With all the data and all the opportunity, it’s really necessary to have someone focus on getting most out of that data. Otherwise, as other’s have coined, you end up with a data lake – a bunch of data but not in context and not useable in providing great, continuos customer experiences. And at the end of the day, what companies need is to have the data actually to help them run their business better. So the announcement today solves some of these issues, i.e., Think Big, a Teradata (NYSE: TDC) company, announced the immediate expansion of its big data consulting business.
They have announced a dashboard engine to be able to have drill down capability and get to the insights using ingestion patterns and infrastructure. Think Big embraces a range of vendor-neutral, open source options and recommends the best combination to complement existing, proven technologies based on each customer’s unique business needs.
Think Big assists clients, across industries, to gain measurable business value from big data through implementation and integration of open-source technologies such as Apache™ Hadoop®, Apache Spark™, and NoSQL databases (i.e. Apache HBase™, Apache Cassandra™, and MongoDB).
“Hadoop and its fast growing ecosystem of open source projects have quickly become first-class technology assets, regardless of the organization’s size or geography,” said Rick Farnell, co-founder and senior vice president International, Think Big, a Teradata company. “Think Big’s international expansion will allow us to effectively share our expertise and support our customers. To support its growth, Think Big is aggressively recruiting talented individuals to fill a variety of positions in sales, data engineering, data science and project management.”
Will be very interesting to see how the partnership evolves and the case studies that result. Remember – send your clients to the enter into the Super Nova Awards to be considered. It’s a great honor and Constellation Research is looking for innovators who are disrupting business models and using data to do that. Especially in click-stream data.
