We’ve been busy speaking to our customers and thought leaders in the industry and have rounded up the key takeaways from our latest CDO sessions. Here are some of the top takeaways and advice gained from these sessions with big data leaders, Kumar Menon from Equifax, Anheuser-Busch’s Harinder Singh, Sandeep Uttamchandani from Unravel, and DBS Bank’s Matteo Pelati.
More than ever, businesses are making real-time, data-driven decisions based on information stored in their data warehouses. Today’s data warehouse requires continuous uptime as analytics demands grow and organizations require rapid access to mission-critical insights. Business disruptions from unplanned downtime can severely impact company sales, reputation, and customer relations.
We recently Googled the manufacturing use case “predictive maintenance” and was astonished by the results there were 82 MILLION results returned. Next, we Googled “process optimization” and it yielded even more results – 302 MILLION. Clearly, these use cases are top of mind in today’s manufacturing landscape, considering digital transformation will deliver $11 Trillion USD in economic value by 2025.
BigQuery is used by organizations of all sizes, and to meet the diverse needs of our users, BigQuery offers highly flexible pricing options. For enterprise customers, BigQuery’s flat-rate billing model is predictable and gives businesses direct control over cost and performance. We’re now making the flat-rate billing model even more accessible by lowering the minimum size to 100 slots, so you can get started faster and quicker.
The Cloudera Data Warehouse (CDW) service is a managed data warehouse that runs Cloudera’s powerful engines on a containerized architecture. It is part of the new Cloudera Data Platform, or CDP, which went live on Microsoft Azure earlier this year. The CDW service lets you meet SLAs, onboard new use cases with zero friction, and minimize cost. Today, we are pleased to announce the general availability of CDW on Microsoft Azure.
Organizational leaders worldwide agree that data governance is important. However, data governance programs in most companies are still being planned or in progress. In a 2020 Dataversity report¹, only 12 percent of companies had fully implemented programs, while 38 percent of programs were a work in progress, and 31 percent were just getting started. That’s because companies often run into roadblocks while executing data governance. Below are five common obstacles organizations face.
