Our new feature helps you implement Type 2 slowly changing dimensions for your historical database analytics with no coding needed.

In the previous episode of Digital Masters, EY’s Gurdeep Batra gave us the inside scoop on how hyperautomation is transforming the $89 trillion global wealth and asset management industry. But the good times, says Batra, are changing fast as the devastation of the COVID-19 crisis, increasing regulation, and ever-changing customer expectations squeeze revenues and boost operating costs to an all-time high.

Salesforce is the world's #1 CRM (customer relationship management) platform. The service provides access to valuable data by logging and collecting customer interactions, regardless of the channel in which they take place. Whether it gets the information from phone calls, website transactions, or social media posts, Salesforce delivers customer data in real-time so business owners can gain essential insights.

Healthcare information is perhaps the most important data in our lives. Your health records can contain your medical history, results of tests and scans, and details of current health insurance. This data is a special class of personally identifiable information, and HIPAA is the law that protects it.

When we talk about a healthy lifestyle, we know it takes more than diet and exercise. A lifelong practice of health requires discipline, logistics, and equipment. It is the same for data health: if you don’t have the infrastructure that supports all your health programs, those programs become moot.

Making a decision on a cloud data warehouse is a big deal. Beyond there being a number of choices each with very different strengths, the parameters for your decision have also changed. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Today, data is constantly growing in complexity and quantity. Ensuring your users consistently find reliable answers from their dashboards and reports for informed decision-making can be difficult if you don't actively guide them on on how to optimally use the analytics tools you provide. However, the challenge is exacerbated by the fact most BI solutions on the market today still tailor their tools to experienced analysts first.

In keeping with tradition, we’ve chowed our way through the entire all-you-can-eat buffet of Kafka Summit Europe 2021 talks to bring you the best content to catch up on. Jay Kreps’ keynote this year addresses a few Kafka-shaped elephants in the room, as well as an overall shift in the way event-driven business is surfacing. On the technology front, Confluent announced new support for Kubernetes as an orchestration layer running on Kafka in a private cloud.

Today, the rate of innovation around data processing has accelerated beyond what any of us previously thought possible. Databricks recently announced their Databricks SQL offering, which is the next step in this evolution and builds on the foundation of Delta Lake to deliver interactive analytics at scale. This offering pairs with ThoughtSpot’s Modern Analytics Cloud to empower everyone in an organization to find answers to their questions with simple access to the data lake.

A long time ago, we started building software, basic calculator stuff. Small, uncluttered, and light software. Then we increased the size, complexity, and dependencies. As the complexities of the software applications increased, the need for software testing became more and more apparent. That was when Manual testing of software applications came into being. Soon, when the software was big and hefty, manual testing became a hectic and time-consuming job too.