Remove 2021 Remove Data Warehouse Remove Modeling 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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Data Modeling 101: OLTP data modeling, design, and normalization for the cloud

erwin

How to create a solid foundation for data modeling of OLTP systems. As you undertake a cloud database migration , a best practice is to perform data modeling as the foundation for well-designed OLTP databases. This makes mastering basic data modeling techniques and avoiding common pitfalls imperative.

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Announcing the 2021 Data Impact Awards

Cloudera

And it is with this in mind, that we’re delighted to announce that the 2021 Cloudera Data Impact Awards is now open for entries. The 2021 Cloudera Data Impact Award categories aim to recognize organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact.

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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

In 2020, as gyms shuttered and people looked for ways to stay active from the safety of their homes, the company’s annual revenue soared from $915 million in 2019 to $4 billion in 2021. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20. million at the end of 2022.

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Data Modeling 401 for the cloud: Database design for serverless data-bases in the cloud

erwin

As with part 1 , part 2 ,and part 3 of this data modeling blog series, this blog also stresses that the cloud is not nirvana. Data modeling best practices. So, good relational design as covered in part 1 of this data modeling blog series holds true. Yes, it offers essentially infinitely scalable resources.