Technologies we use
Selecting and assembling the technologies that best suit each customers' business case
Following a rigorous assessment process, Think Big selects and assembles the technologies that best suit each of our individual customers’ business case. We then apply new techniques and big analytics models to harness value from big data. That, in turn, enables our customers to become more competitive in the market and accelerates returns.
Think Big choose the right tools and technologies based on what will work best for your organization. We work with a wide variety of big data tools and technologies, including the Apache Hadoop ecosystem, Spark, Teradata Aster Analytics and Presto – whom our parent company, Teradata, currently contribute open source code to.
Most Big Data projects use variations of a Big Data reference architecture. Understanding the high level view of this reference architecture provides a good background for understanding Big Data and how it complements existing analytics, BI, databases and systems. This architecture is not a fixed, one-size-fits-all approach.
To learn more about big data tools and technologies, browse our training courses.