Vendors » Teradata
MongoDB and Teradata today announced they’re working to integrate their products to boost the analytic and transactional workloads of their joint customers. The goal of the partnership is to find a better way to feed operational JSON data from Mongo’s NoSQL database into Teradata’s warehouse, enabling faster turnaround of analytic questions. The new capability leverages Teradata’s newly added JSON data type support and its QueryGrid functionality, which Teradata added in April with version 15 of its eponymous database. The QueryGrid Read more…
Revolution Analytics today debuted AdviseR, a new services offering for data scientists who need a little help coding in R. For $795 per person per year, R coders can get access to Revolution’s R experts and knowledgebase, providing a guiding hand for everything from installing R to optimizing R programs. R has blossomed into the language for doing hardcore data science. When it comes to writing programs to perform advanced analytics, linear and non-linear modeling, forecasting, classification, clustering, statistical functions, Read more…
It’s no stretch to say that the folks at Teradata aren’t the world’s biggest fans of Hadoop. If nothing else, the hoopla surrounding Hadoop has caused some Teradata customers to question future investments in the company’s traditional data warehouse technology. But with today’s launch of the next generation of Teradata’s flagship platform, the company has made its software a little more Hadoop-ish, particularly when it comes to taking the compute to the data and supporting semi-structured file formats.
The advent of big data technologies is impacting companies in all industries. But in the $743 billion global airline industry, big data analytics is increasingly the difference between successful airlines and those who struggle to prosper in an increasingly competitive field.
While still in its infancy, the big data technology trend has made a lot of substantial progress since it gained traction at the beginning of this decade. The year 2013 was a big year with advances being made in virtually every quarter of the space. In this feature, we take a look at some of the significant trends that have crossed our desks in the past year — wrapped up and presented to you with a pretty bow. Out with the old, in with the new — it’s the Datanami 2013 Year in Review!
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.