Remove 2021 Remove Cost-Benefit Remove Data Warehouse Remove Reporting
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5 misconceptions about cloud data warehouses

IBM Big Data Hub

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

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Data Modeling 201 for the cloud: designing databases for data warehouses

erwin

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS.

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Why optimize your warehouse with a data lakehouse strategy

IBM Big Data Hub

We also made the case that query and reporting, provided by big data engines such as Presto, need to work with the Spark infrastructure framework to support advanced analytics and complex enterprise data decision-making. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

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Peloton embraces Amazon Redshift to unlock the power of data during changing times

AWS Big Data

Credit: Phil Goldstein Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20.

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

datapine

A host of notable brands and retailers with colossal inventories and multiple site pages use SQL to enhance their site’s structure functionality and MySQL reporting processes. Whether you need to write database applications, perform administrative tasks or utilize a SQL report builder , this book is amongst the best books to learn SQL.

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Data Modeling 101: OLTP data modeling, design, and normalization for the cloud

erwin

Data modeling helps you right-size cloud migrations for cost savings. The cloud offers infinitely scalable resources – but, at a cost. Static overprovisioning or dynamic scaling will run up monthly cloud costs very quickly on a bad design. So that’s $136,000 per year just to run this one data warehouse in the cloud.

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

datapine

By asking the right questions, utilizing sales analytics software that will enable you to mine, manipulate and manage voluminous sets of data, generating insights will become much easier. Before starting any business venture, you need to make the most crucial step: prepare your data for any type of serious analysis.

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