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Database Software Research

  • Top 10 Reasons Why I Switched to ER/Studio

    Sponsored by: Embarcadero Technologies, Inc.

    In this white paper, Ron Huizenga, a 30 year veteran IT consultant outlines 10 reasons he chose to use ER/Studio to design his database including the existence of true multi-level sub-models, clear separation between logical and physical models, the ability to simply reverse engineer data models from an existing database, and more.

  • Self-Service Operational BI for SAP

    Sponsored by: Every Angle

    This white paper explores the concept of differentiated, self-service operational BI tools, with a special emphasis on managing SAP data. Learn about 4 important features for self-service operational BI, including understanding app logic, restriction-less and flexible data access, and 2 more.

  • ER/Studio 2016 vs. ERwin 9.64 Comparison Guide

    Sponsored by: Embarcadero Technologies, Inc.

    In this detailed white paper, see a side-by-side comparison of ER/Studio 2016 and ERwin 9.64 on a variety of features including data model extensions, forward engineering, modeling automation, and more.

  • A Computer Weekly buyer's guide to graph databases

    Sponsored by: ComputerWeekly.com

    In this 14-page buyer's guide, Computer Weekly looks at the technology that teases out connections between divergent datasets – and how it is revolutionising data analysis.

  • AWS Lowers Cost Barriers for SAP HANA and Database Migrations to the Cloud

    Sponsored by: UXC Oxygen and Amazon Web Services

    Although SAP deployments are currently dominated by appliances, more companies are tapping the cloud. But is cloud deployment a smart decision for you? Download now to weigh SAP HANA on-premises options against their cloud offerings. Also, discover how AWS' new tools will lower cost barriers for database cloud migrations.

  • The Multi-Model Database: Enabling Business Transformational Applications

    Sponsored by: InterSystems

    To develop and deploy disruptive, game-changing applications and workloads, organizations need tools that can support multiple data models. Learn how multi-model databases can unify a variety of distinct database software products and deliver the performance and management facility essential for working with big data.

  • Traditional SQL Databases' Scalability Issues and Overcoming Them

    Sponsored by: Clustrix

    This white paper explores some of the issues most SQL databases have when it comes to growth. Learn about common workarounds that these databases use to avoid their inability to scale effectively, and discover a fast new DB with high availability that has no trouble with scalability.

  • Your Guide to SAP to AWS Migration

    Sponsored by: UXC Oxygen and Amazon Web Services

    This guide covers four AWS migration scenarios, with discussion on potential SAP tools and methodologies. Also uncover common SAP on AWS use cases and migration options.

  • DBA Skills Must Evolve, Morph to Cope With Big Data Technologies

    Sponsored by: Rackspace

    This e-guide will explore top trends in data processing that DBA's should be aware of. Download now to learn what skills DBA's should be learning to keep pace with this changing landscape.

  • 30-Day dashDB: Test Drive Data Warehousing and Analytics Functionalities

    Sponsored by: IBM

    A well-designed data warehouse system can help boost the corporate bottom line, but if you aren't careful, data warehouse performance can bog down in different places. Start a free 30-day trial to dashDB, a fully-managed cloud data warehouse built specifically for analytics. Take their data warehousing and analytics capabilities for a test drive.

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