Microsoft SQL is a popular relational database management system organizations use to manage and store data. As data volumes grow, extracting, transforming, and loading data has become essential for many businesses.

Data integration is essential for any competitive business. The ability to sync all your data from disparate sources powers better insights, analysis, and ultimately faster business decision-making. Change data capture (CDC) is one element of data integration that focuses on keeping data accurate with near real-time updates as soon as data within a data source changes.

Amazon Simple Storage Service (Amazon S3) is a cloud-based object storage service from Amazon Web Services that collects data from anywhere on the internet. In today's data-driven world, businesses rely heavily on seamless data integration and transformation processes to unlock the full potential of their vast data resources. But what happens if you want to move data from Amazon S3 to a data warehouse for analysis?

As software testers, we are not just cogs in a machine, executing tests, writing reports, and meeting deadlines. We are professionals who can make a difference in the world. We can find purpose in our testing and use it as a guiding light through the challenges we face. Kristel Kruustük, the founder of Testlio, is living proof that finding a bigger sense of meaning and purpose can transform not only our work but also our lives.

Keboola, a self-service data operations platform, has raised USD $32 million in a Series A funding round, led by the private equity business of Viking Global Investors. Keboola’s mission is to connect and integrate all company data in one end-to-end Data Stack as a Service. This new approach to the Data Stack puts customers in full control of their data with a single platform. The significant funding builds on a USD $5 million Seed round closed in 2022.

Welcome back to Loadero’s monthly updates! As we didn’t have as much to share last month, this time we are coming to you with updates from the past two months. Before we get into product updates, we are very excited to announce that Loadero is now ISO certified and we have acquired ISO 9001 (Quality Management), ISO/IEC 27001 (Information Security), and ISO 22301 (Business Continuity) certifications!

Like peanut butter and jelly, ETL and data modeling are a winning combo. Data modeling can't exist without ETL, and ETL can't exist with data modeling. Not if you want to model data properly. Combining the two defines the rules for data transformations and preps data for big data analytics. In the age of big data, businesses can learn more than ever about their customers, identify new product opportunities, and so on.

Commercializing an AI-based product requires turning technology into a marketable product, navigating challenges from development to market entry. Appealing to enterprise buyers is crucial for sustainable, continuous growth, as their interest not only validates your product’s value but also lays the foundation for long-term success and scalability. More specifically, the larger the businesses of your potential customers are, the more of a monopoly your product likely has in the market.

When monetizing APIs, specific ways exist to entice customers to begin using your services. Much of the time, users like to see some value before they commit to becoming a full-blown paid customer. One of the most popular billing providers we see used for API monetization is Stripe, and thankfully, Stripe supports free trial models. Paired with Moesif, you can easily adhere to what model you require to support your API monetization needs.

In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively. These government-led efforts have had a profound impact on the development and adoption of AI solutions in the public sector, paving the way for a future where data-driven decision-making and automation are the norm.