Data Analysis
Learn about analyzing data in data warehouses and related tools and technology.
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What is Big Data Architecture?
Big data architecture is the overarching system used to ingest and process enormous amounts of data (often referred to as "big data") so that it can be analyzed for business purposes.
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What is Business Intelligence?
Business intelligence (or BI) is a process used by companies to analyze their data and create actionable takeaways that impact the company’s performance.
Read blog postCreating a Data Strategy
This article will guide you through the kinds of questions you'll need to explore as you're planning your data strategy and starting to think about your data architecture.
Read blog postTop Data Science Tools
Learn about the best data science tools available to help you collect, store, analyze, and visualize your data, as well as incorporate the power and possibilities of machine learning.
Read blog postFueling the Modern Data Science Stack
Learn how Alooma bridges the distance between where your data currently sits to its potential in ML contained within S3, allowing you to gain access to your own data so that you can utilize ML and AI more effectively.
Read blog postHow Redash is Helping Alooma Sustain a Data Driven Culture
Alooma and Redash share the same mission: to liberate data and unleash its full potential.
Read blog postHarnessing real-time data to improve customer experience
An example of how we at Alooma use real-time data collected from multiple sources to gain insight into our customer's actions, and to improve customer hapiness.
Read blog postAmazon Athena - Initial Analysis
Everything you need to know about Amazon's latest announcement: Amazon Athena - an interactive query service for Amazon S3.
Read blog postMaking big data analysis accessible throughout your company
How to make everyone at your company data driven, regardless of their SQL knowledge.
Read blog post5 Valuable Resource on Custom Analytics
A mini-list of 5 brilliant blog posts on Custom Analytics
Read blog postAmazon Redshift for Custom Analytics - Full Guide
Learn how to build a custom analytics pipeline over Amazon Redshift with real-world examples of engagement, funnels, retention and customer value analyses.
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