Data Quality (DQ) tools are software solutions that aid in cleaning data, improving data integrity, and ensuring the accuracy of information. Quality management is a key component of business intelligence and big data. Through Data Quality management, you can ensure that your organization’s data is accurate and relevant. These tools are frequently found within master data […]
How to Build a Career in Data Science
Considering a career in Data Science? Good news: The U.S. Bureau of Labor Statistics estimates that the employment rate for data scientists will grow by 36% between 2021 and 2031, with 40,500 more jobs expected to be created in that time. As the amount of data generated globally increases at a rapid pace, so too does the […]
What Is a Data Management Platform?
A Data Management platform (DMP) is a tool where all your data can be collated and stored. Given the vast amounts of data we generate these days, it has become a much-needed business requirement. Data Management platforms collate all your marketing, audience, and competitor data so that data analysis teams always have a reference point in place. […]
What Is a Data Governance Framework?
A Data Governance framework refers to the collection of rules, processes, roles, and tools organizations can use to achieve successful Data Governance. Implemented correctly, Data Governance directly correlates to an organization’s ability to manage its data while maintaining compliance standards and accessibility within the enterprise. With the vast amount of data generated each day, businesses must ensure […]
What Is a Data Lakehouse?
A data lakehouse is a data storage space containing unstructured and structured data. While data warehouses can store structured data and data lakes are designed for unstructured data, the data lakehouse was developed to provide a resource for both types of data. Data lakehouses allow users to combine the structure and features of a data warehouse with the low-cost […]
What Are Data Quality Dimensions?
Data Quality dimensions allow users to measure the quality of the data they have on hand and determine whether it can be used for business or if any further improvements must be made. Without using Data Quality (DQ) dimensions, it can be hard to gauge the value and usefulness of the data. These dimensions, or characteristics, need to be […]
What Is Data Mesh?
Data mesh is a type of organization and architectural paradigm, or – in simpler words – a distributed architecture for Data Management. The goal is to provide accessibility by distributing the data in the way that the end user needs it. It allows teams to embrace a self-serve data architecture design where they can look at data as […]
What Is Data Profiling?
Data profiling is the process of analyzing data to get a basic understanding of what it contains. It examines the data in tables or columns to determine values, patterns, and anomalies distribution. It’s essential to Data Quality Management because it helps business users understand their data and decide whether it meets their needs. You can perform […]
What Is Data Integrity?
Data integrity is the totality of a dataset’s validity and consistency over its entire life cycle. In other words, it refers to the correctness and trustworthiness of data. It can be applied to any dataset, from personal information to business records. Data is valid if it contains only correct (accurate) information and can be trusted (reliable). […]
What Are Data Governance Tools?
Data Governance is the practice of creating processes, frameworks, and roles to manage an organization’s data. With today’s data-driven organizations focusing more on generating enormous amounts of data and analyzing them to pivot their business, it has become crucial to manage data the right way. Data Governance tools are the software applications that help you get […]