Vendors » Teradata
The free analytics question comes up over and over again, especially as it pertains to open source analytic offerings. I don’t think a day goes by when someone at a company doesn’t ask, “Why should I pay for analytics when I can use (fill in the blank) open source statistics/analytics?” You will find many lengthy discussions all over the Web on just this topic. Often the discussion is much more impassioned than it needs to be. I will address the Read more…
Hadoop has matured at a rapid rate since it broke into the mainstream several years ago. With billions in venture funding, an eager community of developers, and a thriving ISV community, the open source big data platform seems poised to take a big step into the wider enterprise. But according to Cloudera’s chief strategy officer Mike Olson, Hadoop’s next big move may be to just disappear. Olson predicted Hadoop’s disappearance during a keynote address at last week’s Strata + Hadoop Read more…
Teradata made a major advance into the Hadoop ecosystem today with a series of announcements, including a new Hadoop cloud service, a data lineage tracking tool for HDFS called Loom, and a new reseller agreement with Cloudera, to go along with its existing one with Hortonworks. The mainstream thinking in the Hadoop environment seems to have the big yellow pachyderm eating Teradata‘s lunch. It’s inevitable, the reasoning goes, that customers will move their big data warehousing workloads from expensive Teradata Read more…
At this year’s UseR! conference in Los Angeles, John Chambers, the father of the S language and thus grandfather of the R language, noted that R was designed as an interface to the best algorithms. And indeed the R language excels as an interface to algorithms, which is why so many professional and budding data scientists choose R as the interface to drive their analytic workflows. On the other hand, R was not designed as an interface to massive-scale data: Read more…
Over the past three years, businesses have scrambled to hire data scientists who can spin big data into gold. But it turns out the person best equipped to get data analytics applications into production may be a good data engineer. The surge in demand for data scientists over the past few years has been well documented. McKinsey set the ball rolling with a report in 2011 that found the US faced a massive shortage of data scientists and others with Read more…
News In Brief
Not long ago, the rules for what constituted a data warehouse were fairly well defined. The schema was fixed, you could say, and was based primarily on relational database technology designed to process structured data. My, how times have changed. Last week, Gartner for the first time accepted non-relational technologies–including those based on Hadoop and NoSQL–in its annual Magic Quadrant for Data Warehouses report.
Among Hadoop distributors, MapR Technologies’ product offering is the strongest, Amazon Web Services has the biggest Hadoop market presence, and IBM and Pivotal Software have the best market strategy, according to a new Forrester Wave report released yesterday that slices and dices the Hadoop market and analyzes the various Hadoop product offerings and business strategies.
According to the big data number crunchers at Wikibon, spending on big data hardware, software, and services added up to $18.6 billion in 2013. That’s about $500 million, or roughly 3 percent, bigger than it projected the market to be a year ago when it did its last forecast. On a year-over-year basis, actual big data spending grew 58 percent.
According to Teradata’s State of Business Intelligence Survey, the top three challenges in building the data science workforce include access to large data sets, finding students with the pre-requisite skills, and qualified or available faculty.
Week of April 27: We touch on news about tackling rugby injuries with analytics; investors taking a shine to Lustre; Sears Buys into Hadoop; Teradata sports new “sassy” appliance; supporting data-intensive science; analytics superheroes unmasked; and continued developments for in-memory analytics.
This Just In
Teradata, the leading analytic data platforms, applications and services company announced today that Siemens AG will be able to enhance its manufacturing processes and product quality by deploying Teradata technology. For the first time, Siemens will be able to combine and analyze data from sensors, the manufacturing process, and machine data, along with data from various source systems.
A seismic shift is moving the industry from a single data warehouse to a logical data warehouse with multiple systems, analytical techniques, programming languages, and diverse data types. Teradata, the analytic data platforms, marketing applications and services company, today introduced the advanced Teradata Database 15, which delivers on the promise of a logical data warehouse.
Organizations are struggling to capture and interpret data that is spread across various analytic systems, each system handling different types of processing and data. Teradata, the analytic data platforms, marketing applications and services company, today delivered the most complete big data solution in the industry with Teradata QueryGrid, the only software that optimizes analytics across the enterprise and beyond.
Teradata Corp., the analytic data platforms, applications and services company, announced today that Forrester Research, Inc. has positioned Teradata as a leader in its February 2014report, “The Forrester Wave: Big Data Hadoop Solutions, Q1 2014″ by Mike Gualtieri and Noel Yuhanna. The report appears as big data has become an important business technology investment.
Jaspersoft, the Intelligence Inside applications and business processes, today announced its business intelligence (BI) offering is now available for Teradata, the leading analytic data platforms, applications and services company. Teradata customers are now able to realize the dynamic reporting capabilities of Jaspersoft’s BI suite and access a web-based, self-service BI tool that provides both real-time and historical reporting.