According to 451 Research, 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges.
The start of a new year is a perfect time to reflect on what was accomplished and look forward, re-evaluate what we can do better. Change, although difficult at first, can also be very rewarding. That’s why I was excited to see similar sentiments shared at Thoughtspot beyond.2021 to move beyond the traditional dashboards of the past.
Organizations increasingly turn to AI to transform work processes, but this rapid adoption of models has amplified the need for explainable AI. Explaining AI helps us understand how and why models make predictions. For example, a financial institution might wish to use an AI model to automatically flag credit card transactions for fraudulent activity. While an accurate fraud model would be a first step, accuracy alone isn’t sufficient.
Co-founded by a professional tennis player stricken with cancer at age 24 and his wife, Your Super is an eCommerce company focused on helping people improve their health with nutritious superfoods. Even in its early days, the company focused on using their data to uncover customer wants and help them get the most value out of their purchases. “When I first started, the company was maybe 20 people,” explains Gabriel Freeman, Business Intelligence Manager for Your Super.
Let’s start with a hard truth: If you try to do everything, you won’t excel at anything. In a growing business, there’s no shortage of things that need attention, but you can’t do everything at once. Instead, you have to decide where to focus your resources to get the greatest impact. In a word, you must become a master of triage.
Most enterprises that have embarked on their digital business journey have quickly realized that data is the foundation of every digital business. No successful digital business has succeeded without a data strategy. So, when I joined Joe DosSantos, Chief Data Officer at Qlik, on the Data Brilliant podcast, we discussed how data has been democratized, why certain organizations have succeeded with digital transformation, and what factors are required to build the culture for success.
This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. The release of CDP Private Cloud Base has seen a number of significant enhancements to the security architecture including: Before diving into the technologies it is worth becoming familiar with the key security principle of a layered approach that facilitates defense in depth.
The Snowflake Data Cloud is a powerful place to work with data because we have made it easy to do difficult things with data, such as breaking down data silos, safely sharing complex data sets, and querying massive amounts of data. As customers move to the Data Cloud, their needs and timelines vary—our goal is to meet every customer where they are on their Data Cloud journey.
We are excited to announce the release of Cloudera Streaming Analytics (CSA) 1.6 for CDP Private Cloud Base. With this release, we build on the foundation on 1.4 and 1.5 – with a number of fixes, enhancements, and features. Starting with this release, we now have an aligned release cycle for CSA Community Edition (CE). You can now expect simultaneous releases of CSA for both CE and CDP Private Cloud Base versions.
