In the second of this two-part episode of Data+AI Battlescars, Sandeep Uttamchandani, Unravel Data’s CDO, speaks with Kapil Surlaker, VP of Engineering and Head of Data at LinkedIn. In part one, they covered LinkedIn’s challenges related to metadata management and data access APIs. This second part dives deep into data quality.
In the first of this two-part episode of Data+AI Battlescars, Sandeep Uttamchandani, Unravel Data’s CDO, speaks with Kapil Surlaker, VP of Engineering and Head of Data at LinkedIn. In this first part, they cover LinkedIn’s challenges related to Metadata Management and Data Access APIs. Part 2 will dive deep into data quality.
We’re all familiar with how Google Search revolutionized information processing for consumers. The ingenious combination of AI with a new way to organize content on the web created a user-friendly experience that forever changed how the world finds relevant information on the internet.
At Cloudera, we have long believed that automation is key to delivering secure, ready-to-use, and well-configured platforms. Hence, we were pleased to announce the public release of Ansible-based automation to deploy CDP Private Cloud Base. By automating cluster deployment this way, you reduce the risk of misconfiguration, promote consistent deployments across multiple clusters in your environment, and help to deliver business value more quickly.
At Snowflake Summit 2021, we announced that Snowpark and Java functions were starting to roll out to customers. Today we’re happy to announce that these features are available in preview to all customers on AWS today. These features represent a major new foray into data programmability, enabling you to more easily make Snowflake’s platform do more for you. Snowflake started its journey to the Data Cloud by completely rethinking the world of data warehousing to accommodate big data.
Speed and agility are vital in today’s dynamic economy. But moving fast in the dark is dangerous. Decision makers need the insights and guidance they can only get from reliable data. But despite massive efforts from their internal BI teams, getting that data when and how they need it has been problematic.
