At this point, we can pretty confidently project that the cloud isn’t going anywhere. In the last few years, we’ve seen critical production workloads move to the cloud en masse—and that’s only going to continue. Now that the shift has occurred, other companies will need to get on board as well. The question is no longer if a company should adopt cloud but when and how. Ajeet Singh, ThoughtSpot’s Co-founder and Executive Chairman, is no stranger to embracing change.

Jamie Kiser, COO and CCO at Talend, explains why retailers, striving to ensure they’re not missing out on future opportunities, must leverage one thing: data. By utilizing customer intelligence and better data management, retailers can collect supply chain data in real-time, make better orders to suppliers based on customer intelligence. While major industries from tech to the public sector felt COVID’s pain points, not many felt them as acutely as retail.

The retail and manufacturing industries have had many new challenges due to COVID-19. As a leading action sports apparel company, La Jolla Group has persevered during this time. Now more than ever we rely on a holistic view of our forecasting, sales and production data. We have democratized this data empowering users from across the business to make well-informed business decisions, quickly. That’s where Qlik has shown real superiority over other platforms like Power BI and Tableau.

CDOs are charged with leading their organizations to become more data-driven. In 2021, this mission is more critical as the distance between data-driven organizations and laggards widened. For many, this means accelerating digital transformation plans.. Last year, ten-year plans got compressed into a single year. Companies raced to implement new technologies - everything from digital payments, store fronts, chat bots, cloud databases, and augmented analytics solutions

When doing analytics at scale with BigQuery, understanding what is happening and being able to take action in real-time is critical. To that end, we are happy to announce Resource Charts for BigQuery Administrator. Resources Charts provide a native, out-of-the-box experience for real-time monitoring and troubleshooting of your BigQuery environments.

Data privacy is an increasingly complex and contentious topic. The appropriate use of data and transparency to the potential uses of the data are at the center of debate amongst the largest Big Tech companies. The protection and controls around data become increasingly complex when used in the context of banking and insurance activities. Personal and confidential information carries heightened sensitivity in the light of financial, health and insurance activities.

One of the most effective ways to improve performance and minimize cost in database systems today is by avoiding unnecessary work, such as data reads from the storage layer (e.g., disks, remote storage), transfers over the network, or even data materialization during query execution. Since its early days, Apache Hive improves distributed query execution by pushing down column filter predicates to storage handlers like HBase or columnar data format readers such as Apache ORC.

Cloudera Data Platform (CDP) Public Cloud allows users to deploy analytic workloads into their cloud accounts. These workloads cover the entire data lifecycle and are managed from a central multi-cloud Cloudera Control Plane. CDP provides the flexibility to deploy these resources into public or private subnets. Nearly unanimously, we’ve seen customers deploy their workloads to private subnets.

The Google Cloud Public Datasets program recently published the Python Package Index (PyPI) dataset into the marketplace. PyPI is the standard repository for Python packages. If you’ve written code in Python before, you’ve probably downloaded packages from PyPI using pip or pipenv. This dataset provides statistics for all package downloads, along with metadata for each distribution. You can learn more about the underlying data and table schemas here.

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. FRTB is designed to address some fundamental weaknesses that did not get addressed in the post-2008 financial crisis regulatory reforms. In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors.