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SAN RAMON, CA--(Marketwired - September 18, 2014) - WANdisco (LSE: WAND) these days introduced non-stop Hadoop's certification for distribution on IBM's InfoSphere BigInsights platform, offering pre-configured analytics, scalability, and management elements for organisations to without delay installation and yield price from Hadoop.
collectively, non-stop Hadoop and InfoSphere BigInsights will deliver a price-advantageous solution to shop, manage, and analyze data in Hadoop with guaranteed performance, protection, and continual availability to guide critical purposes on a global scale.
non-stop Hadoop is attainable now for brand spanking new and current deployments of InfoSphere BigInsights, and may significantly expand its distribution through IBM's client base.
"we're glad to announce our partnership with IBM and continuous Hadoop's certification on IBM InfoSphere BigInsights. because the variety of creation Hadoop deployments grows to help corporations of all sizes, the want for continuous availability is obvious," referred to David Richards, WANdisco Co-Founder and CEO. "IBM valued clientele can now take capabilities of non-stop Hadoop's one hundred% hardware utilization and assured uptime at deployment, reducing working costs and providing sooner time to price."
AvailabilityNon-cease Hadoop for IBM InfoSphere BigInsights is attainable now. visit here to be taught greater and click right here to request a free contrast.
About WANdiscoWANdisco (LSE: WAND) is a company of commercial enterprise-in a position, continuous application solutions that allow globally dispensed groups to meet today's records challenges of at ease storage, scalability and availability. WANdisco's items are differentiated via the business's patented, active-active facts replication know-how, serving critical high availability (HA) requirements, including Hadoop large statistics and utility Lifecycle administration (ALM), including Apache Subversion and Git. Fortune international one thousand businesses, including Juniper Networks, Motorola, and Halliburton, rely on WANdisco for performance, reliability, security and availability. For additional information, please consult with www.wandisco.com.
About IBM big statistics & AnalyticsEach day we create 2.5 quintillion bytes of facts generated by using lots of sources -- from local weather suggestions, to posts on social media websites, and from purchase transaction information to healthcare scientific photographs. At IBM we consider that data is emerging because the world's newest resource for competitive potential, and analytics is the important thing to make feel of it. IBM is assisting customers harness large information & Analytics to give insights vital to make better decisions, create cost, and bring that value to clients and society. IBM has the realm's deepest and broadest portfolio of large facts & Analytics technologies and options, spanning capabilities, utility, research and hardware.
Apache Hadoop and Subversion are emblems of the Apache utility basis (ASF). All different product and enterprise names herein could be trademarks of their registered homeowners.
IBM and InfoSphere BigInsights are registered emblems of IBM and/or its affiliates.
CUPERTINO, Calif.--(company WIRE)--Karmasphere™, a large statistics Intelligence business, today introduced its new Hadoop digital appliance for builders constructing analytic jobs on IBM InfoSphere BigInsights. The free bundle comprises IBM InfoSphere BigInsights, CentOS Linux, the Eclipse IDE and Karmasphere Studio group, all in a handy digital appliance. With this digital equipment developers can velocity their ramp to MapReduce building to get Hadoop large records Analytics initiatives moving forward in their agencies. Karmasphere is demonstrating the freely purchasable atmosphere this week at the IBM suggestions on Demand and enterprise Analytics forum 2011, on the Mandalay Bay lodge in Las Vegas.
“groups are looking for an easy, least expensive route to profit perception from their massive volumes of unstructured and structured facts of their agencies,” mentioned Martin hall, co-founder and chairman, Karmasphere. “Our work with IBM offers developers with the vigor of a graphical environment to without delay be taught MapReduce construction in assist of their information analysts who should mine and analyze net, cell, sensor and social media facts in Hadoop and produce new value to their enterprise.”
The Karmasphere Studio neighborhood Hadoop Developer digital appliance for IBM InfoSphere BigInsights is effortless to deploy and offers a graphical Eclipse environment that publications the developer via prototyping and trying out MapReduce jobs. The developer can then test the jobs the usage of the IBM InfoSphere BigInsights within the digital equipment to guarantee they're going to characteristic competently when deployed to a far flung Hadoop cluster. it is a good technique to study MapReduce and get started with Hadoop, even without having an IBM InfoSphere BigInsights cluster put in.
InfoSphere BigInsights brings the vigour of Apache Hadoop to the business, adding administrative, workflow, provisioning, and protection facets, together with foremost-in-category analytical capabilities from IBM research. InfoSphere BigInsights allows for enterprises of all sizes to manage and analyze cost with no trouble the huge volume, variety and speed of records that patrons and groups create every day.
The Karmasphere huge facts Intelligence product line contains Karmasphere Analyst, an entire visual workspace for records gurus to explore and analyze large information the use of generic SQL and pre-packaged heuristics. Karmasphere additionally presents Studio knowledgeable version, that has all of the points of the Karmasphere Studio neighborhood protected within the digital equipment, including support for debugging, packaging and optimizing creation Hadoop functions, even via a firewall.
“Karmasphere continues to carry innovation and real cost to IBM shoppers with products that get them mining and analyzing structured and unstructured statistics on Hadoop right away,” referred to Rob Thomas, vp of enterprise development, IBM information management. “The Karmasphere digital appliance for IBM InfoSphere BigInsights reduces the massive data studying curve via presenting an onramp for businesses to get their huge information Analytics projects up and running on Hadoop.”
Karmasphere has already licensed its big records Analytics products to interoperate seamlessly with the IBM huge facts Platform. The free Hadoop construction ambiance from IBM and Karmasphere, can also be downloaded at http://karmasphere.com/download/karmasphere-studio-digital-appliance-for-ibm.html.
Tags: large information, Apache Hadoop, large facts Analytics, IBM, tips on Demand and business Analytics discussion board 2011
Karmasphere, a large records Analytics business, unlocks the power of Apache Hadoop for builders and analysts within the enterprise. In a global where statistics is a must have to corporations, companies come to Karmasphere to bring new functions to market and speed up revenues.
Karmasphere presents a large records Analytics solution to discover unstructured information produced by using internet, cellular, sensor and social media along with traditional structured statistics. The Karmasphere product suite builds on the Karmasphere large records Analytics Engine™ providing independence throughout Hadoop environments, one-click deployment throughout any cloud or cluster, use of ordinary programming and query languages and a graphical user interface, to maximise productiveness for enhanced discovery, perception and motion.
For more counsel visit http://www.karmasphere.com
notice: Karmasphere, Karmasphere huge records Analytics Engine and Karmasphere Studio are trademarks of Karmasphere. All other logos are property of their respective house owners.
IBM will make its Hadoop-primarily based InfoSphere BigInsights platform accessible by the use of the cloud so organizations can perform big facts Analytics without desiring to set up and service Hadoop clusters on premise, based on the business.
The news changed into introduced this morning to coincide with the kick-off of IBM’s annual suggestions on Demand convention in Las Vegas. IBM will present both a free, cloud-based mostly “fundamental” edition and a paid commercial enterprise version. The enterprise edition will also be up-and-working in as little as 30 minutes, based on IBM, with pricing beginning at $.60 per cluster, per hour.
past this month, IBM rival Oracle made its Exadata and Exalytics structures accessible by way of Oracle’s new public cloud offering.
BigInsights business version includes the Apache Hadoop distribution bundled with facts connectors to IBM’s Netezza and DB2 databases, JDBC connectors and comprises IBM BigSheets, the seller’s large statistics front-end analytics device. IBM has also partnered with a number of company analytics companies, most these days Jaspersoft and Karmasphere, to lengthen its huge statistics capabilities.
This morning IBM additionally released an iPad-optimized version of its Cognos company intelligence software; introduced new geographic mapping elements for performing predictive analytics to SPSS information 20.0; launched IBM InfoSphere information Server eight.7 with superior huge information integration capabilities; and unveiled IBM InfoSphere grasp information management 10, which comprises improved integration between big facts and company method management software in addition to a shared matching engine.
IBM BigInsights by means of the enterprise’s SmartCloud gives businesses a simple approach to begin experimenting with Hadoop and big statistics Analytics without a big, upfront investment in associated hardware. It additionally gets rid of the want for agencies to staff their own inside teams to install, tune and manipulate Hadoop clusters. IBM is neatly positioned to present large-facts-as-a-provider thanks to its event with enterprise-stage cloud computing and it’s many investments in enterprise analytics know-how and services.considering you’re here … … We’d want to let you know about our mission and the way you can support us fulfill it. SiliconANGLE Media Inc.’s company mannequin is in keeping with the intrinsic cost of the content, no longer promoting. unlike many on-line publications, we don’t have a paywall or run banner promoting, as a result of we want to preserve our journalism open, devoid of influence or the need to chase traffic.
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Oct 10, 2018Craig S. Mullins
Normally, for this column, I would write a technical article or something on leadership. However, Big data and the impact of analytics on large quantities of data is a trend that is here to stay. The general idea is that large amounts of data, from multiple sources and of multiple types, can be analyzed to produce heretofore unknown insights about your business.
When you mention big data and analytics, the first thing most people think of is Hadoop, Spark, and NoSQL. But are these newer technologies required for big data projects? What about the mainframe?
Mainframes are not often mentioned in big data articles and advertising. But they should be! The mainframe is the most secure and reliable processor of business transactions for the Fortune 500. Millions of CICS and IMS/TM transactions are being processed every second by big businesses and their customers. Every time you book a flight, visit the ATM, or make a purchase just about anywhere, chances are that there is a mainframe behind the scenes making sure that the transaction happens accurately and efficiently. According to a recent study by TechTarget, the No. 1 type of data being collected for big data programs is “structured transaction data.” And most of that lives on a mainframe!
The same study also revealed that most organizations are planning to use mainstream relational databases to support their big data environment—more so than Hadoop, NoSQL, or any other type of database or data platform. So traditional RDBMSs, such as Db2 for z/OS, can be—and are being—used to drive big data projects. O’Reilly’s Data Science Salary Survey found that the top tool used by data scientists is not R or Python, but SQL on relational databases. Yes, the same SQL we all know (and love) has not been displaced by other tools for big data analytics.Relational and Db2 for Big Data?
It makes sense that relational databases can be used for big data projects, but probably not all big data projects. Sometimes relational may not operate or perform as needed when the project requires a large number of columns, a flexible schema, relaxed consistency, or complex graphs. But that does not mean the mainframe cannot be used. IBM’s Linux for System z can run Hadoop as well as many types of NoSQL database systems. Consider, for example, Veristorm’s zDoop distribution of Hadoop that runs on Linux for System z.
IBM also offers Machine Learning for z/OS, a complete machine learning solution to extract value from enterprise data that runs on the mainframe. This solution can be used to ingest and transform data to create, deploy, and manage high-quality self-learning behavioral models using mainframe data.
The IBM Db2 Analytics Accelerator can be integrated with Db2 for z/OS and used to provide powerful analytics processing. The accelerator is a workload-optimized appliance that boosts performance for complex analytic needs. Benchmarks have shown it can run complex queries up to 2000x faster while retaining single record lookup speed. This means that the accelerator delivers high performance for complex business analysis over large amounts of data. And it is completely transparent to your applications; it looks and works just as Db2 for z/OS, only faster.
Furthermore, Db2 has capabilities for ingesting, storing, and processing big data, including JSON documents and integration with Hadoop. IBM’s BigInsights, which is a collection of services for Hadoop, has integration points with Db2 for z/OS. IBM’s InfoSphere BigInsights connector for Db2 for ?z/OS provides user-defined functions that enable developers to write scripts in JAQL to query JSON objects in the BigInsights environment for analysis.
From a more traditional Db2 perspective, compression can be used to reduce the amount of storage used by very large databases. And, you can compress both table data and indexes, thereby using less storage to maintain large amounts of data.
Partitioning can also be used to spread data across multiple datasets, which might be needed for very large table spaces. With relative page numbering in Db2 Universal table spaces, it is possible for tables to reach 4PB in size! Who wouldn’t call that big data?A Vital Component
The mainframe should be a vital part of creating your big data projects to deliver value to your organization. This does not mean that you shouldn’t learn the new technologies of big data, such as Hadoop, Spark, and NoSQL. It is just that Db2 and the mainframe should absolutely be a major component of your big data planning and infrastructure.
DAVOS, Switzerland, Jan. 28, 2018 /PRNewswire/ -- On Jan. 23, the 48th World Economic Forum (WEF) opened in Davos, Switzerland. More than 3,000 people from over 100 nations attended this forum, including 70 heads of states or governments, and 38 heads of important international organizations.
The Davos Forum, i.e. the World Economic Forum (WEF) since 1971, is a non-profit organization committed to improving the state of the world through public-private cooperation. It gathers opinion leaders from all walks of life to discuss a different theme every year, in order to promote action. The theme of this year is "Creating a Shared future in a Featured World." This year, blockchain and digital currency also became top topics for discussion. Several related panel discussions were put on the agenda.
Cipher Block(CBK) team was invited to attend this forum, to discuss chain block technology innovation and digital currency regulation with relevant experts and scholars, discuss Cipher Block(CBK) finance and network security, the establishment of a trusty safe financial data value network based on blockchain and the core value of Cipher Block (CBK) financial data value network with global elites. As a distributed digital asset ledger based on decentralized financial data and distributed digital wallets, Cipher Block (CBK) creates a future digital asset trading financial data value network through the establishment of a transparent safe governance mechanism, to solve creditability, performance, security and other major problems in the financial asset ecology, realize a safe, credible, open ecology, realize a transparent financial value network available to everyone by abandoning the pursuit of centralization and combining distributed trading platform with decentralized settlement.
Co-founder and CTO of Kyligence, co-creator and PMC member of Apache Kylin, architect and technical director of the creative team, focuses on big data analysis, parallel computing, data indexing, relational mathematics, approximate algorithm, compression algorithm and other cutting-edge technologies. Former eBay global analysis architecture department's senior big data architect, IBM InfoSphere BigInsights technical director, in charge of the Hadoop open source product architecture, winner of the "Outstanding Technical Contribution Award," Vice President of Morgan Stanley, in charge of the global regulatory report architecture.
Cipher Block(CBK) aims to establish a trusty safe financial data value network based on blockchain, so that digital assets in all areas can be shared and exchanged freely and efficiently with mutual trust, so that information islands no longer exist, making blockchain provide more value for business and our life.
Cipher Block(CBK) (Trust Chen) builds a new financial system based on blockchain technology, can support multi-industry blockchain application and establish blockchain ledgers jointly maintained by all parties. It's a financial data value public blockchain created by Cipher Block (CBK) team and the bottom chain of Cipher Block (CBK) decentralized exchange, not only supporting the financial data exchange's high-frequency data exchanges, but also supporting the subsequent corporate application development. Application development on Cipher Block (CBK) not only can use the technical features of blockchain, but also can get multidimensional data support from the financial industry, creating valuable applications beneficial to people's livelihood.
Cipher Block(CBK) (Trust Chen) System, based on the chain structure and relay technology, can satisfy the speed and capacity requirements of blockchain multi-application interconnection. Through the introduction of smart contracts based on blockchain technology, more elements can be introduced to accelerate the popularization of blockchain technology and realize an era of trust-free secure digital economy.
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SOURCE Cipher Block (CBK)
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