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A Beginner’s Guide to Data Warehousing

Unite.AI

This article will explore data warehousing, its architecture types, key components, benefits, and challenges. What is Data Warehousing? Data warehousing is a data management system to support Business Intelligence (BI) operations. It can handle vast amounts of data and facilitate complex queries.

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How Twilio generated SQL using Looker Modeling Language data with Amazon Bedrock

AWS Machine Learning Blog

RAG optimizes language model outputs by extending the models’ capabilities to specific domains or an organization’s internal data for tailored responses. This post highlights how Twilio enabled natural language-driven data exploration of business intelligence (BI) data with RAG and Amazon Bedrock.

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Differentiation: Microsoft Fabric vs Power BI

Pickl AI

Power BI is a dynamic business intelligence and analytics platform that transforms raw data into actionable insights through powerful visualisations and reports. Developed by Microsoft, it is designed to simplify Data Analysis for users at all levels, from beginners to advanced analysts. What is Power BI?

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Use of Elasticsearch: Implementation and Importance

Pickl AI

It enables fast, efficient full-text search, real-time Data Analysis , and scalable data retrieval across large datasets. Known for its speed and flexibility, Elasticsearch is widely used in applications where quick access to data is critical, such as e-commerce search, log analysis, and Business Intelligence.

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10 Best Data Engineering Books [Beginners to Advanced]

Pickl AI

The key sectors where Data Engineering has a major contribution include IT, Internet/eCommerce, and Banking & Insurance. Salary of a Data Engineer ranges between ₹ 3.1 Data Storage: Storing the collected data in various storage systems, such as relational databases, NoSQL databases, data lakes, or data warehouses.

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Splunk Tutorial For Beginners: It’s Application & Features

Pickl AI

Data Analysis is significant as it helps accurately assess data that drive data-driven decisions. Different tools are available in the market that help in the process of analysis. It is a powerful and widely-used platform that revolutionises how organisations analyse and derive insights from their data.

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Popular Data Transformation Tools: Importance and Best Practices

Pickl AI

Inconsistent or unstructured data can lead to faulty insights, so transformation helps standardise data, ensuring it aligns with the requirements of Analytics, Machine Learning , or Business Intelligence tools. This makes drawing actionable insights, spotting patterns, and making data-driven decisions easier.

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