Scalable, metadata driven and secure data processing

Real-time, interactive and batch processing realized with our data lake foundation framework

Open source big data platforms make it possible to store and analyze greater varieties and volumes of data at significantly lower costs and with greater agility by making data available for analysis immediately. However, many organizations have struggled with the trade-offs between loading and using data faster and adding appropriate levels of governance to ensure analytic results are trusted.

For successful big data implementations, enterprises must find a way to adapt proper governance practices without sacrificing agility. Think Big has 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.

Bringing data sources into a data lake can be a time-consuming experience. Think Big’s Data Lake Foundation service provides a robust solution to help companies ingest and transform data from a variety of sources in a scalable manner. Data Lake Foundation will allow you to:

  • Ingest a large number of data sources into a data lake
  • Aggressively go after business value versus spending time building data pipelines
  • Focus on data lineage and provenance, thus reducing the amount of time spent on data wrangling
  • Utilize non-proprietary software for data ingestion, preparation and discovery

Data Lake Foundation is typically delivered in as little as 10 weeks, and provides initial capabilities for full data lineage, metadata management, data discovery and data wrangling. Data Lake Foundation delivers data into the data lake using Think Big’s tried and tested methods and accelerators. Through Think Big’s experience and IP, customers can gain critical data management capabilities to help set the stage for future analytics efforts.




For most engagements, the Data Lake Foundation service uses open source framework, Kylo, providing all of the above benefits rapidly and at low risk. Kylo lets businesses easily configure and monitor data pipelines on the data lake so users have constant access to high-quality data. It also enhances data profiling and discovery with extensible metadata. Find out more about Kylo and its capabilities and features.

Other Ecosystem Tools

Some customers want to use tools other than Kylo to achieve their goals with big data. Delivering business outcomes has always been Think Big’s focus and the team is well versed on the use of other data lake platforms and tools if they are desired by the client.

Velocity provides a proven set of services to help organizations wherever they are on their big data journey. From Strategy & Architecture, Analytic Solutions, Data Science, Data LakeManaged Services and Training our teams of experts can help your organization to turn your big data challenges into solutions and tangible business outcomes, faster and at low risk.