Topic: data management

In an era where data is heralded as the new oil, there’s an inconvenient truth that many organizations are just beginning to confront: it is therefore important to realize that not all data is equal. With the increasing digitalization of the economy and an imperative to increasingly rely on data in products and services, the focus has been traditionally on the sheer amount of data that can be gathered to feed analytics, provide clients with personalized experiences, and inform strategic actions....

Data lineage tools are sophisticated software designed for complete data management within the organizational context. These tools’ primary role is to systematically record and illustrate the course of data elements from their source through various stages of processing and modification, ultimately reaching the pinnacle in their consumption or storage. They can help your organization to understand and manage data. However, currently, you will find a lot of data lineage tool alternatives out ther...

As organizations continue doubling their reliance on data, the question of having credible data becomes more and more important. However, with the increase in volume and variety of the data, high quality and keeping track of where the data is coming from and how it is being transformed become essential for building credibility with the data. This blog is about data quality and data lineage and how both concepts contribute to the creation of a rock-solid foundation of trust and reliability in any...

It must be noted that the existence of lakehouse architectures has brought some substantial changes in the data architecture landscape. In this evolution process, organizations are still struggling on how to handle complex and diverse data management, to which the answer is the lakehouse model. Lakehouses can be viewed as a better integration of data lakes and data warehouses to provide improved data management systems. This blog post delves into the further evolution of lakehouse architecture a...

Azra AI, a healthtech leader harnessing artificial intelligence (AI) and workflow automation to accelerate the identification and treatment of cancer, today announced a strategic partnership with Registry Partners, a premier provider of healthcare data collection and registry management services. This collaboration aims to transform oncology data management and optimize Cancer Registry operations by integrating cutting-edge technology with expert human services. The U.S. healthcare system is ...

In the context of the increasing prominence of decisions based on big data, companies are perpetually looking for the best approaches to effectively utilize their data resources truly. Introduce the idea of Unified Data Fabric (UDF), a new and exciting proposition that provides a unified view of data and the surrounding ecosystem. In this blog, we will uncover what UDF is, its advantages and thinking why it is set out to transform the way companies work with data. What is Unified Data Fabric?...

Data veracity and quality are equally essential in the current world that is characterized by unbounded data generation and utilization. Analyzing the information being used in the operations of companies today, it is apparent that businesses have developed a high dependence on data, hence the need to make it accurate and reliable. Two ideas central to this effort are data governance and lineage. Data availability, usability, integrity, and security of data within an organization can collectivel...

What are some common challenges and issues businesses face with code optimization when implementing AI solutions? Businesses implementing AI solutions often encounter several challenges with code optimization, mainly due to the dynamic and complex nature of AI systems compared to traditional software optimization. Achieving optimal AI performance requires a delicate balance between code, model, and data, making the process intricate and multifaceted. This complexity is compounded by the need ...

In the evolving landscape of data management, age-old approaches are gradually being outpaced to match the demands of modern organizations. Enter as a savior: Data Mesh, a revolutionary concept that modern organizations harness to reshape their business models and implement “data-driven decisions.” Therefore, understanding and implementing Data Mesh principles is essential for IT professionals steering this transformative journey. At its core, data mesh is not just a technology but a strategi...

Data Management In today's digital age, data is a critical asset for organizations, driving decision-making, innovation, and competitive advantage. However, the sheer volume and complexity of data require specialized skills and expertise to manage effectively. Enter the data management specialist, a key player in ensuring that data is accurate, accessible, and secure. This article explores the role of a data management specialist, their responsibilities, skills required, and the evolving landsca...

As we have stepped into the digital world, data science is one of the most emerging technologies in the IT industry, as it aids in creating models that are trained on past data and are used to make data-driven decisions for the business. With time, IT companies can understand the importance of data literacy and security and are eager to hire data professionals who can help them develop strategies for data collection, analysis, and segregation. So learning the appropriate data science skills i...

As we have stepped into the realm of 2024, the artificial intelligence and data landscape is growing up for further transformation, which will drive technological advancements and marketing trends and understand enterprises’ needs. The introduction of ChatGPT in 2022 has produced different types of primary and secondary effects on semantic technology, which is helping IT organizations understand the language and its underlying structure. For instance, the semantic web and natural language pro...