According to a new press release, data lakehouse platform Dremio unveiled AI-powered data discovery capabilities to enhance data contextualization and simplify analytics. Building on its generative AI text-to-SQL features, Dremio now incorporates GenAI-powered data documentation and labeling, reducing manual effort and providing comprehensive business context for analytics. This positions Dremio as an accessible analytics platform, […]
7 Data Democratization Trends to Watch
Enterprises all around the world are relying on analytics to provide the insights they need to streamline operations and delight their customers. However, making the right data available to the right people at the right time is becoming more and more challenging. While the ability to perform analytics on huge volumes of data is beefing up […]
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 […]
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 […]
How to Become a Data Quality Analyst
Data quality refers to the planning and implementation of quality management measures for the data that companies generate. The idea is that the data should fit the end goal of the data consumer’s needs – and must follow specific quality dimensions to be deemed fit for use. The role of a data quality analyst (DQA) is to ensure […]
Best Practices for Managing a Data Fabric
When data is not viable for integration across systems and processes, business users will seldom have the right coverage of data. If people lack knowledge about data and its importance logically, it often becomes a challenge, which leads to less impactful decisions. A data fabric is an architectural capability that can give organizations a “data […]
Modern Data Security: Protecting Your Sensitive Data from Insider Threats
Companies face no shortage of data security threats. From malware to phishing, DOS attacks to ransomware, keeping your most important asset – your data – safe from malicious actors is no easy feat. Yet companies so often focus on protecting themselves against external threats that they may ignore what’s lurking behind their own office doors. […]
Evaluating Data Lakes vs. Data Warehouses
While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences. This article will highlight the differences between each and how […]
Data Governance Without Security Leaves Sensitive Data Exposed
“Data Governance” is such an interesting term. As data started becoming more critical to business in the last few years, this idea was introduced to define the business processes necessary to comply with regulatory requirements. But even more recently, heightened regulatory attention with GDPR and CCPA in 2018, persistent PII data breaches, and data centralization across enterprises have created […]
What Data Protection Will Look Like in 2022
Trying to protect sensitive data was a major concern for the enterprise in 2021, and it will continue to be in the coming new year. Whether it be ransomware, a data breach, or a compliance fine associated with one of the new data regulations, the risk around an organization’s data is going to increase as its […]