Organizations are increasingly utilizing cloud object storage as the foundation for analytic initiatives. There are multiple advantages to this approach, not least of which is enabling organizations to keep higher volumes of data relatively inexpensively, increasing the amount of data queried in analytics initiatives. I assert that by 2024, 6 in ten organizations will use cloud-based technology as the primary analytics data platform, making it easier to adopt and scale operations as necessary.
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Topics: Teradata, Data Governance, Data Management, Data, data operations, operational data platforms, Analytic Data Platforms, Object storage, Vantage platform
This year, Teradata rebranded the Teradata users conference from "Partners" to "Analytics Universe", and there is a reason for it. For decades, Teradata has represented the high end of the analytic database, but new innovations and technologies are adding flexibility to Teradata's licensing as they compete. For the full breakdown of Teradata's Analytics Universe 2018, and my analysis of all the largest announcements, watch my hot take video.
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Topics: Big Data, Data Warehousing, Teradata, Analytics, Data Governance, Data Management, Data Preparation, Information Management, Data, Digital Technology
At its annual industry analyst summit last month and in a more recent announcement of enterprise support for parallelizing the R language on its Aster Discovery Platform, Teradata showed that it is adapting to changes in database and analytics technologies. The presentations at the conference revealed a unified approach to data architectures and value propositions in a variety of uses including the Internet of Things, digital marketing and ETL offloading. In particular, the company provided updates on the state of its business as well as how the latest version of its database platform, Teradata 15.0, is addressing customers’ needs for big data. My colleague Mark Smith covered these announcements in depth. The introduction of scalable R support was discussed at the conference but not announced publicly until late last month.
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Topics: Big Data, Teradata, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Information Management, Internet of Things, Operational Intelligence, Teradata Aster
Teradata continues to expand its information management and analytics technology for big data to meet growing demand. My analysis last year discussed Teradata’s approach to big data in the context of its distributed computing and data architecture. I recently got an update on the company’s strategy and products at the annual Teradata analyst summit. Our big data analytics research finds that a broad approach to big data is wise: Three-quarters of organizations want analytics to access data from all sources and not just one specific to big data. This inclusive approach is what Teradata as designed its architectural and technological approach in managing the access, storage and use of data and analytics.
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Topics: Big Data, Sales Performance, Supply Chain Performance, Teradata, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, NoSQL, Workforce Performance, JSON, UDA
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, Teradata, Zoomdata, IT Performance, Business Intelligence, Cloudera, Hortonworks, IBM, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Oracle, Hive, Impala, Strata+Hadoop
Teradata Establishes Trust in Big Data Technology
Posted by
Ventana Research on Nov 26, 2013 8:22:23 AM
At its Teradata Partners conference in Dallas, a broader vision for big data and analytics was articulated clearly. Their pitch centered on three areas – data warehousing, big data analytics and integrated marketing – that to some degree reflect Teradata’s core market and acquisitions in the last few years of companies like Aprimo who provides integrated marketing technology and Aster in big data analytics. The keynote showcased the company’s leadership position in the increasingly complex world of open source database software, cloud computing and business analytics.
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Topics: Big Data, Teradata, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications
A Year Makes a Big Difference for Big Data Analytics
Posted by
Ventana Research on Jun 23, 2013 12:10:00 AM
Users of big data analytics are finally going public. At the Hadoop Summit last June, many vendors were still speaking of a large retailer or a big bank as users but could not publically disclose their partnerships. Companies experimenting with big data analytics felt that their proof of concept was so innovative that once it moved into production, it would yield a competitive advantage to the early mover. Now many companies are speaking openly about what they have been up to in their business laboratories. I look forward to attending the 2013 Hadoop Summit in San Jose to see how much things have changed in just a single year for Hadoop centered big data analytics.
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Topics: Big Data, Datameer, Sales Performance, SAS, Supply Chain Performance, Teradata, alteryx, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Information Applications, Location Intelligence, Operational Intelligence, Workforce Performance, Strata+Hadoop
At this year’s annual SAP user conference, SAPPHIRE, the technology giant showed advances in its cloud and in-memory computing efforts. It has completed the migration of its conventional application suite and portfolio of tools to operate on SAP HANA, its in-memory computing platform, and made improvements in its cloud computing environment, SAP HANA Enterprise Cloud. The last time I analyzed SAP HANA was when it won our firm’s 2012 Overall IT Technology Innovation Award. Now HANA has been transitioned from just a database technology into a broad platform. SAP wisely consolidated its efforts previously known as SAP NetWeaver into SAP HANA. This resolves some confusion regarding HANA and NetWeaver in the cloud, which I assessed. The recently announced SAP HANA Platform now provides the enterprise class of HANA implementation in the cloud. It comes with a trial edition of the data and visual discovery technology now called SAP Lumira, whose price has been reduced to encourage adoption (and which I discuss more below). The use of in-memory databases for big data is accelerating: According to our technology innovation research, 22 percent of organizations are planning to use this technology over the next two years, and through 2015 it will have a higher growth rate than other approaches.
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Topics: Big Data, Predictive Analytics, SAP, Social Media, Supply Chain Performance, Teradata, Mobile Technology, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), HP, Information Applications, Information Management, Workforce Performance, CFO, CMO, SAP EPM, SAP HANA, SAP Lumira, SAPPHIRE, Tagetik
Teradata Brings In-Memory Computing and Data Discovery to Big Data
Posted by
Mark Smith on May 8, 2013 11:20:05 PM
Teradata recently gave me a technology update and a peek into the future of its portfolio for big data, information management and business analytics at its annual technology influencer summit. The company continues to innovate and build upon its Teradata 14 releases and its new processing technology. Since my last analysis of Teradata’s big data strategy, it has embraced technologies like Hadoop with its Teradata Aster Appliance, which won our 2012 Technology Innovation Award in Big Data. Teradata is steadily extending beyond providing just big data technology to offer a range of analytic options and appliances through advances in Teradata Aster and its overall data and analytic architectures. One example is its data warehouse appliance business, which according to our benchmark research is one of the key technological approaches to big data; as well Teradata has advanced support with its own technology offering for in-memory databases, specialized databases and Hadoop in one integrated architecture. It is taking an enterprise management approach to these technologies through Teradata Viewpoint, which helps monitor and manage systems and support a more distributed computing architecture.
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Topics: Big Data, MicroStrategy, SAS, Tableau, Teradata, Customer Excellence, Operational Performance, Analytics, Business Analytics, Business Intelligence, CIO, Cloud Computing, Customer & Contact Center, In-Memory Computing, Information Applications, Information Management, Location Intelligence, Operational Intelligence, CMO, Discovery, Intelligent Memory, Teradata Aster, Strata+Hadoop
Teradata Addresses the Foundation of Big Data Analytics
Posted by
Ventana Research on May 5, 2013 1:07:56 AM
Our benchmark research found in business technology innovation that analytics is the most important new technology for improving their organization’s performance; they ranked big data only fifth out of six choices. This and other findings indicate that the best way for big data to contribute value to today’s organizations is to be paired with analytics. Recently, I wrote about what I call the four pillars of big data analytics on which the technology must be built. These areas are the foundation of big data and information optimization, predictive analytics, right-time analytics and the discovery and visualization of analytics. These components gave me a framework for looking at Teradata’s approach to big data analytics during the company’s analyst conference last week in La Jolla, Calif.
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Topics: Big Data, MicroStrategy, Tableau, Teradata, alteryx, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Governance, Risk & Compliance (GRC), IBM, Information Applications, Information Management, Operational Intelligence, Oracle
Hortonworks Takes Hadoop to the Windows of Microsoft
Posted by
Mark Smith on Mar 1, 2013 10:27:41 AM
Business is starting to realize that taking advantage of big data is not just technically feasible but affordable by organizations of all sizes. However, as outlined in our agenda on big data and information optimization, the technology must be engineered to the information needs of business. HortonWorks has been steadily advancing its big data technology called Hadoop and contributing its developments back to the Apache Software Foundation for a range of projects. The company performs enterprise-level testing to ensure Hadoop not just operates but scales across operating systems, cloud computing, virtual machines and appliances. Over the last year Hortonworks has released a number of certifications and benchmarks for an enterprise-ready version of Hadoop for which it provides support and services. These are important steps forward in meeting the needs of IT management, which is the audience evaluating big data technologies in 66 percent of organizations according to our big data research.
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Topics: Big Data, Microsoft, Talend, Teradata, Simba, Business Analytics, Cloud Computing, Hortonworks, Informatica, Information Applications, Information Management, HDP, Hive, Tez, Strata+Hadoop
Teradata Aster Standardizes Access to Hadoop with SQL-H
Posted by
Mark Smith on Jun 13, 2012 11:21:46 PM
Using Hadoop just got easier, thanks to Teradata’s introduction of SQL-H, a new query interface to analyze data from Hadoop. Most Hadoop access methods require preprocessing and staging of data from the Hadoop Distributed File System (HDFS) using technologies such as MapReduce. These approaches require new skills and technologies, introducing more time and costs for users, which offset the benefits of Hadoop, which according to our big data benchmark research include increasing the speed of analysis. Teradata has announced support for SQL-H not only for its own Aster Database 5.0, which it expects to release in the third quarter, but also supporting the commercial version of Hadoop through Hortonworks.
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Topics: Big Data, Sales Performance, Teradata, SQL-H, Business Analytics, CIO, Customer & Contact Center, Hortonworks, Information Applications, Information Management, Data, Strata+Hadoop
Teradata: All in the Family of Appliances and Big Data
Posted by
Ventana Research on Oct 15, 2011 4:33:55 AM
Teradata recently held its Partners User Group meeting (Twitter hashtag #TDPUG11) in San Diego. Analysts were briefed previously on some of the announcements, which I covered in an earlier post.
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Topics: Big Data, Data Warehousing, Predictive Analytics, Sales Performance, Supply Chain Performance, Teradata, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance, Digital Technology
There has been a spate of acquisitions in the data warehousing and business analytics market in recent months. In May 2010 SAP announced an agreement to acquire Sybase, primarily for its mobility technology and had already been advancing its efforts with SAP HANA and BI. In July 2010 EMC agreed to acquire data warehouse appliance vendor Greenplum. In September 2010 IBM countered by acquiring Netezza, a competitor of Greenplum. In February 2011 HP announced after giving up on its original focus with HP Neoview and now has acquired analytics vendor Vertica that had been advancing its efforts efficiently. Even Microsoft shipped in 2010 its new release of SQL Server database and appliance efforts. Now, less than one month later, Teradata has announced its intent to acquire Aster Data for analytics and data management. Teradata bought an 11% stake in Aster Data in September, so its purchase of the rest of the company shouldn’t come as a complete surprise. My colleague had raised the question if Aster Data could be the new Teradata but now is part of them.
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Topics: Data Warehousing, Microsoft, RDBMS, SAS, Teradata, IT Performance, Business Intelligence, Cloud Computing, Data Management, HP, IBM, Information Management, Oracle
The battle for business analytics rages on. IBM, Oracle, SAP and SAS as billion dollar and larger companies each combine analytic computation and processing in the underlying data but Teradata remains a key player. For its part Teradata used its annual Partners conference to tout the next generation of analytics in its product portfolio and brought along customers to testify to their success in using its technology.
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Topics: Enterprise Data Strategy, Teradata, IT Performance, Business Analytics, Business Intelligence, CIO, Information Management, Information Technology
The battle for business analytics rages on. IBM, Oracle, SAP and SAS as billion dollar and larger companies each combine analytic computation and processing in the underlying data but Teradata remains a key player. For its part Teradata used its annual Partners conference to tout the next generation of analytics in its product portfolio and brought along customers to testify to their success in using its technology.
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Topics: Enterprise Data Strategy, Teradata, IT Performance, Business Analytics, Business Intelligence, CIO, Information Management, Information Technology
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