What Is Data Engineering? Responsibilities & Tools
Data engineering makes data more useful and accessible by sourcing & preparing the data to be handled by data scientists. Learn more about the responsibilities.
Evolution of Data Warehouse Architecture (Pic source: Databricks) With the evolution of scalable cloud technology and exponential growth of digital technologies, the preferred Data Warehouse (DW) a…
Chapter 1. Introduction to Data Lakes Data-driven decision making is changing how we work and live. From data science, machine learning, and advanced analytics to real-time dashboards, decision makers are … - Selection from The Enterprise Big Data Lake [Book]
Data Engineering and Its Main Concepts: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role
Sharing top billing on the list of data science capabilities, machine learning and artificial intelligence are not just buzzwords – many organizations are eag
dbdiagram.io Release Notes and Roadmap. dbdiagram is a quick and simple free tool to help you draw your database relationship diagrams and flow quickly using simple DSL language.
In this article we will explore how to create custom stored procedures using R which is basically an R function that can be called from a SQL Server stored procedure.
DB Connection Pools: Essential Knowledge for Web Developers
Typical data-driven web apps need a Database (DB) connection to render almost every page or to serve every API call. For scalability reasons, Web Server and Database servers are hosted on different Machines.