Attunity: Big data management software

CTOvision

Attunity is a leading provider of big data management software solutions that enable access, management, sharing and distribution of data, including Big Data, across heterogeneous enterprise platforms, organizations, and the cloud. Research Team.

Where DCIM Software and Big Data Meet

Data Center Knowledge

Big Data DCIM News FeaturedIntegration of ITSM and DCIM is just scratching the surface of true analytics-driven IT operations of the future Read More.

GE’s New Big Data Software Accelerates Power Outage Recovery

Data Center Knowledge

Analytics software integrates with existing outage management systems, collects field data from crews’ mobile devices Read More. Big Data Enterprise Featured

IDC Forecasting Continued Growth in Big Data

Eric D. Brown

Earlier this week, I wrote “ Where are we in the big data lifecycle? ” where I said that we are currently somewhere between the ‘technology trigger’ and ‘peak of inflated expectations’ on Gartner’s Hype Cycle for big data. Software: 26.2%

Big Data Project Management: What’s In & What’s Out?

CTOvision

Here’s something to think about when you're planning a big data project: are you planning a project or a program ? Relatively self-contained big data projects may be tied to an ongoing process or program that is already developing or delivering a product or service.

A Timeline of Big Data Analytics

CTOvision

The world seems to run on big data nowadays. In fact, it’s sometimes difficult to remember a time when businesses weren’t intensely focused on big data analytics. It’s equally difficult to forget that big data is still relatively new to the mainstream. The amount of data being generated in the world today is immense, and it’s only getting bigger. Consider the following to be a brief timeline of the big data analytics phenomenon.

Ascent Index: Big Data

The Investing Edge

Big data is a hot topic, especially here in Massachusetts – arguably the Big Data capital of the world with 12,000 people employed in big data jobs in more than 100 companies across the state, an unmatched talent pool from top universities, and home to EMC Corp.

Big Data - Myths

IT Toolbox

Many companies have implemented big data applications. These applications consist of a very large data store, hybrid hardware and software to store and access the data, and a sophisticated software interface that accepts the queries of business analysts, accesses the data store, and provides answers that can be used to understand customer needs, simplify business transactions, and increase profitability.

Big Data - Disaster Recovery!

IT Toolbox

Big data applications tend to have massive data storage capacity coupled with a hybrid hardware appliance and analytical software package used for data analytics. These applications are not typically used to process operational data; rather, users query the data to analyze past product sales, forecast trends, and determine future customer buying patterns. Big data applications are not usually considered

Intel Launches Hadoop-Powered Big Data Platform

Data Center Knowledge

Expanding its investment in a growing a big data portfolio Intel (INTC) launched the Intel Data Platform, a software suite based on open source technologies designed to make it easier and faster for companies to move from big data to big discoveries.

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Big Data News: ScaleOut Software Releases hServer V2

Data Center Knowledge

ScaleOut Software releases a new edition of its hServer running Hadoop MapReduce, Concurrent partners for big data in the enterprise, and MapR''s Hadoop platform helps Xactly enhance its offering. Big Data concurrent hadoop mapR scaleout software

Big Data Quality Assurance

IT Toolbox

With promises of incredibly fast queries, many IT shops implemented one or more big data applications in combination with high-performance hardware and software suites. Results have been generally good: many installations report incredible decreases in query elapsed times, sometimes by factors of 100 or more. Such improvements translated to faster results from analytical queries as well as a better

Oracle Updates Big Data Appliance

Data Center Knowledge

Oracle updates its Big Data Appliance for big data in the enterprise, YarcData launches a new Urika analytics software version, MapR turbocharges HBase applications, and Hortonworks and WANdisco make Hadoop non-stop. Big Data Oracle cray hadoop hortonworks mapR WANdisco

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New Approaches for New Big Data Insights

Cloud Musings

Organizations of every size and industry are generating valuable data with each interaction, and that data can be captured, analyzed, and turned into business insight. Many companies are taking a hybrid cloud approach to data analysis.

Big Data IT Budget Planning

IT Toolbox

Big data software, hardware, application suites, business analytics solutions. Competitors are gathering data to determine customer needs, define new product categories, and increase profits. Common applications include storage and analysis of customer sales data, web interactions suddenly, it seems, IT enterprises are deluged with vendor offerings that solve problems it didn’t know it had.

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Big Data Software Specialist Talend Raises $40 Million

Data Center Knowledge

Talend receives $40 million to accelerate its big data efforts, and Cloudera certifies WANdisco''s non-stop Hadoop technology. Big Data cloudera talend WANdisco

Why Focus on Big Data Software Development

Galido

Information Technology Blog - - Why Focus on Big Data Software Development - Information Technology Blog. Thus, software developers companies have integrated various systems on new process development as a result of technology which is continuously evolving.

Big Data - Ensuring Data Availability

IT Toolbox

Many enterprises which have installed big data applications have done so using vendor-supplied hybrid hardware / software solutions. These solutions, sometimes called appliances, store huge amounts of data in a massively-parallel storage array and use sophisticated analytical software to return solutions to SQL queries.

Big Data: The Hadoop Business Case

CTOvision

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? To gain value from this data, you must choose an alternative way to process it.”

Big Data = Dropping the Big One?

CTOvision

Eminent network scientist Laszlo Barabasi recently penned an op-ed calling on fellow scientists to spearhead the ethical use of big data. Frustrated Harvard Business Review blogger Andrew McAfee recently called on pundits to “stop sounding ignorant about big data.”

The cloud and big data are no threat to data warehouses

David Linthicum

I''m often told that the use of big data systems will kill the now very old world of data warehousing. It''s hugely expensive to build data warehouses. Consider the cost of the technology, including very pricey hardware and software. Big Data Cloud Computing Data Center Data Management Big Data DBMS Cloud Computing The minimum buy-in is well over $1 million -- and I''m being kind with that number. read more.

Big Data - New Staffing Requirements

IT Toolbox

Big data applications are commonplace now. Most large companies have one or more of these applications, which provide fast access to large stores of customer and sales data. These include big data hardware and software support, business analysts who use analyticsAs the IT organization grows to install, support and maintain these applications, new job categories and new tasks are added to the mix.

Five things the CEO wants to know about Big Data

Eric D. Brown

I spend a lot of time talking to companies about big data and data science. Many conversations are with people at the CxO level (CEO’s, COO’s, CFO’s, etc etc) and usually revolve around basic discussions of big data and data analytics.

How Big Data is Becoming Smaller Than Small Data

CTOvision

In E-Commerce, Small Data = Big Data and Vice Versa. Big Data, small data and everyday data: Is there a meaningful difference between these three information carriers nowadays? Understanding Big Data. Big Data, Small Data and E-Commerce.

Software AG Ranked as a Leader in the Big Data Streaming Analytics Platforms

CTOvision

Jul 18, 2014 (BUSINESS WIRE) – Software AG was among the select companies that Forrester Research, Inc., a leading independent research firm, invited to participate in its report, “The Forrester Wave™: Big Data Streaming Analytics Platforms, Q3 2014 1 ”. Big Data

Beyond microservices; Software architecture driven by machine learning

Social, Agile and Transformation

It's not a question of if, it's a question of when and how AI and machine learning will change our programming and software development paradigms. Today's coding models are based on data storage, business logic, services, UX, and presentation. AI big data data management innovation IOT software developmentA full stack developer elects to build a three-tiered web architecture using an MVC framework. An IoT application calls for an event-driven.

Platfora Raises $38 Million to Grow Big Data Analytics

Data Center Knowledge

Venture capital continues to pour into big data companies, with big data analytics software company Platfora announcing a $38 million investment round. Big Data platfora

Big Data News: Hortonworks, MapR, SAS

Data Center Knowledge

of its Hortonworks Data Platform, MapR expands big data search with Elasticsearch, and SAS updates its Master Data Management and SAS Federation Server software. Big Data hadoop hortonworks mapR sas Hortonworks innovates the latest open enterprise Hadoop with release 2.1 Read More.

How to best Leverage the Services of Hadoop Big Data

Datacponomy

Image: SAP Cloud Platform Hadoop is a Java-based, open source framework that supports companies in the storage and processing of massive data sets. The post How to best Leverage the Services of Hadoop Big Data appeared first on Dataconomy.

Exploding the Myths of Big Data -- #2

IT Toolbox

Myth #2: The Only New Budget Items are Big Data Hardware and Software. Despite some vendor’s claims, any IT enterprise implementing a big data application will incur significant costs beyond the investment in big data hardware and software. Your big data applicationFalse.

Why Big Data Project Management Can Be So Difficult

CTOvision

Big data is extremely beneficial to businesses, and gathering it is now easier than ever with today's technology. When it comes to the management of big data, therein lies the challenge. There is software now which can assist in tracking a company's customers and potential customers. This data can help businesses design advertising campaigns, promote products to specific customers, discern personal habits and the best times to offer deals, and much more.

Metrics and Big Data: How to measure the value of big data for your business

CTOvision

By Bob Gourley With the herald of innovative, personal, smart and targeted marketing, ‘big data’ offers enticing and varied advantages for businesses. But how do you know how useful and profitable data will be for your business uniquely? Making big data your ally and asset.

How Big Data Changes Database Administration

IT Toolbox

Technical support teams usually support familiar hardware and software configurations. Specialization in particular combinations of operating systems and database management software is common, and this allows some team members to gain in-depth experience that is extremely valuable in an enterprise IT setting. How has big data changed this paradigm?

Another Look at Tuning Big Data Queries -- Big Data Users

IT Toolbox

Who are your users, and how do they query your data? The typical user is a business analyst and subject matter expert who understands your business data and has the technical knowledge to access the big data application intelligently and efficiently. Another option is to install analytical software that presents a pictorial view of business

Thriving in a Cloud, Big Data, Mobility and Security World

Cloud Musings

The Internet of Things - The combination of data streams and services created by digitizing everything creates four basic usage models — Manage, Monetize, Operate and Extend. Software-defined networking, storage, data centers and security are maturing.