9 out of 10 large organizations have started on their data lake journey, but many are struggling to generate value out of their huge investments. Data lake initiatives either remain incomplete due to 1) the lack of expertise and specialized skills around Hadoop or 2) the failure to scale the highly specialized processing of data for analytics and data science projects.
These factors have led to poor data lake adoption and usage in the enterprise. But there are ways to optimize existing data lakes on Hadoop in order to drive better performance, increase adoption, and ultimately generate ROI and real business impact.
In this webinar, you will hear from Krishnan Parasuraman, VP of Sales and Business Development at Splice Machine, Ravindra Punuru, CTO at Diyotta, and our guest speaker, Brent Snyder, Senior Data Architect at Sonoco, on how to optimize your data lake investment through the use of innovative technologies like Splice Machine and Diyotta.
Watch the webinar to learn:
• How to address the challenges of current data lake architectures
• What the potential solution patterns are and how they can work for your business
• How Splice Machine and Diyotta technologies work together for success at companies like Sonoco