It is becoming increasingly difficult to standardize taste. The myriad culinary preferences and gastric demands of the American population are reflected in the $997B valuation of the U.S. packaged food market in 2020. There has also been a push in recent years to augment trips to the grocery store with at-home meal kits and food delivery services, a trend further accelerated by the onset of quarantine restrictions.

Everyone knows that more and more data is moving to the cloud. According to the latest research, 94% of all enterprises use cloud services and 48% of businesses store classified and important data in the cloud. While the cloud is ubiquitous, in practice it consists of data infrastructures in various locations around the world. The question of where the cloud data infrastructure storing your specific data is located is becoming increasingly important.

With the release of CDP Private Cloud (PvC) Base 7.1.7, you can look forward to new features, enhanced security, and better platform performance to help your business drive faster insights and value. We understand that migrating your data platform to the latest version can be an intricate task, and at Cloudera we’ve worked hard to simplify this process for all our customers.

As businesses look to scale-out storage, they need a storage layer that is performant, reliable and scalable. With Apache Ozone on the Cloudera Data Platform (CDP), they can implement a scale-out model and build out their next generation storage architecture without sacrificing security, governance and lineage. CDP integrates its existing Shared Data Experience (SDX) with Ozone for an easy transition, so you can begin utilizing object storage on-prem.

Snowflake connected with David Coluccio from S&P Global Market Intelligence at the Snowflake Data Cloud Tour to hear how the company is using the Snowflake Data Cloud to curate massive amounts of data and provide seamless access for its clients. S&P Global’s foundation is rooted in providing essential insights to make more-informed decisions.

Building on the announcements made at this year’s Summit, Snowflake has released a number of new enhancements, especially in the areas of data programmability, global governance, and data sharing. Read on to learn more. For additional details and to see some of these new capabilities in action, be sure to check out the on-demand sessions from Summit.

Today’s organizations face rising customer expectations in a fragmented marketplace amidst stiff competition. This landscape is one that presents opportunities for a modern data-driven organization to thrive. At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles.

“The most difficult thing is finding out why your job is failing, which parameters to change. Most of the time, it’s OOM errors…” Jagat Singh, Quora Spark has become one of the most important tools for processing data – especially non-relational data – and deriving value from it. And Spark serves as a platform for the creation and delivery of analytics, AI, and machine learning applications, among others.

Modern data and analytics leaders know that every business user is different. No two marketers or finance managers will use data in exactly the same way because no two share the same contextual view or understanding of the business. Their challenges are as nuanced as they are complex. And they need insights tailored to their specific needs if they are to be successful at solving business problems with data. Unfortunately, traditional BI tools treat everyone like carbon copies.

Last week in the BigQuery reference guide, we walked through query execution and how to leverage the query plan. This week, we’re going a bit deeper - covering more advanced queries and tactical optimization techniques. Here, we’ll walk through some query concepts and describe techniques for optimizing related SQL.