Data Quality and data integrity are both important aspects of data analytics. With the rapid development of data analytics, data can be considered one of the most important assets a business owns. As a result, many organizations collect massive amounts of data for research and marketing purposes. However, the value of this data depends on […]
Data Lineage Tools: An Overview
Data lineage is the process of tracking and tracing data from its origin to its destination. It provides a detailed understanding of how data moves through an organization’s systems, applications, and processes. Organizations can use this information to maintain Data Quality, ensure regulatory compliance, and improve decision-making. Data lineage also helps organizations identify potential bottlenecks and inefficiencies […]
The Fundamentals of Data Integration
Data integration uses both technical and business processes to merge data from different sources, helping people access useful and valuable information efficiently. A well-thought-out data integration solution can deliver trusted data from a variety of sources. Data integration is gaining more traction within the business world due to the exploding volume of data and the […]
Distributed Data Architecture Patterns Explained
Distributed data architecture, models using multiple platforms, and processes for data-driven goals continue to generate increased interest. As William McKnight, president of McKnight Consulting Group (MCG) and well-known data architecture advisor, says, “Seldom a database vendor does not interact with concepts around distributed data architectures: the data lakehouse, data mesh, data fabric, and data cloud, and I am […]
Understanding Data Mesh Principles
ThoughtWorks consultant Zhamak Dehghani defines data mesh as a “decentralized sociotechnical approach to sharing, accessing, and managing analytical data in complex and large-scale environments – within or across organizations.” This type of Data Architecture continues to generate interest among corporations, and data professionals will need to become familiar with data mesh architectures, such as those with data lakes or warehouses. […]
Data Observability: What It Is and Why It Matters
As a process, data observability is used by businesses working with massive amounts of data. Many large, modern organizations try to monitor their data using a variety of applications and tools. Unfortunately, few businesses develop the visibility necessary for a realistic overview. Data observability provides that overview, to eliminate data flow problems as quickly as […]
Common Types of Cloud Computing
Before the cloud era, businesses had to rely on in-house data centers and internal hardware and software infrastructures to conduct online business. Organizations had to make substantial investments to set up their websites and networks. Additionally, each business had to hire the right people to manage and monitor their infrastructures. This approach not only added to the […]
Data Warehouse vs. Data Lakehouse
The phrase “data warehouse vs. data lakehouse” offers an exciting topic for ongoing debate in the global Data Management world. While businesses have relied on traditional data warehouses for storing structured and semi-structured data for years, the more recent technological solution of the data lakehouse is growing in importance because of its unique ability to provide structure to raw data. […]
Data Fabric Use Cases
Data is expanding in volume, variety, and sources; therefore, so is the business need for trustworthy, accurate, and timely data for on-demand “competitive intelligence.” Data fabric use cases offer a long-range technological solution for handling the myriad challenges that come with such a complex data ecosystem. This “converged platform,” designed with a unique architecture and […]
A Brief History of the Data Warehouse
A data warehouse stores data from in-house systems and various outside sources. Data warehouses are designed to support the decision-making process through data collection, consolidation, analytics, and research. They can be used in analyzing a specific subject area, such as “sales,” and are an important part of modern business intelligence. The architecture for data warehouses was […]