SAN FRANCISCO, California – Spark Summit – June 15, 2015 – Cloudwick, the leading enterprise open source systems integrator, announced at Spark Summit today a complete portfolio of QuickStart services designed to deliver competitive analytics advantage to data scientists and the enterprise in 30 days or less. Data scientists, analysts and IT can now gain competitive big data advantage from analytics powered by Cloudwick and Databricks.
Cloudwick Enterprise QuickStart Services for Databricks
With more than $100 million in AWS big data cloud under management for the enterprise, Cloudwick has the experience and expertise required to design, engineer and manage secure data pipelines from on-premise and IoT to the Databricks Cloud. Cloudwick offers the enterprise data scientist, analyst and engineer with these Databricks QuickStart services:
- Databricks Analytics QuickStart: Cloudwick consultants work with data scientists and enterprise IT to securely architect and engineer Databricks Cloud on AWS and develops up to two (2) analytics Notebooks using either Databricks or Tableau visualization. Engagements vary from 2-4 weeks with fixed price packages starting at $24,000.
- Databricks IoT QuickStart: Cloudwick consultants work with data scientists and enterprise IT to securely architect and engineer an IoT data pipeline for the Databricks Cloud and develop one (1) analytics Notebook using either Databricks or Tableau visualization. Engagements are four (4) weeks with a fixed price of $50,000.
- Databricks Pipeline QuickStart: Cloudwick consultants work with data scientists and enterprise IT to securely architect and engineer a data pipeline using one (1) on-premise data source to the client’s Databricks cloud. Engagements vary from 1-4 weeks with fixed price packages starting at $12,000.
- Databricks Use Case QuickStart: Cloudwick consultants set-up a 1-week Databricks Cloud Analytics sandbox with up to 16 hours of remote consulting. Engagements are one week with a fixed price of $15,000. An optional 2-day on-site training for up to 10 professionals is available for an additional $25,000.
“Working with Cloudwick’s Databricks QuickStart program, data scientists and IT can now turn any enterprise data into competitive advantage in less than 30 days,” said Mani Chhabra, Cloudwick CEO. “Cloudwick powers Bank of America, Visa, Home Depot, 3M and more than 40 leading data-driven enterprises and the Databricks Cloud is the solution that data scientists are looking for to drive their big data analytics.”
“Cloudwick’s QuickStart service portfolio makes it possible for data scientists and IT to securely architect, engineer and manage big data pipelines from on-premise data sources like Hadoop, Cassandra, Teradata, Netezza and other traditional enterprise data sources to Databricks for advanced analytics,” said John Tripier, head of business development at Databricks. “Additionally, Cloudwick’s Databricks IoT QuickStart makes it possible for data professionals and IT to develop advanced analytics in 30-days by using the power of Spark and Databricks.”
Databricks was founded by the team that created and continues to drive Apache Spark, the most active open source project in the Big Data ecosystem. Apache Spark is a powerful open source data processing engine built for speed, ease of use, and sophisticated analytics. Databricks’ vision is to dramatically simplify big data processing and free users to focus on turning data into value. Databricks Cloud is a hosted end-to-end data platform on AWS powered by Spark. It enables organizations to seamlessly transition from data ingest through exploration and production. Databricks is venture-backed by Andreessen Horowitz and NEA. For more information, visit http://www.databricks.com.
Cloudwick (www.cloudwick.com) is the leading open source systems integrator to the Global 1000 specializing in big data professional, contracting, and managed services. As a certified systems integration partner to Databricks, Cloudera, Hortonworks, DataStax and AWS, our Hadoop, Spark and NoSQL administrators, developers and data scientists build, operate, monitor and manage on-premise and cloud big data systems for leading enterprises including 3M, Bank of America, Comcast, Home Depot, Intuit, JP Morgan, NetApp, Target, Visa, Walmart and more.