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Data Warehousing Reports
 
Operationalizing the Data Lake
sponsored by Qubole
EBOOK: Many organizations stumbled into having data lakes, erecting them in response to an overload of data and a lack of time to organize it instead of deliberately building a data lake with a specific use case in mind. Read this e-book, Operationalizing the Data Lake, to learn how you can take your data lake and start generating value with it.
Posted: 09 Jul 2020 | Published: 09 Jul 2019

Qubole

Bringing the Promise of Data to Life
sponsored by Informatica
WHITE PAPER: Data warehouses have emerged as a popular option for storing, organizing, and leveraging the data your organization has on hand. But the best data warehouse use case lies in the cloud—and too often, companies store their data on-prem. Read on to learn how to migrate to a cloud data warehouse without interrupting your business process.
Posted: 19 May 2020 | Published: 20 May 2020

Informatica

6 Things to Consider for Your Cloud Data Warehouse Journey
sponsored by Informatica
WHITE PAPER: While cloud data warehouses offer increased agility and more flexible financial commitments, they require more intense and complex data management efforts. So how can you manage a cloud data warehouse well? And how can you use a cloud data warehouse to propel your digital transformation efforts further? Read this white paper to learn more.
Posted: 19 May 2020 | Published: 19 May 2020

Informatica

Pathways to Cloud Data Warehouse Modernization
sponsored by Informatica
WHITE PAPER: Simply relying on a "lift-and-shift" strategy won't cut it—read this TDWI checklist report to learn more viable pathways to cloud data warehouse modernization.
Posted: 14 May 2019 | Published: 31 Dec 2018

Informatica

BI On Big Data: What Are Your Options?
sponsored by Dremio
EBOOK: The advent of big data changed data analytics, but not necessarily for the better. Right now, companies often struggle to turn the massive amounts of data that they’ve collected into useful, unified data sets. Download this ebook by Dremio to examine some of the challenges and trends in the data management world right now.
Posted: 06 Feb 2020 | Published: 15 Nov 2018

Dremio

Molecula FAQs
sponsored by Molecula
WHITE PAPER: Molecula’s data access platform has quickly established itself within the market, thanks to its ability to quickly, accurately, and securely run analytics workloads from a variety of sources. Check out this series of FAQs to see how Molecula is most often or best used, how Molecula interacts with other services like AWS or Google Cloud, and more.
Posted: 28 Aug 2020 | Published: 28 Aug 2020

Molecula

Why You Need Data Virtualization
sponsored by TIBCO
VIDEO: Tune into this video to learn about TIBCO’s data virtualization and how it can empower your team and users to access data across the network and query it as if it was centrally located.
Posted: 27 Aug 2020 | Premiered: 27 Aug 2020

TIBCO

Fundamental Considerations of Moving to the Cloud Data Lake
sponsored by Dremio
WHITE PAPER: Moving data to the cloud could result in downtime and other issues. However, moving to the cloud offers several advantages including scalable storage, centralizing data, and more.Read this article to learn the essential considerations you must make when deciding if you should switch your business to the cloud, and the ways in which Dremio can help.
Posted: 24 Jan 2020 | Published: 18 Dec 2019

Dremio

Expert Advice on Today's Database Market
sponsored by SearchDataManagement
EZINE: Read this special edition of Business Information for advice from data management consultant and author Craig S. Mullins on today's database market. Learn about new data types which call for new approaches, like storing data in memory instead on of disk, or turning to NoSQL technologies.
Posted: 06 May 2015 | Published: 06 May 2015

SearchDataManagement

Hadoop Deployments: Maximizing Efficiency for Big Data Analytics
sponsored by IBM
EGUIDE: Many businesses recognize Hadoop as a premier cloud app framework, but they still don't know how to deploy Hadoop properly or prepare for its pitfalls. In this e-guide, we identify and explore some of the biggest Hadoop challenges. Find out how to resolve these issues and unlock the benefits of big data analytics.
Posted: 28 Jul 2016 | Published: 26 Jul 2016

IBM
 

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