As organizations increasingly move towards cloud-based data solutions, choosing the right platform for data processing, analytics, and storage becomes critical. Microsoft Fabric, AWS, GCP, and Snowflake are among the top contenders in this space. Each offers unique capabilities, but which one is best suited for your business needs? Let’s compare them across key factors. 1. Overview of Each Platform Microsoft Fabric Microsoft Fabric is a unified analytics platform that integrates multiple services like Azure Data Factory, Synapse Analytics, Power BI, and AI/ML tools under one umbrella. It is designed for seamless data ingestion, transformation, storage, and visualization with deep integration… Read more
Category: BI Tools
OLTP & OLAP
OLAP stands for Online Analytical Processing. OLAP systems have the capability to analyze database information of multiple systems at the current time. The primary goal of OLAP Service is data analysis and not data processing. OLTP stands for Online Transaction Processing. OLTP has the work to administer day-to-day transactions in any organization. The main goal of OLTP is data processing not data analysis. ONLINE TRANSACTION PROCESSING SYSTEM (OLTP) EXAMPLE: ONLINE ANALYTICAL PROCESSING SYSTEM (OLAP) EXAMPLE: DIFFERENCE BETWEEN OLTP AND OLAP Data: Transaction: Normalization: Queries: Integrity:
Top 6 Business Intelligence Tools 2024
What are business intelligence tools? Business Intelligence (BI) tools are a diverse set of software applications, platforms, and solutions designed to extract, transform, and present data to support data analysis, trend identification, and strategic decision-making within an organization. Capabilities of BI tools: Data integration: BI tools can connect to and consolidate data from multiple different sources, such as databases, spreadsheets, and cloud-based applications. Data transformation: since data can come in many different formats, this aspect of BI tools is crucial for improving the compatibility and usability of the data. Users can transform data by cleaning, structuring, and aggregating it. Data visualization: the bread-and-butter… Read more