Read everything about data transformation encompassing SQL, GUI, Scala, and Python, to get clean and structured data for your decision-making process. We delve into the technology and which is best for what project.
Businesses become competitive, once they avoid guesswork, create an environment for data-driven decisions, and use data from analytics platforms in their operational use cases. This is how you can excel.
In this post, we describe how we built a pipeline for the type of “incoming data” situation, and how we came up with a good solution in the end.
Scala 3 gives you the tools to design the perfect Spark API. We proved it by creating the open-source library Iskra.
Data Mesh has been founded on four key principles that revolutionized data management. It focuses on decentralization, domain-oriented teams, data-as-a-product, self-serve platform, and federated governance.
Large Language Models can revolutionize how programmers seek assistance. We tested them on Scala documentation and present the results here.
Data is a critical asset that provides valuable insights into customer behavior, market trends, and operational efficiency. However, managing big data can be a challenge. Businesses that struggle to do so effectively may face increased costs and missed growth opportunities. One way to stay competitive and grow is through gradual engineering improvements.
As business needs and market trends change, Hadoop and cloud data platforms will evolve together. Will Hadoop remain a data solution companies rely on?