The digital revolution has sparked a wave of innovation as companies strive to meet consumers where they spend the most time — on web and mobile devices. To keep up with the demands that digital innovations place upon product markets, businesses are increasingly incorporating analytics into their products.
Can containerized deployments help your business? Are your customers’ data applications held back by basic, outdated dashboards and reports? Well, they’re not alone. As the digitization wave crashes over a post-pandemic market, many organizations are taking stock of their data tools and finding them lacking in comparison to other more modern solutions available. Gone are the days when simple self-service analytics would suffice for their users.
Hitachi Vantara has once again been recognized as a leader and fast mover in the 2023 GigaOm Radar for Unstructured Data Management: Infrastructure-Focused Solutions, marking the third consecutive year we have achieved this honor. The report emphasizes the growing complexity of unstructured data management and highlights the importance of having a solution that can seamlessly handle data movement at scale automatically.
In the first three articles in this four-post series, my colleague Jason English and I explored DataOps observability, the connection between DevOps and DataOps, and data-centric FinOps best practices. In this concluding article in the series, I’ll explore DataOps resiliency – not simply how to prevent data-related problems, but also how to recover from them quickly, ideally without impacting the business and its customers.
In partnership with Tumult Labs, BigQuery differential privacy can help to anonymize data, and will integrate with BigQuery data clean rooms.
