Systems | Development | Analytics | API | Testing

Ingesting Google Cloud Storage files to BigQuery using Cloud Functions and Serverless Spark

Apache Spark has become a popular platform as it can serve all of data engineering, data exploration, and machine learning use cases. However, Spark still requires the on-premises way of managing clusters and tuning infrastructure for each job.

Hybrid Data Cloud Success for State and Local Governments

State and local governments generate and store enormous amounts of data essential to their ability to deliver citizen services. But how can they capitalize on all of their data to become engines of growth and innovation, empowering and enhancing their ability to provide services and better serve their communities?

Introducing Talend Data Catalog 8, our most powerful governance solution ever

We’re thrilled to announce Talend Data Catalog 8, our most powerful data governance solution yet. Talend Data Catalog 8 builds on our strong foundation of metadata management and data cataloging capabilities to deliver what businesses need most: healthy data. At Talend, healthy data is data that supports business objectives, and is often the missing link between business success and failure.

SNCF: Getting the customer experience right

As a major railway operator, SNCF has a whole lot of data on its hands, including more than 50 million customer records. The first step in using that data more effectively was integrating and consolidating all of its diverse data sources and databases into a single Customer Platform. In this video, Yann Jourdain, CIO at SNCF Voyages, explains how he made it happen.

Drive Retail Profitability, Stability with Snowflake's Retail Data Cloud

In 2022, retailers are still dealing with the lasting impacts of the global pandemic, including a decreased workforce, supply chain disruptions, and surging inflation. At the same time, now is the chance for a “long overdue great retail reset” that could promote stability and profitability, according to a recent Deloitte report.

DataOps Observability Datasheet

Unravel’s AI-enabled full-stack observability for the modern data stack simplifies the way data teams monitor, observe, manage, troubleshoot, and optimize the performance and cost of large-scale data applications. Unravel also accelerates data migration to the cloud by providing a data-driven assessment plan to save time and cost while also enabling you to deploy effortlessly.