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Data Warehousing Reports
 
How Dollar Shave Club Cuts The Competition With a Data Advantage
sponsored by Looker
CASE STUDY: How does a small e-commerce business with a good idea - and a great sense of humor - solve their data bottleneck and go up against leading retail giants to win? Ask Dollar Shave Club. In this case study, learn how this e-commerce upstart trimmed its data bottleneck considerably.
Posted: 09 May 2017 | Published: 09 May 2017

Looker

The Modern Approach to Business Intelligence
sponsored by Tableau Software
WHITE PAPER: Whether you're working with data in spreadsheets, warehouses, or across disparate data sets, this white paper explores how to improve analytics and access to real-time insights. Uncover the 7 key attributes that are shaping the modern approach to business intelligence.
Posted: 10 Aug 2017 | Published: 10 Aug 2017

Tableau Software

Understanding the 4 Zones of Data Lake Architecture
sponsored by Zaloni
VIDEO: In this presentation, Zaloni CEO and co-founder Ben Sharma discusses the 4 zones of data architecture, the challenges and tools to building data lakes, and how you can leverage your data lake to serve your needs.
Posted: 29 Jun 2017 | Premiered: 22 Jun 2017

Zaloni

Big Data Era: Embrace Speed & Simplicity in your Data Warehouse for a Competitive Edge
sponsored by IBM
WHITE PAPER: This white paper provides insight into what modern data warehouses need to accomplish to be relevant. Learn how adapting old technologies to manage new challenges is inadequate, and how you can manage big data simply and at low cost, while simultaneously processing advanced analytics at the speed of business.
Posted: 28 Apr 2016 | Published: 31 May 2014

IBM

Spark for Big Data Initiatives: Biggest Opportunities & Challenges
sponsored by SearchBusinessAnalytics
EBOOK: This expert e-guide discusses how Spark users are overcoming the processing engine's maturity issues to extract optimal value out of big data. Explore the biggest benefits and limitations of Spark and discover where it stands in the market relative to its competitors.
Posted: 16 May 2016 | Published: 16 May 2016

SearchBusinessAnalytics

Big Data Poses Weighty Challenges for Data Integration Best Practices
sponsored by SearchDataManagement
EBOOK: Organizations that deploy big data platforms are finding that they also need an upgraded data integration framework to meet rising demands. In this expert handbook, uncover advice on how to navigate the demands of big data architectures, high volume data warehousing, and data lakes by updating your data integration strategy.
Posted: 15 Mar 2017 | Published: 28 Mar 2017

SearchDataManagement

Enterprise Hadoop: Ready for Prime Time?
sponsored by SearchBusinessAnalytics
EBOOK: SearchBusinessAnalytics Benchmark Reports examine customer perceptions and adoption rates of technologies in established segments of the business intelligence (BI) market. Each Benchmark Report focuses on a specific area and surveys senior BI and IT professionals to understand the current market state for that segment of the BI market.
Posted: 19 Aug 2014 | Published: 19 Aug 2014

SearchBusinessAnalytics

Spark Muscles Into Big Data Processing
sponsored by SearchDataManagement
EBOOK: Armed with data processing, streaming and machine learning capabilities, the multitalented Apache Spark architecture is becoming a force in its own right.
Posted: 04 Apr 2016 | Published: 29 Mar 2016

SearchDataManagement

Cloud-based data warehousing as-a-service, built for analytics
sponsored by IBM
MICROSITE: Discover how a cloud-based data warehouse service offers integrated analytics to rapidly deliver answers. IBM's dashDB offers unique in-database analytics, R predictive modeling, and business intelligence tools could free you to analyze your data and get precise insights, quicker.
Posted: 21 Jun 2016 | Published: 31 Jul 2015

IBM

Four Critical Concepts for Planning the Logical Data Warehouse
sponsored by IBM
WHITE PAPER: Even modern data warehouses can hold back your business. In this white paper, learn four key facts you need to know before choosing a data warehouse.
Posted: 21 Oct 2015 | Published: 30 Jun 2015

IBM
 
 
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