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Data Management Software

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DEFINITION: Software that converts data into a unified format by taking derived data to create new fields, merging files, summarizing and filtering data; the process of reading data from operational systems.
Data Management Software Reports
151 - 175 of 878 Matches Previous Page  |  Next Page
IoT: Analytics Challenges and Opportunities
sponsored by Vitria Technology, Inc.
VIDEO: Watch this brief video to learn how to implement faster, smarter advanced analytics for IoT data that can accommodate real-time streaming data, predictive analytics, context-aware insights, and more.
Posted: 05 Jul 2017 | Premiered: 05 Jul 2017

Vitria Technology, Inc.

Major Retailer Optimizes Supply Chain Management with Advanced Analytics
sponsored by Vitria Technology, Inc.
CASE STUDY: Find out how a major retailer used advanced analytics with targeted dashboards and data visualizations to integrate data from across disparate apps and gain deeper insight into and optimize each stage of the supply chain.
Posted: 05 Jul 2017 | Published: 05 Jul 2017

Vitria Technology, Inc.

Move to the Planet of the APIs: Get the Most Out of Your Data Management Platform
sponsored by Rubrik
WHITE PAPER: Access this white paper to learn about a unified backup platform designed to diminish learning curves, reduce manual effort, and minimize the opportunities for error.
Posted: 27 Jun 2017 | Published: 27 Jun 2017

Rubrik

How Telco Providers can Enable Real-Time Analytics and Decision-Making
sponsored by Aerospike
WHITE PAPER: Discover how Telco Service Providers (TSPs) can provide seamless, connected experiences with insights from big data architectures and advanced analytics. Find out how to enable real-time decision-making with analytics capabilities that support network management, CEM, and digital innovation.
Posted: 12 Jun 2017 | Published: 12 Jun 2017


How Industrial IoT is Transforming Manufacturing
sponsored by Bayshore Networks
EGUIDE: Data, data, data – with the advent of IoT, it's both one of the most promising and one of the most missed out on opportunities in the manufacturing industry today. In this e-guide, we explore the world of industrial IoT (IIoT) and how to leverage its massive data with analytics and machine learning.
Posted: 02 Jun 2017 | Published: 26 May 2017

Bayshore Networks

The Next Step for Advanced Analytics: Data Science Platforms
sponsored by SAS
RESEARCH CONTENT: To help you survey the field of available options and pick the best data science platform for your business, this Gartner Magic Quadrant evaluates 16 of the top vendors and their offerings. From IBM and SAP to SAS and Quest, find out which platforms came out on top for advanced analytics, machine-learning, data integration, and more.
Posted: 02 Jun 2017 | Published: 14 Feb 2017

SAS

Discovering the Business Value of Streaming Analytics
sponsored by SAS
RESOURCE CENTER: If you're looking to take advantage of the massive value buried in IoT data, access this article to learn about streaming analytics, how it differs from traditional analytics, and how it translates into rich, real-time insights.
Posted: 01 Jun 2017 | Published: 01 Jun 2017

SAS

Analytics in Action: Tackling the Big Data Headache
sponsored by SAS
RESOURCE CENTER: Find out how to take the big data challenge and turn it into a golden opportunity for your company with new approaches to data management and analytics. Learn about 5 steps to maximize the value of Hadoop and your data warehouse, 3 use cases for predictive analytics, and more.
Posted: 01 Jun 2017 | Published: 01 Jun 2017

SAS

Forbes Insights: Using Big Data to Elevate the Customer Experience
sponsored by SAS
WHITE PAPER: This resource explains how you can implement big data analytics to improve your customer's experience. You'll learn how best to tackle data integration challenges and how to share information with customers in an effective manner.
Posted: 30 May 2017 | Published: 30 May 2017

SAS

3 Use Cases for Interactive Data Discovery and Predictive Analytics
sponsored by SAS
RESOURCE CENTER: Explore how interactive data discovery and predictive analytics mitigate everyday data problems by allowing you to identify important trends and relationships in data sets. This also allows users to collaborate with specialists to create and select the best predictive models. Here are 3 use cases that show you how.
Posted: 30 May 2017 | Published: 30 May 2017

SAS

Streaming Analytics FAQ: What You Need to Know
sponsored by SAS
RESOURCE CENTER: What are you doing to gain greater data insights and thus, improve your competitive advantage? Learn which technologies your peers are using to remain competitive, cut costs, and increase efficiency. (Hint: Streaming analytics is a huge game changer; we'll show you why.)
Posted: 30 May 2017 | Published: 30 May 2017

SAS

Complex and Always-On Big Data: Why You Need a New Approach
sponsored by SAS
RESOURCE CENTER: Explore the 3 crucial trends currently shaping the fast-paced world of data management. Find out how to manage your data effectively throughout its entire lifecycle – not just when it's stored or analyzed – and uncover 3 steps to transform your strategies for the evolving data landscape.
Posted: 26 May 2017 | Published: 26 May 2017

SAS

5 Steps to Maximizing the Value of Hadoop
sponsored by SAS
RESOURCE CENTER: The International Institute for Analytics has compiled a list of 5 steps to maximizing the value of a Hadoop big data project. Uncover key considerations and recommendations for getting started.
Posted: 25 May 2017 | Published: 25 May 2017

SAS

Your A-to-Z Guide to the Internet of Things
sponsored by SAS
WHITE PAPER: Learn how to make sense of one of the most talked about trends in the tech world, so you can start the path toward tremendous value found in IoT big data.
Posted: 25 May 2017 | Published: 25 May 2017

SAS

Better Together? Hadoop and Your Enterprise Data Warehouse
sponsored by SAS
RESOURCE CENTER: Explore ways to overcome the challenges of moving your entire data warehouse to Hadoop. Plus, hear from big data expert Tom Davenport on augmenting small data projects with Hadoop big data initiatives.
Posted: 25 May 2017 | Published: 25 May 2017

SAS

4 Use Cases Show Real-World Impact of IoT
sponsored by SAS
WHITE PAPER: The IoT can bring big benefits. But how can retailers, the auto industry, government organizations, and manufacturers even begin to take advantage of it? Learn how these industries are squeezing value out of the IoT with analytics tools designed to stream source data and identify patterns in real time.
Posted: 24 May 2017 | Published: 24 May 2017

SAS

A Comprehensive Platform for Big Data Governance, Data Management, and Analytics
sponsored by SAS
WHITE PAPER: IDC has estimated that since 2011, digitally generated data has been doubling by the zettabytes every two years. Discover 5 categories of big data that need to be analyzed and governed.
Posted: 24 May 2017 | Published: 24 May 2017

SAS

Data Management in Action: Solving Real-World Challenges
sponsored by SAS
WHITE PAPER: Organizations certainly don't lack data, but simply having lots of it won't help you make faster, better decisions. Explore how SAS Data Management tools can help you overcome common barriers to seize the value in the wealth of data available to you.
Posted: 24 May 2017 | Published: 24 May 2017

SAS

How to Plan Your SAP SuccessFactors HCM Suite Implementation
sponsored by AltaFlux
EGUIDE: In this e-guide, SAP expert Luke Marson offers advice on how to plan your SuccessFactors implementation by taking a proactive view of your key pain points and integration needs for Employee Central, HRIS, ERP, and Workforce Analytics.
Posted: 05 Jul 2017 | Published: 23 Jun 2017

AltaFlux

Object Storage Architecture: Mitigating Complexity, Capacity, and Archival Concerns
sponsored by HGST
EGUIDE: This expert resource serves as your full guide to object storage implementation, with cloud workload, sync-and-share, API-accessible storage, and more use cases examined. Download now to gain full access, learning how object storage maintains the unstructured data deluge, and view an object vs. file vs. block storage bake off.
Posted: 21 Jun 2017 | Published: 12 Jun 2017

HGST

Riding the AI Analytics Wave: How Salesforce Einstein Measures Up
sponsored by Salesforce.com
EGUIDE: In this expert e-guide, we explore how AI integration augments analytics apps. Discover AI's potential to open new doors for IoT and cloud strategies, and learn about how Salesforce's Einstein platform measures up.
Posted: 20 Jun 2017 | Published: 15 Jun 2017

Salesforce.com

Taking Big Data Analytics to the Cloud
sponsored by Rackspace
EGUIDE: Discover how HSBC, a financial services company and banking giant, adopted a cloud-first strategy to enhance analytics and solve big data business challenges. Hear from David Knott, a chief architect at HSBC, about how they addressed 5 key use cases with machine-learning and selected a cloud provider for analytics.
Posted: 12 Jun 2017 | Published: 06 Jun 2017

Rackspace

The Right Time to Manage and Analyze Big Data in the Cloud
sponsored by Rackspace
EGUIDE: In this expert e-guide, we explore the roles of public and private clouds as well as on-premise systems in big data management. Learn about the potential impact of cloud services on data lakes and analytics; plus, find out how to incorporate cloud-based machine-learning and AI into your big data strategy.
Posted: 09 Jun 2017 | Published: 05 Jun 2017

Rackspace

The Top IoT and Cloud Concerns Facing Big Data Management
sponsored by Rackspace
EGUIDE: In this expert e-guide, we explore the trends that are projected to dominate big data in the immediate future. Learn about growing data management opportunities in IoT, the rise in machine-learning and self-service data prep tools, cloud-based analytics, and more.
Posted: 09 Jun 2017 | Published: 05 Jun 2017

Rackspace

Hortonworks Data Platform on IBM Power Systems
sponsored by IBM
WHITE PAPER: Learn how Hortonworks Data Platform (HDP) can help power big data analytics and AI. You'll find details on capabilities such as performance and flexibility, seamless integration of machine and deep learning, and more.
Posted: 09 Jun 2017 | Published: 09 Jun 2017

IBM
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