Buyer’s Guide to Open-source Big Data
This buyer’s guide discusses how to analyze and evaluate the big data technology landscape so that you can make the right decisions to meet your business objectives. Although this guide will work through examples of how to evaluate specific technologies, the core purpose is to provide a framework to discern the best choices for your … Continued
Navigating the Big Data Journey
While Hadoop is a maturing technology, there are still many companies experimenting with big data initiatives, and other companies that don’t exactly know where or how to begin. As technology continuously changes, charting a successful course for big data investments is no easy task – even for organizations that have moved beyond the pilot phase.
Definitive Guide to the Data Lake
It would be an understatement to say that the hype surrounding the data lake is causing confusion in the industry. As the data lake term begins to come off its hype cycle and face the pressures of pragmatic IT and business stakeholders, the demand for clear data lake definitions, use cases and best practices continue to … Continued
Think Big Managed Services
Think Big provides manages services for Hadoop in the areas of platform and application support We use well-defined processes, robust tools and most importantly, experienced big data experts to cost-effectively manage, monitor and maintain the Hadoop platform.
Think Big Data Lake Services
Think Big has had years of experience delivering business solutions and navigating how best to use cutting-edge technologies in the Hadoop ecosystem. Through our service engagements, we can help you add just the right amount of governance to help keep your data trusted, secure and ready for analytics.
Driving Open-source Adoption Within the Enterprise
Ron Bodkin explains how Teradata drives open-source adoption inside enterprises through a range of initiatives, from direct contributions, to open-source projects designed to address key enterprise requirements to orchestration software that integrates Hadoop with other components of the analytical ecosystem, providing enterprises with the technical expertise required to fully leverage the benefits of open-source in … Continued
Strata + Hadoop 2015 – What We’ve Learned in 5 Years
How Think Big is helping a global organization utilize multi-petabyte Hadoop clusters to drive tangible business results. Highlights in this presentation will include how this company is using best practices for data ingestion across multiple manufacturing facilities in Asia and the US, utilizing robust patterns for handling data quality, metadata management, pipelining, buffering, and security … Continued
Ron Bodkin at BIGDATANYC 2015 – The Cube Interview
“People reach for real-time and streaming engines where it’s not really important for the use case”, according to Ron Bodkin, founder and president of Think Big, a Teradata company. Referring to the current trend towards real-time, Ron called it “hype technology” and says that many times, companies think that they need true, real-time analytics when … Continued
HGST Data Lake and Operational Analytics Case Study
Western Digital’s Corporation’s HGST brand helps organizations harness the power of data to unlock greater business potential through a broad portfolio of systems and storage solutions. HGST’s smarter storage solutions are everywhere, touching lives and enabling possibilities for the cloud, enterprise and sophisticated infrastructures, powering the markets and companies that shape our lives. HGST is … Continued
Asset Management Firm Gains Data-Driven advantage with Big Data Solutions
Asset management firms face a mountain of regulatory and competitive pressures, from evolving technoogies and increased regulations to shifting demographics. One major asset management firm with trillions of dollars of managed assets has flourished for several decades by adapting to shifting market pressures and making financial expertise and exceptional customer service easily accessible for a … Continued
Digital Media Company Uses Big Data to Drive More Revenue from Real-time Ad Auctions
Advertisers need access to audiences and strategic media curation. Publishers need demand for inventory and support of their monetization strategy. Both face a common challenge to streamline the transaction process, while effectively and efficiently managing budgets to free up time to think, create and innovate.