Systems | Development | Analytics | API | Testing

Monitoring BigQuery reservations and slot utilization with INFORMATION_SCHEMA

BigQuery Reservations help manage your BigQuery workloads. With flat-rate pricing, you can purchase BigQuery slot commitments in 100-slot increments in either flex, monthly, or yearly plans instead of paying for queries on demand. You can then create/manage buckets of slots called reservations and assign projects, folders, or organizations to use the slots in these reservations. By default, queries running in a reservation automatically use idle slots from other reservations.

Is your data healthy?

It’s no secret that what companies need from their data and what they can actually get from their data are two very different things. According to our recent survey, most executives work with data every day, but only 40% of them always trust the data they work with. We also discovered that 78% of them have challenges making data-driven decisions. Virtually every business is collecting more data than ever before, so lack of data can’t be the issue.

How to use Apache Spark with CDP Operational Database Experience

Apache Spark is a very popular analytics engine used for large-scale data processing. It is widely used for many big data applications and use cases. CDP Operational Database Experience Experience (COD) is a CDP Public Cloud service that lets you create and manage operational database instances and it is powered by Apache HBase and Apache Phoenix.

Bringing the World's Data Together: Announcements from Snowflake Summit

At this year’s Snowflake Data Cloud Summit: Data Together Now, customers and partners from around the world came together to explore the transformational power of data and Snowflake’s vision for bringing the world’s data together in the Data Cloud. Over the course of two days and 70 sessions, attendees were inspired by keynotes, learned from their peers in customer and partner sessions, and participated in hand-on labs and technical deep-dives.

Future of Data Meetup: Building Automated Machine Learning Workflows in the Cloud

In this meetup, we’re going to put ourselves in the shoes of an electric car manufacturer that produces all the parts for their cars in house. First, we’ll show you an example on how this fictional car company could walk through the process of creating a prediction model based on part production data. We will then automate the creation of these models by making them depending on an upstream data collection process. To finish it off, we’ll deploy these models and make them accessible via an external API all within a native cloud environment using the Cloudera Data Platform.

Explosive Data Growth on a Flat IT Budget

Data is growing exponentially. In 2020 alone 64 Zettabytes of data was created! At the same time, many IT organizations are struggling with flat IT budgets—driving the need for flexible data storage consumption. As businesses grow, their ability to consume capacity in a flexible manner becomes even more critical. Tom Christensen, Hitachi Vantara Global Technology Advisor, discusses on-prem, public cloud and private cloud options and the advantages of private cloud, consumption based services.

Copado - A Complete Native DevOps Platform built on Snowflake

Powered by Snowflake is a series where we interview technology leaders who are building businesses and applications on top of Snowflake. In this episode, Daniel Myers from Snowflake interviews Gloria Ramchandani, Senior Director of Product at Copado, an end-to-end, native DevOps platform for Salesforce built on Snowflake.