Mark Smith's Analyst Perspectives

Big Data Research Agenda and Trends are Bolder in 2015

Posted by Mark Smith on Feb 7, 2015 9:46:10 PM

Big data has become a big deal as the technology industry has invested tens of billions of dollars to create the next generation of databases and data processing. After the accompanying flood of new categories and marketing terminology from vendors, most in the IT community are now beginning to understand the potential of big data. Ventana Research thoroughly covered the evolving state of the big data and information optimization sector in 2014 and will continue this research in 2015 and beyond. As it progresses the importance of making big data systems interoperate with existing enterprise and information architecture along with digital transformation strategiesbecomes critical. Done properly companies can take advantage of big data innovations to optimize their established business processes and execute new business strategies. But just deploying big data and applying analytics to understand it is just the beginning. Innovative organizations must go beyond the usual exploratory and root-cause analyses through applied analytic discovery and other techniques. This of course requires them to develop competencies in information management for big data.

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Topics: Big Data, Business Analytics, Business Performance Management (BPM), Cloud Computing, Cloudera, Customer Performance Management (CPM), Datawatch, Dell Boomi, Financial Performance Management (FPM), Hortonworks, Human Capital, IBM, Informatica, Information Management, Information Management (IM), Information Optimization, MapR, Mulesoft, Operational Intelligence, Operational Performance Management (OPM), Oracle, Paxata, Predictive Analytics, Sales Performance Management (SPM), SAP, Savi, SnapLogic, Splunk, Sumo Logic, Supply Chain Performance Management (SCPM), Tamr, Trifacta, Strata+Hadoop, Business Intelligence

Cloudera Makes Hadoop a Big Player in Big Data

Posted by Mark Smith on Mar 24, 2014 9:09:43 PM

I had the pleasure of attending Cloudera’s recent analyst summit. Presenters reviewed the work the company has done since its founding six years ago and outlined its plans to use Hadoop to further empower big data technology to support what I call information optimization. Cloudera’s executive team has the co-founders of Hadoop who worked at Facebook, Oracle and Yahoo when they developed and used Hadoop. Last year they brought in CEO Tom Reilly, who led successful organizations at ArcSight, HP and IBM. Cloudera now has more than 500 employees, 800 partners and 40,000 users trained in its commercial version of Hadoop. The Hadoop technology has brought to the market an integration of computing, memory and disk storage; Cloudera has expanded the capabilities of this open source software for its customers through unique extension and commercialization of open source for enterprise use. The importance of big data is undisputed now: For example, our latest research in big data analytics finds it to be very important in 47 percent of organizations. However, we also find that only 14 percent are very satisfied with their use of big data, so there is plenty of room for improvement. How well Cloudera moves forward this year and next will determine its ability to compete in big data over the next five years.

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Topics: Big Data, Cloudera, Hive, Hortonworks, IBM, Impala, Information Applications (IA), Information Management (IM), IT Performance Management (ITPM), Location Intelligence, Operational Intelligence, Oracle, Teradata, Zoomdata, Strata+Hadoop, Business Intelligence

Tidemark Leads New Wave of Innovation in Planning and Performance Excellence

Posted by Mark Smith on Mar 29, 2013 11:36:35 AM

Organizations succeed through continuous planning to achieve high levels of performance. For most organizations planning is not an easy process to conduct. Planning software is typically designed for only a few people in the process, such as analysts, or organizations might use spreadsheets, which are not designed for business planning across an organization. Most technologies only allow you to examine the past and not plan for the future. For decades organizations have tried to focus planning on driving better results through higher participation, but they have usually failed, as technology has not advanced enough to support this business need.

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Topics: Big Data, Business Analytics, Business Collaboration, Business Performance Management (BPM), Business Planning, CFO, Cloud Computing, Cloudera, Customer Performance Management (CPM), finance, Financial Performance Management (FPM), Governance, Risk & Compliance (GRC), Information Applications (IA), Mobile Technology, Operational Performance Management (OPM), Operations, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Tidemark, Workday, Workforce Performance Management (WPM), Business Intelligence

EMC Looks to Be Pivotal for Big Data

Posted by Mark Smith on Mar 6, 2013 6:42:39 AM

The big-data landscape just got a little more interesting with the release of EMC’s Pivotal HD distribution of HadoopPivotal HD takes Apache Hadoop and extends it with a data loader and command center capabilities to configure, deploy, monitor and manage Hadoop. Pivotal HD, from EMC’s Pivotal Labs division, integrates with Greenplum Database, a massively parallel processing (MPP) database from EMC’s Greenplum division, and uses HDFS as the storage technology. The combination should help sites gain from big data a key part of its value in information optimization.

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Topics: Big Data, Business Analytics, Cirro, Cloud Computing, Cloudera, EMC, HAWQ, HDFS, Hive, Hortonworks, Information Applications (IA), Information Management (IM), Location Intelligence, MapR, Pivotal HD, Tableau Software, Strata+Hadoop, Business Intelligence

SnapLogic is Making Big Data Integration as a Service a Hadoop Reality

Posted by Mark Smith on Mar 1, 2013 10:11:12 AM

SnapLogic, a provider of data integration in the cloud, this week announced Big Data-as-a-Service to address businesses’ needs to integrate and process data across Hadoop big data environments. As our research agenda for 2013 outlines, dealing with data in the cloud is very important to organizations. At the same time, businesses need to be able to integrate their big data with all their technology assets, as I pointed out recently.

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Topics: Business Analytics, Cloud Computing, Cloudera, Customer Performance Management (CPM), Data Integration, Information Applications (IA), Information Management, Information Management (IM), Operational Performance Management (OPM), R, Sales Performance Management (SPM), SnapLogic, Big Data, Salesforce.com

Big Data Search is Getting Better with LucidWorks

Posted by Mark Smith on Feb 20, 2013 4:52:04 PM

LucidWorks addresses the growing volume of information now being stored in the enterprise and in big data with two products aimed at the enterprise with search technology. Though you may not be familiar with LucidWorks (previously known as Lucid Imagination), the company has for many years contributed to Apache Lucene, an open source search project, and commercialized and supported for it for business.

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Topics: Big Data, Business Analytics, Business Intelligence, Business Mobility, Cloud Computing, Cloudera, Customer Performance Management (CPM), Hortonworks, Information Management (IM), MapR, Sales Performance Management (SPM), Search, Workforce Performance Management (WPM), Strata+Hadoop

Enterprise Revolution of Predictive Analytics with Version 6

Posted by Mark Smith on Jun 15, 2012 11:40:58 AM

In our benchmark research in predictive analytics we’ve uncovered some intriguing tools for taking advantage of big data in the enterprise. Revolution Analytics, which we analyzed earlier this year, this month introduced its 6.0 release. Revolution extends the open source statistical programming language R with capabilities you would expect out of enterprise software. The company has grown substantially over the last several years and has an impressive list of more than a hundred customers in both the private and public sectors. Revolution partners with database and data integration providers such as Talend and Informatica and business intelligence providers who want to connect to more advanced level of analytics. Revolution can operate across a range of big data architectures, including Hadoop, working with Cloudera and IBM as well as data warehouse appliances such as IBM Netezza and Teradata. This is a smart move, since predictive analytics is the second most important unavailable capability cited by big data deployments in to our benchmark research.

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Topics: Big Data, Business Analytics, Business Performance Management (BPM), Cloud Computing, Data Mining, Linux, Operational Performance Management (OPM), Predictive, Revolution, Strata+Hadoop, Business Intelligence, Cloudera

IBM Makes Big Data Deal for Vivisimo and Supports Cloudera Hadoop

Posted by Mark Smith on Apr 26, 2012 12:29:13 PM

Through a series of acquisitions and organic development over the last five years, IBM has established itself as a leader in enterprise big data for business analytics. I recently wrote about IBM Smarter Analytics, which brings together the company’s portfolio of software, systems and services from analytics to big data. But supporting big data requires the ability to access many sources of information; our benchmark research on big data found that more than half of organizations require information from external sources, and that requires some software flexibility.

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Topics: Big Data, Business Analytics, Business Collaboration, Business Mobility, Business Performance Management (BPM), Business Technology, Cloud Computing, Cloudera, Customer Performance Management (CPM), Financial Performance Management (FPM), Governance, Risk & Compliance (GRC), IBM, Information Applications (IA), Information Management, Information Management (IM), Information Technology, IT Performance Management (ITPM), Location Intelligence, Operational Intelligence, Sales Performance Management (SPM), Social Media, Supply Chain Performance Management (SCPM), Sustainability, Vivisimo, Workforce Performance Management (WPM), Strata+Hadoop, Business Intelligence, CIO

Hadoop Gets Easier with Cloudera Version 3

Posted by Mark Smith on Nov 28, 2010 2:45:19 PM

Managing large volumes of enterprise data continues to challenge IT organizations as they deal with administration and storage of no longer just terabytes but now petabytes of data and costs increase accordingly. This massive size of data complicates the underlying issues of where and how to store it easily in low-cost hardware and manage the data efficiently. One attempt at a solution is Hadoop, an open source community-based project. It began as part of Yahoo and was led by Doug Cutting, who used the MapReduce concepts for large-scale distributed computing to create a distributed file system. Yahoo itself runs the largest deployment of Hadoop. Doug Cutting is not new to the open source world, being involved in the creation of Lucene, open source search technology among many other open source community projects.

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Topics: Cloudera, Data, Information Management (IM), Strata+Hadoop

Hadoop Gets Easier with Cloudera Version 3

Posted by Ventana Research on Jun 29, 2010 4:41:21 PM

Managing large volumes of enterprise data continues to challenge IT organizations as they deal with administration and storage of no longer just terabytes but now petabytes of data and costs increase accordingly. This massive size of data complicates the underlying issues of where and how to store it easily in low-cost hardware and manage the data efficiently. One attempt at a solution is Hadoop, an open source community-based project. It began as part of Yahoo and was led by Doug Cutting, who used the MapReduce concepts for large-scale distributed computing to create a distributed file system. Yahoo itself runs the largest deployment of Hadoop. Doug Cutting is not new to the open source world, being involved in the creation of Lucene, open source search technology among many other open source community projects.

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Topics: Cloudera, Data, Information Management (IM), Strata+Hadoop