Integrating Large-Scale Databases with Python

October 23, 2018

Organizations depend on large-scale databases to manage large data sets and need well-tested, wellsupported solutions to manage and massage their data. Enterprises are deploying databases in cluster environments that appear to the end users as a single unified computing resource when in actuality they are a set of independent computer systems and network interconnecting them. To pull this ruse off, enterprises rely on dynamic languages to glue together these networks and ensure reliable and secure connections to their data stores. This whitepaper covers details on integrating Python with commercial relational database management systems (RDBMS) including specifics on tools and resources to utilize.

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CDK Global

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OTHER WHITEPAPERS
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Unpacking AI Procurement in a Box: Insights from Implementation

whitePaper | May 9, 2022

This document is published by the World Economic Forum as a contribution to a project, insight area or interaction. The findings, interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum, nor the entirety of its Members, Partners or other stakeholders

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DELLQUINN: A Machine Learning-Based, Resource Capacity Optimization Solution

whitePaper | August 23, 2022

This white paper describes the features and benefits of a machine learning-based resource optimization solution that helps the Dell High End Storage Field Services Team perform capacity planning more efficiently and with the potential to optimize resource utilization and overtime.

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Unlock Business Value Through the Combination of Analytics and Artificial Intelligence

whitePaper | June 9, 2022

Artificial Intelligence (AI) powered Analytics is taking data management to the next level for almost all industry sectors without having to rely on technical staff or data scientists. Technology is helping create blue ocean opportunities amidst red ocean realities.

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Embedding AI-powered Analytics Into Your Application

whitePaper | September 28, 2022

Your customers need more than dashboards. They need instant, actionable insights and analytics. And you need to offer more than basic analytics to futureproof your application. Learn how embedding AI-powered analytics gives you a sustainable competitive advantage. Download the complete guide today.

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Artificial Intelligence & Machine Learningin Public Safety

whitePaper | December 15, 2019

Artificial Intelligence (AI), and specifically Machine Learning (ML), are being tested in an increasing number of fields, including data-centric environments. Image or text analysis, speech recognition, chatbot interactions, custom machine learning models… all these are elements that could enable the AI journey of a public safety and security organisation. This document dives into different aspects of integrating AI & ML in Public Safety activities, at different levels and in different domains of activity. It presents ethical and regulatory considerations, real examples from Public Safety Answering Points (PSAPs) and Emergency Response Organisations (EROs), and also initiatives that can benefit the public sector greatly, with a series of recommendations at the end.

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Optimize Microsoft SQL Server Workloads with NetApp Solutions

whitePaper | July 31, 2020

IT organizations face constant change. There’s the overarching transition to cloud, which raises questions about what workloads to move when. And there are application-level transitions imposed by vendors when they end support for older versions of software, forcing companies to upgrade. Microsoft SQL Server is swept up in both of these transitions. Organizations rely on SQL Server for everything from ERP to analytics, and thousands of them are running the 2008 or older versions that are now end of support.

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Spotlight

CDK Global

We’re evolving the experience for our dealers and their customers, all over the world. With more than $2 billion in revenue, we’re evolving the experience for our dealers and their customers in 100 countries around the world, serving over 27,000 dealerships. We’ve got the passion and experience to evolve the industry.

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