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Whitepapers

Whitepapers Datanami's white paper database contains reports from the leading thought-leaders and idea generators in the Datanami industry.

Modernize Your Data Warehouse

Source: Matillion
Release Date: Mar 26, 2020

You have BIG Data. However, growing varieties, volumes, and velocities of data can strain your database and existing BI processes.

Trying to cope with these increases will unearth platform limitations that are not easily overcome and can be expensive to work around because legacy on-prem systems were never designed to handle the pressures of modern data demands. Read more…

Overcoming Obstacles to Machine Learning Adoption

Source: H2O
Release Date: Mar 25, 2020

After many fits and starts, the era of enterprise machine learning has finally arrived. According to 451 Research’s Voice of the Enterprise, AI and Machine Learning survey, 20% of enterprises have already deployed the technology and a further 33% plan to do so within one year. Read more…

12 Steps to a Successful Analytics Organization

Source: Tamr
Release Date: Feb 13, 2020

Analytics and data are about people and empowering them. Analytics start with questions, from real people, at all levels of an organization. What if people in your organization could easily and accurately answer the 100, 200, or even 500 questions that would create significant value by using all the data in your organization at any time? Read more…

Native Parallel Graphs; The Next Generation of Graph Database for Real-Time Deep Link Analytics

Source: TigerGraph
Release Date: Jan 16, 2020

TigerGraph’s eBook “Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link Analytics,” discusses what developers need to learn in order to leverage the power of graph analytics for the most complex business problems. Read more…

An Introduction to Machine Learning Interpretability Second Edition

Source: H2O.ai
Release Date: Nov 6, 2019

Understanding and trusting models and their results is a hallmark of good science. Analysts, engineers, physicians, researchers, scientists, and humans in general have the need to understand and trust models and modeling results that affect our work and our lives. Read more…

Data Warehouse Automation in Azure for Dummies

Source: Attunity
Release Date: Oct 23, 2019

As you make the decision to move your data warehouse from on-premise to the cloud or cloud to cloud, there are many things to take into consideration. You need to take into account the differences that exist between an on- premise data warehouse and a cloud data warehouse. Read more…

Enabling DataOps for Analytics

Source: Attunity
Release Date: Aug 22, 2019

Read this report to dive into how DataOps applies to DevOps, agile and lean manufacturing principles for data management. Also, learn how the Qlik Data Integration Platform can enable agile cloud migration, automate data transformation for analytics and accelerate the cataloging, management, preparation and delivery of data assets. Read more…

Delivering Deliciousness Scoop after Scoop

Source: Innodisk
Release Date: Jul 26, 2019

Automation is more than just conveyor lines in bustling and noisy factories. It can also be a tool to satisfy your sweet tooth. One European manufacturer decided that ice cream can just as easily be made and served by a robot arm. Read more…

Eckerson Group Report: Deep Dive Data Warehouse Automation

Source: Attunity
Release Date: Jul 25, 2019

Take a deep dive into data warehouse automation (DWA) to know its’ history, drivers and evolving capabilities. Learn how you can reduce the dependency on ETL scripting, advance your user experience, implementation, maintenance and updates of your data warehouse and data mart environments with Attunity Compose. Read more…

New Frontiers in Networking For Big Data

Source: GigaIO
Release Date: Jul 18, 2019

Big data has arrived and will only get bigger, defined by Gartner as high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing to facilitate enhanced insight, decision making, and process automation. Read more…

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