While the promise of big data and AI has never been more achievable, putting it into practice has never been more challenging. The success of your analytics projects hinges on knowing the obstacles that lay ahead, avoiding common pitfalls, and choosing the right technologies that can scale with your business.
Download this guide to data science from Databricks and better understand how a modern scalable analytics platform can drive monumental change.
Learn how to
- Overcome the primary obstacles limiting the abilities of financial institutions to adopt and scale analytics and AI
- Leverage big data and AI in a broad range of innovative use cases
- Increase operational efficiency and democratize data
About this APN Partner
Databricks accelerates innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache Spark, Databricks provides a Unified 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. Users can focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks was created on AWS and has a global customer base that includes Viacom, Shell and HP.
Date January 31, 2018
Time 1:00 PST/ 4:00 PM EST
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