing. To resolve this issue, a logic circuit was designed to optimize parallel processing in FPGA, using parser circuits that clarify various data types and sizes*5 and depending on the data type and size, packs multiple data to be processed in one of the circuits. As a result, it is possible to not only handle various data formats but also realize parallel processing fully utilizing filtering and aggregation circuits for efficient high-speed data processing.

The technology developed was applied to the Hadoop platform. When analytics was performed on sample data, it was found that data processing performance improved by up to 100 times. The results suggest it will be possible to reduce the cost of Hadoop-based big data analytics as the number of servers required for high-speed processing can be significantly reduced. Hitachi will now conduct verification tests together with customers as it works towards the commercialization of this technology.

The technology developed will be on exhibit at SC17 - The International Conference for High Performance Computing, Networking, Storage and Analysis, to be held from 13th to 16th November 2017 in Denver, Colorado, USA.

(1) Hadoop-based distributed data processing platform: A computation platform for storing and analyzing large amount of data on distributed servers using open source software, "Hadoop"
(2) FPGA (Field Programmable Gate Array): An integrated circuit manufactured to be programmable by the purchaser. In general, FPGA is inexpensive compared to application specific circuits.
(3) 3rd August 2016 News Release: "Hitachi develops high performance data processing technology increasing data analytics speed by up to 100 times"
(4) 10 related international patents pending
(5) Supports the standard format "Parquet," generally used in open source data processing platforms such as Hadoop

About Hitachi, Ltd.

Hitachi, Ltd. (TSE: 6501), headquartered in Tokyo, Japan, delivers innovations that answer society's challenges with our talented team and proven experience in global markets. The company's consolidated revenues for fiscal 2014 (ended March 31, 2015) totaled 9,761 billion yen ($81.3 billion). Hitachi is focusing more than ever on the Social Innovation Business, which includes power & infrastructure systems, information & telecommunication systems, construction machinery, high functional materials & components, automotive systems, healthcare and others. For more information on Hitachi, please visit the company's website at www.hitachi.com.

Source: Hitachi, Ltd.

Contact:
Hitachi Ltd
Corporate Communications
Tel: +81-3-3258-1111




Copyright 2017 JCN Newswire . All rights reserved.

More Stories By ACN Newswire

Copyright 2008 ACN Newswire. All rights reserved. Republication or redistribution of ACN Newswire content is expressly prohibited without the prior written consent of ACN Newswire. ACN Newswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understa...
Codete accelerates their clients growth through technological expertise and experience. Codite team works with organizations to meet the challenges that digitalization presents. Their clients include digital start-ups as well as established enterprises in the IT industry. To stay competitive in a highly innovative IT industry, strong R&D departments and bold spin-off initiatives is a must. Codete Data Science and Software Architects teams help corporate clients to stay up to date with the mod...
There are many examples of disruption in consumer space – Uber disrupting the cab industry, Airbnb disrupting the hospitality industry and so on; but have you wondered who is disrupting support and operations? AISERA helps make businesses and customers successful by offering consumer-like user experience for support and operations. We have built the world’s first AI-driven IT / HR / Cloud / Customer Support and Operations solution.
ScaleMP is presenting at CloudEXPO 2019, held June 24-26 in Santa Clara, and we’d love to see you there. At the conference, we’ll demonstrate how ScaleMP is solving one of the most vexing challenges for cloud — memory cost and limit of scale — and how our innovative vSMP MemoryONE solution provides affordable larger server memory for the private and public cloud. Please visit us at Booth No. 519 to connect with our experts and learn more about vSMP MemoryONE and how it is already serving some of...
Platform9, the leader in SaaS-managed hybrid cloud, has announced it will present five sessions at four upcoming industry conferences in June: BCS in London, DevOpsCon in Berlin, HPE Discover and Cloud Computing Expo 2019.
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
When you're operating multiple services in production, building out forensics tools such as monitoring and observability becomes essential. Unfortunately, it is a real challenge balancing priorities between building new features and tools to help pinpoint root causes. Linkerd provides many of the tools you need to tame the chaos of operating microservices in a cloud native world. Because Linkerd is a transparent proxy that runs alongside your application, there are no code changes required. I...
In his general session at 21st Cloud Expo, Greg Dumas, Calligo’s Vice President and G.M. of US operations, discussed the new Global Data Protection Regulation and how Calligo can help business stay compliant in digitally globalized world. Greg Dumas is Calligo's Vice President and G.M. of US operations. Calligo is an established service provider that provides an innovative platform for trusted cloud solutions. Calligo’s customers are typically most concerned about GDPR compliance, application p...
Modern software design has fundamentally changed how we manage applications, causing many to turn to containers as the new virtual machine for resource management. As container adoption grows beyond stateless applications to stateful workloads, the need for persistent storage is foundational - something customers routinely cite as a top pain point. In his session at @DevOpsSummit at 21st Cloud Expo, Bill Borsari, Head of Systems Engineering at Datera, explored how organizations can reap the bene...
"NetApp's vision is how we help organizations manage data - delivering the right data in the right place, in the right time, to the people who need it, and doing it agnostic to what the platform is," explained Josh Atwell, Developer Advocate for NetApp, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
Druva is the global leader in Cloud Data Protection and Management, delivering the industry's first data management-as-a-service solution that aggregates data from endpoints, servers and cloud applications and leverages the public cloud to offer a single pane of glass to enable data protection, governance and intelligence-dramatically increasing the availability and visibility of business critical information, while reducing the risk, cost and complexity of managing and protecting it. Druva's...
Kubernetes as a Container Platform is becoming a de facto for every enterprise. In my interactions with enterprises adopting container platform, I come across common questions: - How does application security work on this platform? What all do I need to secure? - How do I implement security in pipelines? - What about vulnerabilities discovered at a later point in time? - What are newer technologies like Istio Service Mesh bring to table?In this session, I will be addressing these commonly asked ...
BMC has unmatched experience in IT management, supporting 92 of the Forbes Global 100, and earning recognition as an ITSM Gartner Magic Quadrant Leader for five years running. Our solutions offer speed, agility, and efficiency to tackle business challenges in the areas of service management, automation, operations, and the mainframe.
Blockchain has shifted from hype to reality across many industries including Financial Services, Supply Chain, Retail, Healthcare and Government. While traditional tech and crypto organizations are generally male dominated, women have embraced blockchain technology from its inception. This is no more evident than at companies where women occupy many of the blockchain roles and leadership positions. Join this panel to hear three women in blockchain share their experience and their POV on the futu...
The Jevons Paradox suggests that when technological advances increase efficiency of a resource, it results in an overall increase in consumption. Writing on the increased use of coal as a result of technological improvements, 19th-century economist William Stanley Jevons found that these improvements led to the development of new ways to utilize coal. In his session at 19th Cloud Expo, Mark Thiele, Chief Strategy Officer for Apcera, compared the Jevons Paradox to modern-day enterprise IT, examin...