Data transformation 101: Process and new technologies
The benefits, types, and processes of data transformation and how it contributes to data management, integration, and new technologies.
The benefits, types, and processes of data transformation and how it contributes to data management, integration, and new technologies.
In the era of big data and AI, harnessing weather data to predict, plan, and optimize various industries has become an indispensable practice. Today, we… Read More »Harnessing the power of weather data: A guide to actionable insights
Microsoft publicly endorsed Open AI, with ‘Copilot’ embedded in every single bit of the Microsoft stack. Behind the scenes, with everything closed source, nobody knew… Read More »The unannounced next-level partnership between Microsoft and Databricks
As companies gather seemingly endless data streams from an increasing number of sources, they start to amass an ecosystem of data storage, would-be end-users, and… Read More »Data observability vs data quality
High-quality app development can significantly drive your business growth and success while boosting customer satisfaction and bringing in more clients. However, with millions of apps… Read More »The Importance of Data Engineering for a Profitable App Development
An organization with 1000 employees, in 2022, has an average of 177 SaaS applications. Most of these applications store data relevant to their needs, However,… Read More »Modern data quality approach
There is no denying that Artificial Intelligence is revolutionizing the business landscape in almost every industry. With the advent of new possible applications and the… Read More »Personalization and precision marketing: Revenue streams in CPGs through AI
The goal of a data quality program is to build trust in data. However, trust is an expansive, and often ill-defined term that can include… Read More »Top 4 Benefits of Modern Data Quality
Warning: very long, 2-part blog series. But this topic is too important to not carefully explain how we can educate and empower everyone to participate… Read More »AI for Everyone: Learn How to Think Like a Data Scientist – Part 1
Discover the differences between AI, machine learning, and deep learning in this comprehensive guide. Learn how each technology works, their key applications, and the skills required for a career in data science.