Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. The Replication Manager service facilitates both disaster recovery and data migration across different environments.

With technology innovations raging at incredible speeds over the past few decades, new and exciting platforms for gathering, storing, transforming, and manipulating data are entering the market every day. Apache Hadoop was one of these disrupters when it entered the market in 2006, offering distributed storage and big data processing using a network of many computers.

CDP Operational Database Experience (COD) is a PaaS offering on the Cloudera Data Platform (CDP). COD enables you to create a new operational database with a few clicks and auto-scales based on your workload. Behind the scenes, COD automatically manages cluster deployment and configuration, reducing overheads related to setting up new database instances. Additionally, auto-scaling eliminates the need to size a cluster for your workloads.

Climate change is a challenge for insurers in some obvious ways, such as stronger and more frequent natural disasters. Yet there are also more subtle risks to monitor, including changes to insured assets, risks, and exposures. Climate impacts the production quality and quantity of insured consumable goods, their location, and their supply chains.

Not a day goes by without questions from candidates, customers, and other interested parties about how we run Snowflake Engineering. I often hear: “Snowflake has been delivering a truly innovative, high quality product, and the pace of delivery is only accelerating. There must be a secret to it.” Indeed, we have a unique engineering team, and continue to hire world-class engineers. They are the driving force behind our products.

Data security is an ongoing concern for anyone managing a data warehouse. Organizations need to control access to data, down to the granular level, for secure access to data both internally and externally. With the complexity of data platforms increasing day by day, it's become even more critical to identify and monitor access to sensitive data.

At Parameta Solutions, clients have come to expect our data, and our data products, to be robust and reliable. The way we really stand out in this specialist arena is through the quality and sophistication of our client services. I was delighted recently to share my experiences of how ThoughtSpot is supporting us in both of these aims during a webinar hosted by Cindi Howson during the Chief Data & Analytics Officers UK, 2021 event last February.

Picking the right business intelligence (BI) tool is essential to helping you beat your competitors, better serve your customers, and make smarter data-driven decisions. However, there's no one-size-fits-all tool for every enterprise. Not all BI users are created equal, and not all users should have the same level of access to sensitive and confidential data.

In the second of this two-part episode of Data+AI Battlescars, Sandeep Uttamchandani, Unravel Data’s CDO, speaks with Kapil Surlaker, VP of Engineering and Head of Data at LinkedIn. In part one, they covered LinkedIn’s challenges related to metadata management and data access APIs. This second part dives deep into data quality.

In the first of this two-part episode of Data+AI Battlescars, Sandeep Uttamchandani, Unravel Data’s CDO, speaks with Kapil Surlaker, VP of Engineering and Head of Data at LinkedIn. In this first part, they cover LinkedIn’s challenges related to Metadata Management and Data Access APIs. Part 2 will dive deep into data quality.