Helping companies gain value from Big Data through the implementation of the latest open source technologies is the goal of Think Big, a Teradata company, when it announced that its services are now available in the Philippines market.
From left: Ella Mae Ortega, Country Manager, Teradata; Martin Oberhuber, Principal Data Scientist and International Practice Lead, Think Big; Stephen Brobst, CTO, Think Big
“With Think Big, Teradata can provide customers the best and vendor independent consulting service to help them build their data-driven business strategy with the right processes and right technology,” said Ella Mae Ortega, Country Manager at Teradata.
Ortega also said that Think Big brings in services that help customers, for instance, in being able to build architecture and roadmap which are all based in business values. Basically, she said, the biggest value that it brings to customers would be skills, support, and experience.
According to Martin Oberhuber, Principal Data Scientist and International Practice Lead at ThinkBig, the company adopts open source technologies that can best complement existing platforms, and boasts of data scientists and engineers that have the know-how that conform to the needs of its clients.
“Hadoop and its fast-growing ecosystem of open source projects have quickly become first-class technology assets, regardless of an organization’s size or geography,” said Oberhuber. “We’re committed to realizing the best combination of the latest open source technologies to complement existing platforms. With our industry-trusted data scientists, engineers, and consultants in place, this allows us to effectively share our expertise and support our customers to quickly extract value from their data.”
Think Big consulting services which are designed to meet clients’ big data requirements include Data Science, Architecture and Roadmap, Data Lake, Training and Mentoring, and Managed Services.
Data Science includes review of analytic capabilities, support with developing proofs of concept for big data use cases, implementing those and “data science as a service” by offering insights from pre-built data models.
Architecture and Roadmap defines use cases which align to business needs and strategies in designing the appropriate architecture, assessing existing capabilities and building a roadmap for big data projects.
Data Lake (or the environment where raw data are installed) consists of solution design, engineering, and delivery connected to business objectives, including optimization of existing infrastructure and data lake governance.
Training and Mentoring includes big data training courses on Hadoop, Spark, HBase, R and more; and mentoring to ensure clients are well prepared for big data success.
Managed Services consist of management and optimization of big data systems to improve performance and insights, and training to increase organizational adoption of big data and analytics systems.
As the volume of data is exponentially increasing, there is also a growing demand for better data science within enterprises and ThinkBig clients as well. Oberhuber says they are addressing this need.
“We generally help our clients build data center applications. We have a lot of data center applications that we really apply on their projects, and if they see business value in it, we encourage them to pursue and help them in doing so. We also train people through our academic offerings,” said Oberhuber.
