A global leader in pharmaceuticals found themselves faced with a unique spin on a common challenge: Their biopharmaceutical division — responsible for producing vaccines and generating over $1 billion in annual sales — was struggling to turn raw data into trusted insights. Data underlies everything the global pharmaceutical company does, however, without data they can trust, they would be at risk of taking longer to get vaccines to market and incurring higher expenses along the way.

BigQuery already offers highly flexible pricing models, such as the on-demand and flat-rate pricing for running queries, to meet the diverse needs of our users. Today, we’re excited to make it even easier for you to optimize BigQuery usage with new BigQuery slot recommendations powered by Active Assist, a part of Google Cloud’s AIOps solution that uses data, intelligence, and machine learning to reduce cloud complexity and administrative toil.

Sharing and exchanging data with other organizations is a critical element of any organization’s analytics strategy. In fact, BigQuery customers are already sharing data using our existing infrastructure, with over 4,500 customers swapping data across organizational boundaries. Creating seamless access to analytics workflows and insights has become that much easier with the introduction of Analytics Hub and surfacing datasets unique to Google.

Sometimes it takes a billion-dollar mistake to bring the murkier side of data ethics into sharp focus. Equifax found this out to their own cost in 2017 when they failed to protect the data of almost 150 million users globally. The catastrophic breach was bad enough on its own — but Equifax waited three months to go public with the news. As the public furore rose to a crescendo, the credit organization dragged its feet on disclosing exactly what kind of information had been leaked.

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.

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?

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.