DMP

Wavicle Data Solutions and Databricks announced a strategic partnership

Strategic partner network expands to serve growing Wavicle customer base
Data and analytics implementations

Wavicle Data Solutions, a leading provider of data and analytics solutions and services, today announced a strategic partnership with Databricks, a leader in unified analytics and founded by the original creators of Apache Spark™.

“Data and analytics implementations are at the heart of what we do, so teaming with an analytics platform leader like Databricks is a natural fit for Wavicle and for our customers,” said Naveen Venkatapathi, president of Wavicle Data Solutions. “Expanding our partner network and developing a deeper knowledge base around emerging and established tools and platforms in the marketplace results in better solutions for our customers as they work to scale quickly and achieve the advanced analytics and machine learning results they require.”

Databricks provides a Unified Data Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production.

“Databricks is helping enterprises accelerate their use of AI and machine learning and a key to our success is having partners like Wavicle who are intimately familiar with the benefits Databricks provides and with how to best pair it with other technologies to deliver powerful solutions for our joint customers,” stated Marc Lobree, USCA Partnerships with Databricks. “We are pleased to join Wavicle’s growing list of strategic partnerships and make sure their customers are reaping all the rewards of their data lake and analytics implementations.”

Earlier this year, Databricks launched Delta Lake, an open source technology that provides data lake reliability for batch and streaming data. Wavicle and Databricks are teaming with Talend to present a joint webinar on Tuesday, November 12, 2019 about modern data architecture using Delta Lake and Talend to bring organization and consistency to data in data lakes. Register here to view the webinar https://www.wavicledata.com/datalakeswebinar.

ABOUT WAVICLE DATA SOLUTIONS
Wavicle Data Solutions delivers data and analytics solutions that help organizations achieve business results. For more than a decade, Wavicle has delivered custom solutions to capture, analyze, and share growing volumes of data from traditional on-site systems, cloud applications, social media, and numerous other sources. Wavicle combines its expertise in big-data architectures with artificial intelligence and machine learning concepts to help enterprises imagine new ways to manage costs, increase sales, and become more efficient. Wavicle was also recognized as an Inc. 500 company in the 2019 list of fastest growing private companies in America. For more information about Wavicle Data Solutions’ offerings for large organizations that want to get more value from their massive volumes of growing data, please visit http://www.wavicledata.com.

ABOUT DATABRICKS
Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache Spark, Databricks provides a Unified Data Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks has secured investments from Andreessen Horowitz, Coatue Management, Microsoft, New Enterprise Associates (NEA), Battery Ventures, Green Bay Ventures, and Geodesic, among others, and has a global customer base that includes Viacom, Shell and HP.

Previous ArticleNext Article

Leave a Reply

Your email address will not be published. Required fields are marked *