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6 Step Guide to Apache Cassandra Data Modelling
sponsored by Instaclustr
WHITE PAPER: This white paper covers a methodical approach that can be useful in approaching Cassandra data modelling, focusing on 3 simple principles and 6 steps that implement the principles.
Posted: 05 Dec 2017 | Published: 05 Dec 2017


Cassandra NoSQL Data Model Design
sponsored by Instaclustr
WHITE PAPER: Uncover the 3 phases you can follow when designing a new data model, as well as an example of building a database to store and retrieve log messages from multiple servers to avoid any traps along the way.
Posted: 01 Dec 2017 | Published: 30 Nov 2015


Managed Cassandra versus DynamoDB
sponsored by Instaclustr
WHITE PAPER: This white paper explores the strengths and weaknesses of 2 popular NoSQL databases, and the functional differences to look at when selecting a system that best fits your requirements.
Posted: 30 Nov 2017 | Published: 30 Nov 2017


Run Model Tournaments at Scale with Advanced Machine Learning – Quickly, Easily and Automatically
sponsored by SAS
WHITE PAPER: Read this white paper and discover an analytics strategy that, with just a few clicks, you can modify and transform your data and if your models are underperforming in a specific segment, it's easy to manually fine-tune them to improve the accuracy of your predictions.
Posted: 07 Apr 2016 | Published: 07 Apr 2016

SAS

Does Data Modeling Still Matter Amid the Market Shift to XML, NoSQL,Big Data, and the Cloud?
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Many organizations have reconsidered their commitments to data modeling in the face of NoSQL and big data systems, as well as XML information management. However, should you really be shifting focus away from data modeling?
Posted: 24 Feb 2014 | Published: 24 Feb 2014

Embarcadero Technologies, Inc.

E-Guide: The Importance of Data Modeling Software
sponsored by CA ERwin from CA Technologies
EGUIDE: In this e-guide, you will find out why the experts think data modeling is an important part of enterprise data management and why business users often need to be convinced that data modeling is something they should care about.
Posted: 09 Feb 2012 | Published: 09 Feb 2012

CA ERwin from CA Technologies

Enterprise Data Modeling: 7 Mistakes You Can’t Afford to Make
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: This white paper discusses the obstacles of enterprise data modeling.
Posted: 02 Feb 2012 | Published: 31 Jan 2012

Embarcadero Technologies, Inc.

Fast-Tracking Data Warehousing & Business Intelligence Projects via Intelligent Data Modeling
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Often times Business Intelligence (BI) projects miss the mark with their business users because the proper documenting of required data and related business rules is not executed. This paper looks at fast-tracking data warehousing and BI projects using data modeling.
Posted: 15 Jun 2011 | Published: 01 Jan 2010

Embarcadero Technologies, Inc.

Combining Data Profiling and Data Modeling for Better Data Quality
sponsored by CA ERwin®
WHITE PAPER: The combination of data profiling and data modeling is crucial for maintaining the quality of the information that drives your business decisions. Read this paper for more information about solutions that increase the quality fo your critical data assets, increase TCO, and enable consistent visibility into existing and legacy database environments.
Posted: 08 Jun 2010 | Published: 02 Nov 2009

CA ERwin®

Presentation Transcript: The Power of Universal Patterns and Models for Master Data Management
sponsored by Embarcadero Technologies, Inc.
PRESENTATION TRANSCRIPT: In this presentation transcript featuring best-selling author, Len Silverston, learn how to implement universal patterns for data modeling to improve management flexibility. Gain insight into various modeling choices to meet your organization's needs. Discover how to improve quality and reduce management costs by re-using patterns.
Posted: 19 Oct 2009 | Published: 19 Oct 2009

Embarcadero Technologies, Inc.
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