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Data Warehouses Research

  • A Guide to Graph Analytics from Databases to Uses

    Sponsored by: TechTarget

    Graph analytics and databases have been on the rise across enterprises for decades. Explore graph analytics use cases, what makes a graph database unique and the advantages of adoption.

  • Computer Weekly - 9 November 2021: How a cloud-first strategy helped save animals in the pandemic

    Sponsored by: ComputerWeekly.com

    In this week's Computer Weekly, we talk to the RSPCA about how its cloud-first strategy helped to save animals throughout the pandemic. Data warehouses have been part of the IT landscape for 30 years – but are they now old technology, and what's next? And we assess how Brexit has affected risk and resilience in the datacentre. Read the issue now.

  • 3 Practical Use Cases for Databricks on AWS Ebook

    Sponsored by: Databricks, Inc.

    Access these Databricks notebooks and learn how to code the three most common data science scenarios, with code examples and commentary. Read on to discover how to code analytics tools including recommendation engines, churn analysis solutions, and intrusion detection.

  • The Big Book of DE

    Sponsored by: Databricks, Inc.

    Get your copy of this how-to guide and start exploring the data lifecycle on the Databricks Lakehouse Platform—from data ingestion to data processing, analytics and machine learning—with real-life end-to-end use cases from joint AWS customers such as Northwestern Mutual, CrowdStrike, and Atlassian.

  • AWS Data Lakes and Warehouses: Evaluating Cloud Data Repositories

    Sponsored by: AWS

    This expert guide will help you break down some of the more popular AWS data warehouse and lake options and determine how one compares to the other when it comes to a particular use case. Read on to discover how options like Lake Formation and Redshift differ, compare, and even work together across multiple complex scenarios.

  • Executive Interview: Tearing down data silos

    Sponsored by: ComputerWeekly.com

    Alteryx's senior vice-president for Asia-Pacific addresses some misconceptions about data analytics and what the company is doing to stake a bigger claim on the market.

  • Computer Weekly - 4 May 2021: How KFC put digital on the menu

    Sponsored by: ComputerWeekly.com

    In this week's Computer Weekly, we find out how fast-food chain KFC turned to digital to survive the pandemic. Our latest buyer's guide looks at technologies to improve office productivity for home workers. And we assess the growing problem of electronic waste and how to tackle it. Read the issue now.

  • DATA WAREHOUSING FOR LIFE SCIENCES: HOW TO ELIMINATE DATA SILOS AND PROVIDE BUSINESS VALUE

    Sponsored by: Maven Wave

    For some scientists, it can be more challenging to store, integrate, and prepare data than it can be to find the critical insights hidden in it. Access this white paper to learn how Maven Wave, a Google Cloud Partner, can help you leverage the capabilities of cloud data warehouses to accelerate and ease your journey to discovering crucial insight.

  • It's complicated: how data integration lies at the heart of evermorecomplex data architectures

    Sponsored by: ComputerWeekly.com

    Data integration and preparation remains the knotty problem at the heart of many data management and business intelligence programmes.Demands on IT leaders in user organisations – especially large, complex ones – are and will continue to be equally complex and pressing as boards look to get business value from data. Read more in this e-guide.

  • A Computer Weekly buyer's guide to big data

    Sponsored by: ComputerWeekly.com

    Companies are switching on to the advantages of big data. In this 13-pagebuyer's guide, Computer Weekly looks at data analytics, how to get value out it and the benefits of process mining.

  • Choosing the Right Solutions for a Modern Data Architecture

    Sponsored by: Deloitte

    Access this expert guide to learn the essential considerations you need to make when choosing the right data warehousing solution and discover 6 must-have cloud migration strategies.

  • Data Virtualization Tools Promote Anywhere, Anytime Data Access

    Sponsored by: SearchDataManagement

    Download this handbook from the editors of SearchDataManagement.com to view the latest benefits of data virtualization, use cases, and how to use data virtualization to feed logical data warehouses and agile BI.

  • Big Data Containers Gain Wider Appeal in System Deployments

    Sponsored by: SearchDataManagement

    Big data containers running in Kubernetes clusters are a new option for deploying Hadoop, Spark and other platforms. Read this handbook for insights into the potential benefits of putting big data systems in containers and offers advice on how to manage containerized environments.

  • Managing the Big Data Onslaught

    Sponsored by: SearchDataManagement

    In this expert e-zine, explore how big data management systems can pay big dividends for companies willing to break traditional business patterns and divert their data lakes into new revenue streams.

  • Cloud-Based BI and Analytics Systems Start Taking a Firmer Shape

    Sponsored by: SearchBusinessAnalytics

    In this expert handbook, explore the current state of cloud BI and analytics adoption and examine how companies like Lenovo are migrating big data and predictive analytics to the AWS cloud.

  • Approaches to SAP HANA Adoption: ERP, Business Intelligence, and More

    Sponsored by: Red Hat

    In this expert e-guide, we explore how organizations across a variety of industries are leveraging SAP's in-memory platform to enhance reporting, analytics, self-service BI, ERP transformation, mobility, and more. Discover which approach to SAP HANA – on premise, in the cloud, or via mobile apps – is best for you.

  • Big Data Poses Weighty Challenges for Data Integration Best Practices

    Sponsored by: SearchDataManagement

    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.

  • How Embedded BI Programs Turn Analytics Into Action Fast

    Sponsored by: SAP

    In this expert e-guide, you'll discover 10 best practices for implementing a fast new BI platform or improving your existing one. Then, learn the story of how Urban Airship Inc. developed an embedded analytics program of their own.

  • Data Warehousing Is Improved By Integrating Big Data Capabilities

    Sponsored by: IBM

    Both big data and data warehousing systems experience increased performance when they work together. In this expert e-guide, uncover the importance of data warehouses' storage and organization abilities, and learn how they can be combined with the increased analytics power of big data systems to provide improved insights.

  • Visualizing the Future of Big Data and Predictive Analytics

    Sponsored by: SearchDataManagement

    Explore how predictive analytics and data visualization can help you make sense of your analytics, how a security expert/cryptographer is using big data analytics and the cloud to make open source code safe for app developers and off-limits to hackers, and more.

  • Multifaceted IoT Data Management Demands Vigilance, Flexibility, Upgrades

    Sponsored by: SearchDataManagement

    This handbook on IoT data management practices examines the challenges that must be addressed on the road to effective IoT management. It advises organizations to bulk up their IT architecture before tackling massive amounts of IoT data, proposes four critical steps in formulating all-encompassing IoT data management practices, and more.

  • Hadoop Deployments: Maximizing Efficiency for Big Data Analytics

    Sponsored by: IBM

    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.

  • The Future of Data Warehousing Infrastructure and Architectures

    Sponsored by: IBM

    This e-guide examines how a shift from traditional data warehousing (DW) appliances to an infrastructure that combines traditional DWs with big data technologies offers new opportunities for businesses to address needs such as costs, flexibility and agility while eliminating key technology silos.

  • Creative Strategies Yield Greater Customer Insight

    Sponsored by: SearchCRM

    To improve customer experience, companies need to tune into the different platforms consumers use, unify data silos, integrate information systems and plan thoughtful strategies for engaging customers. Discover how to plug the holes in your business' customer experience strategy.

  • Spark for Big Data Initiatives: Biggest Opportunities & Challenges

    Sponsored by: SearchBusinessAnalytics

    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.

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