Remove solutions accelerators on-shelf-availability
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Beyond Data-Driven: How Today’s Leading Retailers Are Leveraging Insights to Sell Better

Snowflake

Constraints on the ability to produce goods have limited the availability of in-demand products, leading to inflation. They are generating faster speed to insights by creating data and analytics solutions powered by the best data in the market. Customers have taken their time to solution deployment from 12 months to as few as 12 days.

Retail 52
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Meta’s Evenstar is transitioning to OCP to accelerate open RAN adoption

Engineering at Meta

Meta is transferring its IP for Evenstar , a program to accelerate the adoption of open RAN technologies, to the Open Compute Project (OCP). Meta will contribute Evenstar’s radio unit design to OCP, giving the telecom industry its first open, white box radio unit solution.

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Maximizing Supply Chain Agility through the “Last Mile” Commitment

Cloudera

Data today has a shelf life much like produce and needs to be updated in real-time to be relevant. Streaming or real-time data from on-vehicle sensors, shelf, or point of sale are leveraged along with historical archives of consumer purchase behavior or inventory stock levels. Data 100 days old might as well be 100 years old.

Retail 90
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AWS Instance Types Explained: Learn Series of Each Instances

Edureka

This adaptability makes AWS instance types a fundamental building block for diverse cloud-based solutions. In-Memory Caching- Memory-optimized instances are suitable for in-memory caching solutions, enhancing the speed of data access. Enroll for the AWS Training today to learn more about its instances in detail.

AWS 52
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Telecom’s Big Opportunity in the Data Economy

Snowflake

The demand for data is accelerating; companies are acquiring data from more sources and spending more to get it. And, then the data might inform the types of products and services it makes available at these locations (Are the subscribers in the area mostly professionals or are they families?). That’s up from only 9% the previous year.

Retail 54
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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

While an available version of each open source project is fully functional on its own, it was not built with the intention to integrate with any version of other open source packages. That first step requires integrating the latest versions of all required open source projects, including not just data processing engines (e.g.,

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5 Ways To Ensure High Functioning Data Engineering Teams 

Monte Carlo

This allows additional responsibility, accountability, and ownership to be delegated and decentralized, which greatly accelerates the speed at which the team can operationalize their data to unlock business values. It can be the same way with data engineers and the bevvy of technology solutions we leverage on the job.