Remove cloud modern-cloud-data-analytics-platform
article thumbnail

How a Delta Lake is Process with Azure Synapse Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We are all pretty much familiar with the common modern cloud data warehouse model, which essentially provides a platform comprising a data lake (based on a cloud storage account such as Azure Data Lake Storage Gen2) AND a data warehouse compute engine […].

Data Lake 398
article thumbnail

TransUnion transforms its business model with IT

CIO Business Intelligence

billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services. At the core of its strategy is the mountain of data that TransUnion has acquired — along with more than 25 companies — over decades.

Modeling 101
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Walgreens partners with TCS and Microsoft to builds an intelligent data platform for actionable insights

CIO Business Intelligence

Walgreens processes hundreds of millions of prescription dispenses each year across nearly 9,000 stores, and each of those transactions creates hundreds of associated data points. Read the full customer story to learn more about Walgreens’ digital transformation journey on Microsoft Cloud.

article thumbnail

The hybrid approach: Get the best of both mainframe and cloud

CIO Business Intelligence

As more businesses push forward with digital transformation projects, cloud computing has stood out as a powerful tool capable of fueling the analytics that drive new technologies like artificial intelligence (AI) and machine learning (ML)—two capabilities that are quickly becoming a must-have in nearly every organization.

article thumbnail

12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

Businesses today compete on their ability to turn big data into essential business insights. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.

article thumbnail

My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

None of that was necessary on the Splunk.conf22 virtual conference platform. I was able to see a lot, learn a lot, be impressed a lot, and ponder a lot about all of the wonderful features, functionalities, and future plans for the Splunk platform. But the power, value, and imperative of observability does not stop there. is here, now!

article thumbnail

The 4 pillars of the Zscaler Zero Trust Exchange: Customers share their successes

CIO Business Intelligence

No longer a nebulous, aspirational term equated with the concept “never trust, already verify,” zero trust has evolved into a solid technology framework that enables proactive defense and digital transformation as organizations embrace the cloud and hybrid work models.

article thumbnail

Checklist Report: Preparing for the Next-Generation Cloud Data Architecture

Data architectures to support reporting, business intelligence, and analytics have evolved dramatically over the past 10 years. Download this TDWI Checklist report to understand: How your organization can make this transition to a modernized data architecture. The decision making around this transition.

article thumbnail

Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.