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Most Frequently Asked Data Warehouse Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Organizations are turning to cloud-based technology for efficient data collecting, reporting, and analysis in today’s fast-changing business environment. Data and analytics have become critical for firms to remain competitive.

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How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Big Data Hub

Macmillan Publishers is a global publishing company and one of the “Big Five” English language publishers. They published many perennial favorites including Kristin Hannah’s The Nightingale , Bill Martin’s Brown Bear, Brown Bear, what do you see?

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Centralize near-real-time governance through alerts on Amazon Redshift data warehouses for sensitive queries

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers.

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Automate deployment of an Amazon QuickSight analysis connecting to an Amazon Redshift data warehouse with an AWS CloudFormation template

AWS Big Data

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

Grafana provides powerful customizable dashboards to view pipeline health. QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. Sample AWS CDK template This post provides a sample AWS CDK template for a dashboard using AWS Glue observability metrics.

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Sisense’s Q2 Release: A Modern Data Experience Across the Analytics Continuum

Sisense

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses. Additional capabilities.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

With a MySQL dashboard builder , for example, you can connect all the data with a few clicks. Our next book is dedicated to anyone who wants to start a career as a data scientist and is looking to get all the knowledge and skills in a way that is accessible and well-structured. 4) “SQL Performance Explained” by Markus Winand.