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The Enterprise Cloud: Best Practices for Transforming Legacy IT

The Enterprise Cloud: Best Practices for Transforming Legacy IT

Despite the buzz surrounding the cloud computing, only a small percentage of organizations have actually deployed this new style of IT–so far. If you’re planning your long-term cloud strategy, this practical book provides insider knowledge and actionable real-world lessons regarding planning, design, operations, security, and application transformation. This book teaches business and technology managers how to transition their organization’s traditional IT to cloud computing. Rather than yet an

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Posted by admin June - 6 - 2015 ADD COMMENTS

Cloud computing and big data technology(Chinese Edition)

Cloud computing and big data technology(Chinese Edition)

Paperback. Pub Date :2014-04-01 Pages: 179 Language: Chinese Publisher: People Post Press book is a comprehensive introduction to the basics of cloud computing and big data. the main technology. computing technology and resource-based clustering technology. integrated cloud computing resources based on virtualization technology cut parting clouds. The book has 10 chapters. including cloud computing and big data overview. related technology. virtualization technology. cluster-based systems. MPI.

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Posted by BlairMABEL25 May - 25 - 2015 ADD COMMENTS

ADP Launches Its Own Big Data Analytics Cloud Platform
A consumer-grade user experience blended with analytics allows clients to obtain deep enterprise insights across the organization's HCM data. The embedded big data platform is within ADP's core solutions, including ADP Vantage HCM, Enterprise HR, ADP …
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Cloud Services Provider Day1 Solutions Acquires Big Data Consultancy
OpenOsmium provides leading edge advisory services and solutions for data analytics and enterprise search leveraging Big Data and Cloud technologies. The company's customers include Federal civilian agencies and the large systems integrators who …
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3 Big Data & Cloud take-aways from Huawei Network Congress 2015
It also contains the Agile Mobile Solution, which converges wi-fi and LTE networks, allowing enterprises to build a wireless network that supports data and audio communications. Wang Shihong, General Manager, Switch Domain, Switch and Enterprise …
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Posted by mod198 May - 21 - 2015 ADD COMMENTS


Arlington, VA (PRWEB) February 03, 2015

Mindseye, an experienced leader in eDiscovery technology and workflow solutions, announced today that Nextpoint has integrated the Mindseye Discovery platform to offer a best-in-class solution for clients with big data challenges.

The Mindseye platform is able to process and index multiple terabytes of data in 24 hours, and the integration of Nextpoint and Mindseye dramatically reduces load times and minimizes the potential for human error in uploading data. Users can get started more quickly and begin working on cases immediately. Once data is processed, users can collaborate efficiently based on detailed analysis and results in a centralized Web portal view – organizing, tracking, and moving data to Nextpoint’s cloud-based review platform. Nextpoint has developed a custom Mindseye export type to streamline the upload into Nextpoint databases and preserve critical family relationships and deep embedded links.

“eDiscovery today involves data from anywhere – email, video, social media, desktops, handhelds, and even paper. The majority of it is redundant, unnecessary, or just plain meaningless,” said Mindseye CEO Bob Krantz. “Keeping pace requires more than just speeding up existing processes. We need new technologies and approaches that identify, organize, and reduce information so that attorney review can focus on relevant data, not all of it. That’s where Mindseye comes in.”

“Our central mission has always been to simplify technology challenges for our clients,” says Rakesh Madhava, Nextpoint CEO. “The cloud is fantastic, but writing unnecessary data to the cloud doesn’t serve our clients’ best interest. The integration with Mindseye allows us to aggressively filter very large data sets locally, prior to import, into our cloud-based review software. Blending the best of both on-premise and cloud offerings delivers a sensible answer for clients looking to harness the benefits of the cloud for traditional ESI.”

About Mindseye

Mindseye is a leading provider of eDiscovery software solutions. The company’s flagship eDiscovery platform was launched in 2009 to help organizations manage risk, minimize legal exposure, and eliminate wasted time and money throughout the discovery process. Delivered through a fixed-cost licensing model or as a stand-alone eDiscovery appliance, the Mindseye platform provides early visibility into the facts of the case to guide effective decisions around resource estimates, strategy development and data prioritization. Mindseye is an active participant in the Electronic Discovery Reference Model (EDRM) Project, The Sedona Conference, and the Information Governance Initiative (IGI). For more information, visit http://www.mindseyesolutions.com or follow us on Twitter at twitter.com/Mindseye_TV.

About Nextpoint

Nextpoint is a powerfully simple and cost-effective evidence management solution that brings maximum efficiency to litigation workflows. It’s a comprehensive software-as-a-service that helps you manage electronic data from discovery to trial, across all your matters, with just one login. Founded in 2001, Nextpoint continues to innovate and expand services to law firms, corporations and government agencies of all sizes.

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Posted by jaymepobre748 April - 2 - 2015 ADD COMMENTS

Cloud computing I in1 hour: Big data computing, cloud computing, virtualization, crm, erp, hana, sap

Cloud computing I in1 hour: Big data computing, cloud computing, virtualization, crm, erp, hana, sap

Everything you wanted to know about Cloud computing I

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Posted by mod198 March - 29 - 2015 ADD COMMENTS

Data Challenges eBay auctions you should keep an eye on:

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Posted by admin March - 26 - 2015 ADD COMMENTS

Cloud computing II: Big data computing, cloud computing, virtualization, crm, erp, hana, sap

Cloud computing II: Big data computing, cloud computing, virtualization, crm, erp, hana, sap

Everything you wanted to know about Cloud computing II

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Technology: SAP, Microsoft, Apple, Oracle, Java, hotmail, cisco, ERP, Cloud computing, Virtualization, Project management, Big data, hadoop, Openerp, Mongodb, ITIL, Android, computers, networking, internet

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Posted by gildenshelton565 March - 14 - 2015 ADD COMMENTS


San Mateo, Calif. (PRWEB) December 02, 2014

SnapLogic, the Elastic Integration company, today announced the Winter 2015 release of its SnapLogic Elastic Integration Platform. The new release introduces enhanced security and lifecycle management capabilities for integration platform as a service (iPaaS) deployments, new and updated cloud and on-premises connectors, called Snaps, and a continued focus on productivity and self-service features for “citizen integrators.”

According to a recent Gartner report, “Gartner believes that you, as IT leaders, should understand, embrace and even promote citizen integrators. You should also put in place appropriate guardrails to limit risks and debts, but, as it happened with preceding user-driven phenomena — such as PCs, the Web, bring your own device (BYOD), cloud, smartphones and tablets — ignoring or fighting citizen integrators will prove to be futile. Opposing citizen integrators will also risk undermining your IT department’s relevance in the eyes of business leaders who do want the efficiency and agility they perceive as associated with citizen integrators.” (1)

“We’re seeing a re-imagining of integration in the enterprise as CIOs look for greater business alignment and agility as well as a faster payback on their cloud application and analytics investments,” said Gaurav Dhillon, CEO of SnapLogic. “Our Elastic Integration Platform is now processing over 10 billion JSON documents per month and with a focus on security, performance and developer productivity, the Winter 2015 release enables our customers to further expand their iPaaS deployments from real-time data synchronization and orchestration to big data integration initiatives.”

iPaaS for the Enterprise

SnapLogic goes beyond point-to-point line of business cloud integration tools with a fast, multi-point and modern platform that connects data, applications and APIs. In addition to performance gains throughout the Elastic Integration Platform, Winter 2015 enterprise iPaaS updates include:


Enhanced Encryption – For hybrid deployments, account credentials used to access endpoints from the SnapLogic Integration Cloud can now be encrypted using a private key/public key model. The data is encrypted with a public key and is decrypted with a private key on the SnapLogic Snaplex, which is the data integration processing grid running behind the firewall in this configuration.
Lifecycle Management – The introduction of Phases allows data flow developers to create and test pipelines before moving them into production. Administrators can restrict who can access each Phase and whether or not they have execution permissions. Integration projects can be easily promoted or rolled back as pipelines move through the development to test to production lifecycle.
Improved Developer Productivity – 20+ user experience features and enhancements to the multi-tenant, HTML5 Designer including the ability to easily turn pipelines into Snap Patterns, a right-click Snap context menu for easy delete, copy/paste, or edit, Ctrl/Command+click multi-select and the ability to print or download a document that describes a pipeline, listing the Snaps and pipeline properties.

Big Data Integration

With the Winter 2015 release, SnapReduce 2.0 and the Hadooplex are now available as add-on options for the SnapLogic Elastic Integration Platform, allowing organizations to double data scientist productivity. When enabled, a SnapReduce checkbox is added to the Edit Pipeline dialog and the pipeline will automatically generate MapReduce jobs, which can scale across multiple nodes in a Hadoop cluster. When checked, only a subset of Snaps are available to the pipeline developer, including Data Format Snaps, HDFS Read and Write Snaps, and Snaps that support parallelization of big data integration processing (aggregate filter, join, mapper, sort, union, unique). The Winter 2015 release adds support for JSON Parser and Formatter Snaps and run-time statistics are now available directly within the design environment.

New and Updated Snaps

With each release, SnapLogic expands or updates our library of more than 270 Snaps. With the Winter 2015 release, new Snaps are available for Salesforce Analytics Cloud, Sumo Logic and SAP HANA. Updated Snaps include: Google, HDFS, NetSuite OpenAir and SAP BAPI.

Availability

All SnapLogic Elastic Integration Platform customers have been updated to the Winter 2015 release. To learn more about what’s new, visit: http://www.snaplogic.com/winter2015.

About SnapLogic

SnapLogic is the leader in Elastic Integration, helping companies connect enterprise applications and data in the cloud and on-premises for improved business agility and decision making. With the award-winning SnapLogic Elastic Integration Platform, organizations can more quickly and affordably accelerate the “cloudification” of enterprise IT with a fast, multi-point and modern integration platform as a service (iPaaS). Funded by leading venture investors, including Ignition Partners and Andreessen Horowitz, and co-founded by Gaurav Dhillon, co-founder and former CEO of Informatica, SnapLogic is run by prominent companies in the Global 2000. For more information, call +1.888.494.1570 or visit http://www.SnapLogic.com.

(1) Gartner: “Embrace the Citizen Integrator Approach to Improve Business Users’ Productivity and Agility” by Massimo Pezzini, October 29, 2014







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Posted by admin March - 8 - 2015 ADD COMMENTS

Cloud computing tutorial made easy: Big data computing, cloud computing, virtualization, crm, erp, hana, sap

Cloud computing  tutorial made easy: Big data computing, cloud computing, virtualization, crm, erp, hana, sap

Everything you wanted to know about Cloud computing

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