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Dell EMC® and Intel®

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Latest Content From Dell EMC® and Intel®

Whitepaper: Natural Language Processing-- Leveraging the Power of Words

by Dell EMC® and Intel®Jul 23, 2019

This white paper explains the basics of natural language processing (NLP) and how businesses can leverage the technology for a number of use cases and benefits, and explores how a technology partnership between Dell EMC and Intel is aiming to advance NLP through deep learning and open source solutions.


Whitepaper: Dell EMC and Intel Team Up to Slash Costs of AI Projects

by Dell EMC® and Intel®May 22, 2019

Enterprises that are truly looking to benefit from digital transformation today need to excel at artificial intelligence (AI) and deep learning. Read this whitepaper to learn how to avoid lost opportunities to open new markets and grow the business.


Whitepaper: Innovation and Opportunity: 3 Hadoop Trends That Will Affect Your Business

by Dell EMC® and Intel®Feb 27, 2019

For enterprises, deploying Apache Hadoop to manage big data was just the beginning. The Hadoop ecosystem is evolving, and the latest trends offer new opportunities to lower cost, improve customer relationships, and develop innovative new products and services that could help businesses gain competitive advantage. This whitepaper covers three trends that seem particularly promising; adoption of Hadoop 3, data-streaming applications, and Hadoop for the Internet of Things (IoT).


Whitepaper: Lamba Architecture with In-Memory Technology: Building the Data Warehouse of the Future

by Dell EMC® and Intel®Oct 23, 2018

Legacy data warehouses are no longer meeting today's need for fast, ongoing access to detailed analytics. Instead, organizations need a new type of data warehouse based on two-tier Lamba architecture accelerated by in-memory technology. This data warehouse of the future offers the performance they need while keeping costs low.

The easiest way to transition to this data warehouse of the future is a four-step process. Enterprises often begin by offloading their ETL processes to Hadoop, resulting in significant cost savings. Once they have a Hadoop cluster up and running, the next logical steps are to expand their use of Hadoop by creating an active archive and then a data repository. From there, they can transition to two-tier Lamba architecture that gives them the ability to analyze both batch and streaming data.

This tiered architecture offers the best of both worlds. The Hadoop-based batch tier provides the reliability organizations need for their financial reporting and can scale out over time. The speed tier, which leverages in-memory technology and tools like Spark, Storm, and Flink, maximizes performance and allows organizations to scale up while staying within budget.

This whitepaper details the benefits of building this data warehouse of the future as well as offering tips for transitioning to Lamba architecture.


Whitepaper: Active Archive and Data Repository: Building the Data Warehouse of the Future

by Dell EMC® and Intel®Jun 29, 2018

Many enterprises begin their journey toward the data warehouse of the future by offloading their ETL processes into Hadoop, resulting in significant cost savings. Once they have a Hadoop cluster up and running, the next logical steps are to expand their use of Hadoop by first creating an active archive and then a data repository.

Most organizations have structured data they rarely access, but do not want to delete. Moving this cold data into Hadoop for active archive keeps the data available for analytics and search while lowering costs. In fact, according to one study, storing data in Hadoop instead of a legacy data warehouse saved organizations $15 million on hardware costs.

After that, enterprises can create a data repository by moving siloed and unstructured data to Hadoop. This makes more data available for advanced analytics, which helps companies increase profits, reduce fraud, decrease reporting costs and boost productivity. It also sets them up for the final step in the journey: Lambda Architecture with In-Memory Technology.

This white paper details the reasons for and benefits of using Hadoop for creating an active archive and a data repository and includes helpful tips for expanding your use of Hadoop.


Whitepaper: ETL Offload: The First Step in Implementing the Data Warehouse of the Future

by Dell EMC® and Intel®Feb 22, 2018

For organizations that are beginning to deploy Hadoop, offloading extract, transform and load (ETL) processes is an ideal first use case. Handling ETL with a legacy data warehouse can drive up costs while slowing analytics, but moving those workloads to a Hadoop cluster can save hundreds of dollars while dramatically speeding up performance.This whitepaper details the benefits and challenges of using Hadoop for ETL offload as a first step toward implementing the data warehouse of the future. It draws on Dell EMC's extensive internal use of Hadoop, and it offers tips for making an ETL offload project successful.


Whitepaper: 4 Key Steps in Implementing the Data Warehouse of the Future

by Dell EMC® and Intel®Oct 23, 2017

Many enterprises are finding that their legacy data warehouses are no longer meeting their analytics needs cost-effectively, but an immediate, wholesale transition to a Hadoop-based solution isn't practical or affordable. This white paper offers a detailed roadmap for transitioning from your current state to the data warehouse of the future.