Presenting the Ably Periodic Table of Realtime putting in a single place all the disparate, well, elements of the realtime and event-driven space. Users increasingly demand realtime, synchronous digital experiences. This demand is growing exponentially and presents serious engineering challenges. Event-driven architectures meet the challenge head-on, filling the requirements gap, and establishing themselves as an indispensable, integral part of the solution.

Many a time, the choosing of a product analytics vendor can be quite an ordeal because there is no one-size-fits-all solution. The technical factors such as tech stack compatibility and integrations with the product have to be balanced with the financial health of the business. You need to find the sweet spot between where you need to go and how much money you actually have to get there.

We are excited to announce a new global release of our software with unique API visibility features to help organizations discover problems with their cloud services well before they impact customers in production.

In our Data Lake vs Data Warehouse blog, we explored the differences between two of the leading data management solutions for enterprises over the last decade. We highlighted the key capabilities of data lakes and data warehouses with real examples of enterprises using both solutions to support data analytics use cases in their daily operations.

Streamlining and optimizing its business workflows and processes is one of the most valuable things any organization can do behind the scenes. That’s where ERP (enterprise resource planning) software comes in. With use cases ranging from sales and finance to logistics and human resources, ERP platforms help integrate, standardize, and centralize all of your processes and data.

Everyone knows that more and more data is moving to the cloud. According to the latest research, 94% of all enterprises use cloud services and 48% of businesses store classified and important data in the cloud. While the cloud is ubiquitous, in practice it consists of data infrastructures in various locations around the world. The question of where the cloud data infrastructure storing your specific data is located is becoming increasingly important.

With the release of CDP Private Cloud (PvC) Base 7.1.7, you can look forward to new features, enhanced security, and better platform performance to help your business drive faster insights and value. We understand that migrating your data platform to the latest version can be an intricate task, and at Cloudera we’ve worked hard to simplify this process for all our customers.

As businesses look to scale-out storage, they need a storage layer that is performant, reliable and scalable. With Apache Ozone on the Cloudera Data Platform (CDP), they can implement a scale-out model and build out their next generation storage architecture without sacrificing security, governance and lineage. CDP integrates its existing Shared Data Experience (SDX) with Ozone for an easy transition, so you can begin utilizing object storage on-prem.

Snowflake connected with David Coluccio from S&P Global Market Intelligence at the Snowflake Data Cloud Tour to hear how the company is using the Snowflake Data Cloud to curate massive amounts of data and provide seamless access for its clients. S&P Global’s foundation is rooted in providing essential insights to make more-informed decisions.

Manual regression testing is time-consuming, costly, and difficult to scale as your team grows. As you add more features to your product, you have to hire more people and spend more time completing your regression test suite in every software release cycle. Automating your regression test suite can help your team scale up testing without adding more headcount.