Advertisement

Modeling Modern Knowledge Graphs

In the buzzing world of data architectures, one term seems to unite some previously contending buzzy paradigms. That term is “knowledge graphs.”  In this post, we will dive into the scope of knowledge graphs, which is maturing as we speak. First, let us look back. “Knowledge graph” is not a new term; see for yourself […]

Spark vs. Flink: Key Differences and How to Choose

Apache Spark is an open-source, distributed computing system that provides a fast and scalable framework for big data processing and analytics. The Spark architecture is designed to handle data processing tasks across large clusters of computers, offering fault tolerance, parallel processing, and in-memory data storage capabilities.  Spark supports various programming languages, such as Python (via […]

Leveraging Data Stream Processing to Improve Real-Time Data Analysis 

Data stream processing is rapidly emerging as a critical technology for modernizing enterprise applications and improving real-time data analysis for data-driven applications. As businesses become more reliant on real-time data analysis, data stream processing enables them to analyze and process large amounts of data in real time, providing timely insights and enabling informed decision-making. Traditionally, […]

Is Low-Code and No-Code Development the Solution to Your Productivity Dilemma?

Enterprises’ growing need for quality Data Management and productivity tools has led to an explosion of interest in emerging technologies, such as low-code and no-code platforms, to accelerate their digital transformation objectives. Businesses encumbered by legacy infrastructure must make significant investments and decide whether to buy their technology or build it internally. With both options, fast assembly […]

Best Practices in Data Pipeline Test Automation

Data integration processes benefit from automated testing just like any other software. Yet finding a data pipeline project with a suitable set of automated tests is rare. Even when a project has many tests, they are often unstructured, do not communicate their purpose, and are hard to run. A characteristic of data pipeline development is the frequent […]

How to Select the Right Database

In today’s data-driven world, technologies are changing very rapidly, and databases are no exception to this. The current database market offers hundreds of databases, all of them varying in data models, usage, performance, concurrency, scalability, security, and the amount of supplier support provided.  Choosing a database is a different class of challenge. Selecting the right […]