A data lakehouse, in the simplest terms, combines the best functionalities of a data lake and a data warehouse. It offers a unified platform for seamlessly integrating both structured and unstructured data, providing businesses agility, scalability, and flexibility in their data analytics processes. Unlike traditional data warehouses that rely on rigid schemas for organizing and […]
Integrating AWS Data Lake and RDS MS SQL: A Guide to Writing and Retrieving Data Securely
Writing data to an AWS data lake and retrieving it to populate an AWS RDS MS SQL database involves several AWS services and a sequence of steps for data transfer and transformation. This process leverages AWS S3 for the data lake storage, AWS Glue for ETL operations, and AWS Lambda for orchestration. Here’s a detailed […]
How to Become a Data Engineer
The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of commonly used scripting languages and is expected to support the steady evolution of improved Data Quality, […]
Fundamentals of Data Virtualization
Organizations are increasingly employing innovative technology called “data virtualization” (DV) to tackle high volumes of data from varied sources. Data virtualization is widely used in enterprise resource planning (ERP), customer relationship management (CRM), and sales force automation (SFA) systems to collect and aggregate multi-source data. From multi-sourced data acquisition to advanced analytics, this technology seems […]
Data Provisioning: Ingest, Curate, and Publish
A collection of facts from which inferences can be made is called data. It is the basis on which factual information is derived, providing relevant results to the end users. Data is the cornerstone of contemporary society and is crucial to many facets of people’s lives. In order to gain knowledge and make wise decisions, […]
Distributed Data Architecture Patterns Explained
Distributed data architecture, models using multiple platforms, and processes for data-driven goals continue to generate increased interest. As William McKnight, president of McKnight Consulting Group (MCG) and well-known data architecture advisor, says, “Seldom a database vendor does not interact with concepts around distributed data architectures: the data lakehouse, data mesh, data fabric, and data cloud, and I am […]
Data Warehouse vs. Data Lakehouse
The phrase “data warehouse vs. data lakehouse” offers an exciting topic for ongoing debate in the global Data Management world. While businesses have relied on traditional data warehouses for storing structured and semi-structured data for years, the more recent technological solution of the data lakehouse is growing in importance because of its unique ability to provide structure to raw data. […]
A Brief History of the Data Warehouse
A data warehouse stores data from in-house systems and various outside sources. Data warehouses are designed to support the decision-making process through data collection, consolidation, analytics, and research. They can be used in analyzing a specific subject area, such as “sales,” and are an important part of modern business intelligence. The architecture for data warehouses was […]
Structured vs. Unstructured Data: An Overview
Structured data and unstructured data are both forms of data, but the first uses a single standardized format for storage, and the second does not. Structured data must be appropriately formatted (or reformatted) to provide a standardized data format before being stored, which is not a necessary step when storing unstructured data. The relational database […]
The Semantic Lakehouse Explained
Data lakes and semantic layers have been around for a long time – each living in their own walled gardens, tightly coupled to fairly narrow use cases. As data and analytics infrastructure migrates to the cloud, many are challenging how these foundational technology components fit in the modern data and analytics stack. In this article, […]