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Big Data Engineering for Machine Learning
sponsored by Qubole
WHITE PAPER: Machine learning tools operate differently than other analytics or automated tools; they require access to massive sets of unstructured and structured data, something that traditional data pipelines and engines struggle with. Check out this white paper to learn more about building the right framework for your machine learning-driven enterprise.
Posted: 13 Jul 2020 | Published: 13 Jul 2020

Qubole

Accelerate Time to Insight
sponsored by Matillion
WHITE PAPER: By automating part or all of the ETL process, your data scientists can be left to focus on higher level projects, not manage menial, repetitive tasks. Read the attached e-book to learn the essential steps you should consider as you automate your ETL and data ingestion processes, as well as questions to ask AND five must-have automation functions.
Posted: 12 Feb 2020 | Published: 24 Dec 2019

Matillion

From ETL to ELT
sponsored by Matillion
WHITE PAPER: As the data warehousing landscape shifts, so too are data integration strategies shifting. Gone are the days of ETL—now, many data warehouses engines are using ELT technology. Read this e-book to gain a deeper understanding of the modern cloud data warehouse and how ELT works within this landscape.
Posted: 18 Feb 2020 | Published: 18 Feb 2020

Matillion

Rethink data integration for the age of big data
sponsored by SearchDataManagement
EGUIDE: This expert e-guide explores the need for new thinking around data integration in a big data world, and highlights key tools that can deliver the value you're looking for.
Posted: 24 Feb 2014 | Published: 24 Feb 2014

SearchDataManagement

Offshoring ETL Development in EPM projects
sponsored by Hexaware Technologies
WHITE PAPER: In this white paper, discover the benefits of off-shoring and the challenges that stand in the way of a successful outsourced project.
Posted: 01 Nov 2011 | Published: 31 Oct 2011

Hexaware Technologies

Presentation Transcript: Measuring the Total Economic Impact of IBM InfoSphere Information Server with Forrester Consulting
sponsored by IBM
PRESENTATION TRANSCRIPT: Access this presentation transcript which includes insight from Forrester Consulting to understand the impact of leveraging a data integration platform as part of an overall information architecture integration strategy for maximum business impact.
Posted: 28 Mar 2011 | Published: 28 Mar 2011

IBM

E-Book: How to Evaluate Data Warehouse Appliances
sponsored by Sybase, an SAP company
EBOOK: Business Intelligence and analytics remain top priorities for organizations seeking to increase revenues and cut costs, but these systems often require a data warehouse to feed them correct and relevant information. This E-Book provides detailed expert advice on how to evaluate, select and prepare your organization for a data warehouse appliance.
Posted: 21 Oct 2009 | Published: 21 Oct 2009

Sybase, an SAP company

Automated Business Intelligence: Delivering Real Business Value, Quickly, Easily, and Affordably
sponsored by Birst
WHITE PAPER: This White Paper explores how traditional approaches fall short, what the automated solution and its benefits look like, how the on-demand delivery model best represents the integrated stack necessary for automation, and how the automated, on-demand model brings the benefits of BI to a far broader audience than ever before.
Posted: 19 Jun 2009 | Published: 19 Jun 2009

Birst

E-Book: Data Warehousing Technology Trends
sponsored by HP Inc
EBOOK: Technological innovations are rapidly changing data warehouse architectures and providing the potential for substantial performance improvements. Read this e-book to get an update on the most important trends in data warehousing, including appliance technology, columnar databases, in-database analytics and more.
Posted: 02 Dec 2010 | Published: 02 Dec 2010

HP Inc

Comprehensive Data Warehousing & BI Solution with Oracle Database 11g
sponsored by Oracle Corporation
WHITE PAPER: This white-paper provides an overview of Oracle Database 11g's capabilities for data warehousing, and discuses its key features and technologies. Discover how to integrate information, perform fast queries, scale to very large data volumes, and more.
Posted: 15 Oct 2007 | Published: 01 Oct 2007

Oracle Corporation
 

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