Blog All Machine Learning Business Analysis Consultancy Artificial Intelligence DevOps Solutions Architect Delivery Manager Rozwój w PGS Data science Cloud Software Development Quality Assurance Design News Events AWS Data Pipeline AWS Glue AWS Data Pipeline vs. AWS Glue: Which One is Better? AWS Glue and AWS Data Pipeline have a lot in common. The primary goal of both solutions is to move data. Many of their use cases overlap. However, there are also fundamental differences. In this entry, we're comparing both services to help you choose which is better suited to… Cloud Developer Data Engineer Data Scientist DevOps SRE A Guide to Understanding New IT Roles – DevOps, SRE, Cloud Developer, and More Up until recently, it was easy to define the responsibilities of a given IT role. After all, most IT experts were just plain software engineers. However, the last decade witnessed the development of multiple new expert roles, like the DevOps Engineer, Cloud Developer, Data Engineer, Data Scientist, and more. This article will help you to understand them. data Data Acquisition Data Acquisition – Why Is It Important? In many instances, data can become the fuel that will sky-rocket your operations. However, to make this scenario possible, you’ll need the key ingredient – good data. To help you with that, we’ll explain the details behind the various ways to acquire data. Data Lake Data Warehouse Data Lake vs Data Warehouse – Which to Pick in 2022? In the late 1980s, IBM researchers developed the idea of the “business data warehouse”. Since then, data warehouses (DWHs) have become an increasingly important data repository. Yet, the market also offers alternatives – like the data lake. In this blog post, we’re going to compare these two systems to help you pick the one best suited to your needs. Data Lake Data Storage How Is the Data Lake Doing in 2021? The Data Lake isn't new – the term itself has been first used in 2010. After its premiere, it's been met with mixed reviews. The late Dave Needle (Amiga 1000 co-chief architect) characterized the “so-called data lakes” as “one of the more controversial ways to manage big data”. And in 2016, Forbes published an article entitled “Why Data Lakes Are Evil”. However, the response to data lakes hasn’t been universally bad. Many have viewed data lakes as a sort of data panacea. So, which perspective is closer to the truth in 2021? Read this article to find out! data engineering data science Data Engineer vs Data Scientist – What’s the Difference? People unfamiliar with data operations sometimes ask – is a data engineer the same as a data scientist? The answer is obviously no. However, these roles share major similarities which make them intertwined. To help you get the whole picture, we’ll explain the difference in more detail. Data Engineering Tools ETL Hadoop Python sql Top Data Engineering Tools and Technologies Data engineers have a wide array of responsibilities. Usually, their main job is to make data useful and accessible to other data professionals. Yet, none of their tasks can’t be performed without the proper tooling. That’s why in this article, our data expert is taking you on a journey through the core data engineering tools. With these tools, you’ll be well-equipped to complete all of the key data engineering endeavours. Search Try typing at least two letters. Try typing at least two letters. Popular posts AWS Data Pipeline vs. AWS Glue: Which One is Better? A Guide to Understanding New IT Roles – DevOps, SRE, Cloud Developer, and More Data Acquisition – Why Is It Important? Data Lake vs Data Warehouse – Which to Pick in 2022? 12345>
