“Data observability” can be described as the practice of monitoring the “health and state” of data pipelines in your system. This practice encompasses some technologies and activities that enable business operators to identify, examine, and solve data-related problems in near real time. Though organizations rely heavily on accurate and reliable data to make informed decisions, […]
Choosing Tools for Data Pipeline Test Automation (Part 1)
Those who want to design universal data pipelines and ETL testing tools face a tough challenge because of the vastness and variety of technologies: Each data pipeline platform embodies a unique philosophy, architectural design, and set of operations. Some platforms are centered around batch processing, while others are centered around real-time streaming. While the nuances […]
Maximizing IT Investments and Enhancing End-User Experience with Data
In an age defined by data-driven decision-making, where 91.9% of organizations have already leveraged analytics to enhance their operations, a question remains: What if there were even more sources of untapped data, capable of helping businesses increase the quality of the end-user experience and elevating the functionality of systems, applications, and cloud investments within their business? This is […]
Why Are Companies Demanding DLP Functionality?
In an age where data breaches, cyber threats, and privacy violations are commonplace, companies are placing greater emphasis on safeguarding their digital assets. Data Loss Prevention (DLP) functionality has emerged as a critical tool in this endeavor. Although we all understand the consequences and the benefits of protecting data, it is interesting to delve into what’s […]
How Low-Code FileOps Ensures a Seamless Digital Transformation
In an era where data stands as the driving force behind the sweeping wave of digital transformation and GenAI initiatives, FileOps is emerging as a true game-changer. Defined as a low-code/no-code methodology for performing and streamlining file operations, FileOps enables organizations to expedite their digital transformation and GenAI initiatives by empowering them to effectively manage […]
Sumo Logic Announces Fully Unified Data Collection on Kubernetes Clusters
According to a new press release, Sumo Logic has introduced its HELM Chart V4 feature, designed to fully unify data collection, as part of its commitment to OpenTelemetry (OTel). With this new feature, organizations can easily package, configure, and deploy applications and services on Kubernetes clusters, using OpenTelemetry as the default collection method. This approach […]
Elements of a Modern Data Warehouse
Businesses are generating vast amounts of information every second. Traditional data warehouses, which were once considered the gold standard for handling and analyzing large datasets, are struggling to keep up with the rapid pace of data growth and evolving analytics requirements. This has given rise to the concept of modern data warehouse, which provides a […]
AI at the Edge: Creating a Successful Strategy
The recent hype surrounding AI makes every organization feel like they must rethink their strategy to ensure they are aligned with the market expectations and not let the competition gain an advantage. AI has been in the news for a while, but when ChatGPT was introduced, people outside of business started to explore the technology […]
5 FinOps Best Practices You Should Not Ignore
FinOps, or Financial Operations, is a relatively new term that has been gaining traction in the business world. It represents a cultural shift in the way organizations manage their finances, especially in the context of cloud computing. FinOps is a collaborative approach that brings together finance, operations, and engineering teams to manage and control cloud […]
What Is Data Architecture? Components and Uses
Data Architecture describes the infrastructure that connects a Business Strategy and Data Strategy with technical execution. Ideally, Data Architecture happens within a systematic framework, providing a foundation for people and systems to work with data. Three types of components underlie the architecture infrastructure and connect to drive insights, make data-driven decisions, and manage risk. They include: Specific examples of […]