Systems | Development | Analytics | API | Testing

In an increasingly globalized world, businesses are exposed to risks more than ever before. With shrinking profit margins and increased competition, organizations need to be on their toes all the time to survive. That's where the importance of data comes in. The jury might still be out on whether data is the new oil. But the growing market of data analytics outsourcing tells you that more and more companies are investing in data analytic solutions to gain a competitive edge.

In older surveys, data scientists reported that data cleansing occupied around 60 percent of their time and that it was generally the “least enjoyable” part of their job. A few years later, data scientists are still putting a considerable amount of their working hours into data cleansing efforts.

From a high-level point of view, data migration is simple: moving data between two or more locations. Yet, in 2021, data migration is much more than moving a folder from one filing cabinet to another. In practice, migrating data is one of the trickiest and most complex data management initiatives for any IT department, especially if you want to follow data migration best practices.

If you own an e-commerce website, you need to remain competitive and increase your capabilities in the process. One of the latest and greatest solutions right now is to harness the power of reverse ETL. The abbreviation ETL stands for Extract, Transform, Load, and is one of the best ways to connect business apps and platforms. This ETL tool offers multiple opportunities to transfer your securely stored customer data from the modern data warehouse to multiple other apps and platforms.

With the amount of data being created yearly reaching in the dozens of zettabytes and growing rapidly from year to year, companies have had to find creative solutions to manage big data. That is why loading terabytes of data in minutes or seconds for processing may be absolutely necessary for some businesses. This is the kind of speed and functionality that BigQuery gives. So, what is BigQuery? The Google Cloud suite offers a wide variety of services for every industry.

Many developers are interested in developing an application programming interface (API) for their startup. However, they don't know where to start and what mistakes to avoid. In this blog post, we will explore some of the most common errors made by API developers and how you can prevent them.

In today's increasingly data-driven world, automation is a crucial skill for any professional. Data professionals can automate repetitive tasks and free up their time to focus on more valuable work. This article will discuss the four most common data automation techniques you can utilize in your own business and the automation tools that help your ETL process.

In the ever-changing business landscape, companies are becoming more reliant on their data than defining the Business Use Case ever before. With a greater reliance on data, it’s essential that businesses become aware of these two concepts: data modeling and data architecture.

Change data capture (CDC) is an essential feature to make modern data integration workflows faster and more efficient. By identifying which data sources have changed since you last extracted the information, CDC allows your data pipelines to only ingest the information they need. Rather than continuously polling an API, you can seamlessly perform data replication and integration.