Businesses increasingly gather data to better understand their customers, products, marketing, and more. But unlocking valuable and meaningful insights from that data requires powerful, reliable, and scalable solutions. We hear from our BigQuery and Looker customers that they’ve been able to modernize business intelligence (BI) and allow self-service discovery on the data the business collects.

If 2020 taught businesses anything, it’s that being able to turn on a dime and change everything about how you operate isn’t a “nice to have” – it’s a must. The demand for low-code technologies and automation was already climbing, but the COVID-19 pandemic accelerated the need to re-orchestrate broken processes and reduce manual tasks.

When cyberattacks take out business systems, organizations suffer from direct and indirect financial losses. When healthcare systems go down, it’s a matter of life and death. Healthcare organizations were already a frequent target of cybercriminals, and the pandemic has made this situation worse. Infosecurity Magazine reports that healthcare data breaches will increase by 3x in 2021, at a time when so many healthcare providers are burnt out and exhausted from battling the pandemic.

Implementing a digital transformation agenda can be a complex activity for many organisations. Balancing risks and opportunities requires effective governance to ensure that digital transformation initiatives are adequately planned, funded and implemented.

Has your organization considered upgrading from Hortonworks Data Flow (HDF) to Cloudera Flow Management (CFM), but thought the migration process would be too disruptive to your mission critical dataflows? In truth, many NiFi dataflows can be migrated from HDF to CFM quickly and easily with no data loss and without any service interruption. Here we explore three common use cases where a CFM cluster can assume an HDF cluster’s dataflows with minimal to no downtime.

Are you familiar with the emerging discipline known as DataOps (data operations)?

The world produces more data than it can consume. Every minute, we watch more than 5 million videos and send over 200 million messages and emails. You read that right. Every. Single. Minute. Companies that want to tap into data-driven decision-making to dominate their competition need to collect the vast amounts of data produced and extract valuable insights using data analysis. But data collection can be extremely challenging.