by Angela Guess
A new article out of the company reports, “Teradata, the big data analytics and marketing applications company, today announced a new ‘design pattern’ approach for data lake deployment which leverages years of experience in big data consulting and optimization to help clients build and benefit from data lakes. The new design pattern approach is an industry first and positions Teradata at the forefront in helping business users, data scientists and IT professionals establish data lakes that produce exceptional business value.”
The article goes on, “Organizations are exploring the functionality of data lakes to create insight and opportunity from exploding data volumes, yet serious problems entangle their IT teams, including a lack of best practices, the shortage of data scientists, and even confusion regarding the definition of a data lake. In addition to these challenges, technology choices are multiplying.”
It adds, “For example, data lakes are typically assumed synonymous with Hadoop – which is an excellent choice for many data lake workloads – however, a data lake can be built on multiple technologies such as Hadoop, NoSQL, Amazon Simple Storage Service (S3), a relational database (RDBMS), or various combinations thereof. And while technologies are critical to the outcome, a successful data lake needs a plan. A data lake design pattern is that plan. The design pattern consists of intellectual property based on enterprise-class best practices combined with products co-developed from a stream of successful customer engagements.”
Photo credit: Teradata