Cloud-Based Data Engineering.Cloud-based data engineering involves designing, implementing, and managing data processing workflows and systems using cloud services. It involves leveraging cloud computing platforms' scalability, flexibility, and cost-effectiveness to store, process, and analyze large volumes of data. Cloud-based data engineering enables organizations t
What is data integration?The data integration process combines and consolidates data from disparate sources into a unified and coherent format. It involves harmonizing data structures, formats, and semantics to enable seamless data flow and analysis. Data integration aims to provide a comprehensive and unified view of data, facilitating improved decision-making, busin
Real time data processingDefinition and significance of real time data processingReal time data processing refers to analyzing and processing data in real-time as it is generated or received without significant delay. The process involves collecting data as soon as it is generated or gathered, transforming it, and analyzing it. This technique enables organizations to
Data Governance - OverviewData governance refers to managing and controlling an organization's data assets. It is all about the availability, usability, integrity, and security of the data available to the organization. It encompasses the policies, processes, and practices that ensure data collection, storage, usage, and protection throughout its lifecycle.Data Govern
Data Modeling - IntroductionData modeling is creating a visual representation of the data structures in a computer system. It involves identifying the various types of data to be stored, as well as the relationships between these data types.A data model can take many forms, including diagrams or other visual representations depicting the various data structures and th
What is a data pipeline?A data pipeline is a method to accept raw data from various sources, processes this data to convert it into meaningful information, and then push it into storage like a data lake or data warehouse.The best practice is to process the data to conduct the data transformations. Data needs to be filtered, masked, and aggregated. As the name suggeste
ETL (Extract Transform load) Best Practices - IntroductionEveryone reading this blog must agree that Data engineering is a vast domain nowadays with the growing amount of online and offline data. With the growing online data flow, fetching data from multiple sources to one place is a considerable challenge. The data integration process of extracting data from multiple
INTRODUCTION TO DATA ENGINEERING Data, data, and data. Go to the internet and search about data engineering, you will realize nowadays the concept of data engineering is been in the center of discussion. Massive amount of data is getting generated every day in most businesses today. This may include the data generated out of the stock market apps, customers' response
