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

AWS Big Data

During that same time, AWS has been focused on helping customers manage their ever-growing volumes of data with tools like Amazon Redshift , the first fully managed, petabyte-scale cloud data warehouse. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

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Backcountry modernizes for the cloud era

CIO Business Intelligence

Despite nearly $1 billion in online revenue in 2020, the web-based outdoor recreational retailer was running its entire business on an outdated and unsupported e-commerce platform called ADT. It got the basic job done but the company’s executive leadership team (ELT) knew it was time for a transformation.

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Four Factors to Consider when Migrating to Microsoft Business Central Online

Jet Global

Allocate Adequate Time and Budget For Reports. Companies implementing a new ERP system may spend as much as 25% of their total budget developing reports. With all the other tasks required to make an ERP implementation or upgrade successful, the added burden of migrating reports makes matters even worse.

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How FanDuel adopted a modern Amazon Redshift architecture to serve critical business workloads

AWS Big Data

In this post, we share how FanDuel moved from a DC2 nodes architecture to a modern Amazon Redshift architecture, which includes Redshift provisioned clusters using RA3 instances , Amazon Redshift data sharing , and Amazon Redshift Serverless. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

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Get Your Analytics Insights Instantly – Without Abandoning Central IT

Cloudera

Does your organization’s success depend on immediate delivery of new reports, applications, or projects? While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Do you need faster time to value?

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Flexible and secure Data-as-a-Service delivered today

Birst BI

Data-as-a-Service (DaaS) streamlines the chaos of ungoverned data pipelines and reporting silos created by users who are eager to use data, whether they are simple data inquiries from business analysts to more complex data questions from data science teams. How does DaaS fit into this architecture?