What are data warehouses and databases? How are they different, and when should you use a data warehouse vs. database to store data? Below, we will look at the differences and similarities between them. What Is a Database? In a database, data is presented in a structured manner for easy access and manipulation. Vast amounts […]
Data Integration Tools
Data integration tools are used to collect data from external (and internal) sources, and to reformat, cleanse, and organize the collected data. The ultimate goal of data integration tools is to combine data from a variety of different sources, and provide their users with a single, standardized flow of data. Use of these tools helps […]
The Impact of Poor Data Quality (and How to Fix It)
The dangers of poor data quality can cause significant damage to a business. Poor-quality data can lead to poor customer relations, inaccurate analytics, and bad decisions, harming business performance. The sources of poor data quality may seem like a small issue, but the impact can easily become magnified as repeat errors and different types of […]
Building an Effective Data Strategy for Edge Deployments
Data analytics and integration are the key components of building a data strategy. For organizations to have an effective data strategy, it requires the definition of measurable metrics and proper consideration of all data sources. An effective data strategy also needs to define how data can be moved from various sources to a location where […]
Choosing Tools for Data Pipeline Test Automation (Part 2)
In part one of this blog post, we described why there are many challenges for developers of data pipeline testing tools (complexities of technologies, large variety of data structures and formats, and the need to support diverse CI/CD pipelines). More than 15 distinct categories of test tools that pipeline developers need were described. Part two delves […]
15 Essential Data Mining Techniques
Data mining techniques can be applied across various business domains such as operations, finance, sales, marketing, and supply chain management, among others. When executed effectively, data mining provides a trove of valuable information, empowering you to gain a competitive advantage through enhanced strategic decision-making. At its core, data mining is a method employed for the […]
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 […]
Top Data Migration Considerations for Data Teams
Organizations have become highly data-centric in the past years, increasing complications and costs as the volume of data rose. However, data integrity issues alone cost organizations $12.9 million annually, on average, according to Gartner. Because of this, data professionals have spent valuable time, resources, and brainpower on identifying and solving data issues rather than higher-value tasks. […]
10 Data Streaming Challenges Enterprises Face Today
Businesses are swamped with a flood of real-time data coming from sources such as websites, social media, digital activity records, various sensors, cloud technology, and numerous machines and gadgets. The list keeps getting longer. The need for immediate analysis and customer insights has pushed the growth of this kind of data sky-high. And with that […]
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 […]