A 2021 Educase report shows that 75% of surveyed institutions have started or are planning extensive digital transformation strategies to improve their data utilization. The importance of a strategic approach to data utilization in this context cannot be overstated. Effective data management frameworks ensure that data across the institution is accurate, consistent, and used in alignment with internal policies and external regulations.

Data ingestion is important in collecting and transferring data from various sources to storage or processing systems. In this blog, we compare the best data ingestion tools available in the market in 2024. We will cover their features and pros and cons to help you select the best software for your use-case.

Table of Contents April 23, 2024 insightsoftware is a global provider of reporting, analytics, and performance management solutions, empowering organizations to unlock business data and transform the way finance and data teams operate. You’ve just decided to start using Qlik within your team. Amazing!

The microapp trend is on the rise! In the approximately two years since joining the DreamFactory team, I’d estimate I’ve conversed with more than one thousand companies about their API-based projects. These conversations provide a great opportunity to peer inside the IT operations of organizations large and small, not to mention pick up on emerging technology trends.

Erlang is renowned for its remarkable fault tolerance and high concurrency. Erlang's scheduler efficiently handles many lightweight processes. The scheduler plays a crucial role in managing processes, concurrency, and system resources, efficiently coordinating these elements to help Erlang maintain fault tolerance and support high levels of concurrency in its applications. This post will dissect some of the scheduler's key components and shed light on how it works internally. Let's get started!

The ability to record and see everything happening across your web applications is essential when building resilient and highly available systems. All of your events—from application logs to errors to user behavior—contain data that could be useful to you and your team. When you have a central place to access all this information, finding issues and their root causes becomes easier because you have the data at your fingertips.

Metadata governance is the systematic approach to managing metadata, or data about data, to ensure it is accurate, consistently formatted, and securely stored. The main goal of metadata governance is to improve data quality, ensure data privacy, and streamline metadata management. As metadata provides the necessary details about data, such as when it was created, by whom, and its content or purpose, it becomes easier for employees to find, understand, and trust the data they use.

No matter their size, all organizations rely heavily on the data they collect and manage. This data ranges from customer information to sales records, employee performance, and more. However, if this data is inaccurate, outdated, or incomplete, it becomes more of a liability than an asset, making it more important to measure its health. To do so, they need data quality metrics relevant to their specific needs.

Developing microservices destined to run in Kubernetes presents a unique set of challenges. In this blog post, we’ll explore a new approach leveraging Codezero in order to enhance both productivity and security.

Enterprises have complex IT and technology needs. To reach business goals, organizations must often stitch together a patchwork of software and IT systems. So, it’s understandable that the thought of adding yet another technology—low-code—might cause trepidation. But low-code excels at integrating seamlessly with any technology. Low-code tools speed up development work and enable rapid application development.