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Diving Deep into OLAP: Unveiling the Power of Multidimensional Data Analysis

Pickl AI

Summary: Online Analytical Processing (OLAP) systems in Data Warehouse enable complex Data Analysis by organizing information into multidimensional structures. Key characteristics include fast query performance, interactive analysis, hierarchical data organization, and support for multiple users.

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Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

AWS Machine Learning Blog

In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them. They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference.

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Understanding SQL language: The backbone of relational databases

Dataconomy

The SQL language, or Structured Query Language, is essential for managing and manipulating relational databases. It has become indispensable for those working with data across various industries. Introduction to SQL language SQL language stands for Structured Query Language. Why learn SQL language?

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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. Download all three sample data files. You’ll use this file when setting up your function to query sales data.

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How Exploratory Data Analysis Helped Me Solve Million-Dollar Business Problems

Towards AI

In the increasingly competitive world, understanding the data and taking quicker actions based on that help create differentiation for the organization to stay ahead! It is used to discover trends [2], patterns, relationships, and anomalies in data, and can help inform the development of more complex models [3].

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An integrated experience for all your data and AI with Amazon SageMaker Unified Studio (preview)

Flipboard

SageMaker Unied Studio is an integrated development environment (IDE) for data, analytics, and AI. Discover your data and put it to work using familiar AWS tools to complete end-to-end development workflows, including data analysis, data processing, model training, generative AI app building, and more, in a single governed environment.

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Simplifying Semi-Structured Data Analysis With Alteryx & Snowflake

phData

Alteryx provides powerful features, such as its JSON Parser, which can help analyze VARIANT data type fields from Snowflake. This versatile data type can store semi-structured data, allowing for flexibility in handling various data formats within a single column.