Companies need capabilities for identifying data assets and relationships, assessing data growth and implementing tiered storage strategies-capabilities that information governance can provide. It is important to classify enterprise data, understand data relationships and define service levels. Database archiving has proven effective in managing continued application data growth especially when it is combined with data discovery.
Published By: Clustrix
Published Date: Sep 04, 2013
Online advertising is a highly competitive and innovative market being driven to new levels by the rise of ad exchanges, real-time bidding alongside traditional ad networks. With advertisers increasingly buying one impression at a time, advertising market growth is soaring.
If your database is the bottleneck limiting the growth of your advertising business, this is the white paper for you. Find out how Clustrix will give you access to functionality, such as ad segmentation and targeting based on up-to-the minute campaign performance, as well as instant access to smart data, so your clients can make the right buy decisions.
This free whitepaper considers the technical challenges this rise presents for the database, and discusses the unique technology that enables Clustrix to solve these challenges and give your advertising business a competitive advantage.
Published By: Dell EMC
Published Date: May 15, 2015
This SQL Database focused case study is based on Connections Education, an online US-based education leader. Learn how this online education leader chooses EMC XtremIO to manage unpredictably fast growth.
Effectively using and managing information
has become critical to driving growth in areas
such as pursuing new business opportunities,
attracting and retaining customers, and
streamlining operations. In the era of big data,
you must accommodate a rapidly increasing
volume, variety and velocity of data while
extracting actionable business insight from that
data, faster than ever before.
These needs create a daunting array of
workload challenges and place tremendous
demands on your underlying IT infrastructure
and database systems. In many cases, these
systems are no longer up to the task—so it’s
time to make a decision. Do you use more staff
to keep up with the fixes, patches, add-ons and
continual tuning required to make your existing
systems meet performance goals, or move to a
new database solution so you can assign your
staff to new, innovative projects that move your
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.
To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
Published By: Datastax
Published Date: Aug 23, 2017
Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database.
Chances are you are getting bogged down by various data models that require support — key-value, tabular, JSON/document and graph. This not only raises your operational expenses, but also slows down your time to market and ultimately revenue growth.
Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models.
IT managers and line-of-business stakeholders are striving to increase efficiency of their application environments. The biggest challenges they face in supporting database environments are managing data growth and database size, and meeting database performance requirements. This ESG Lab Report documents the performance, reliability, availability, and serviceability of NetApp EF Series flash arrays in Oracle database environments.
The relational database has been the foundation of enterprise data management for over thirty years.
But the way we build and run applications today, coupled with unrelenting growth in new data sources and growing user loads are pushing relational databases beyond their limits. This can inhibit business agility, limit scalability and strain budgets, compelling more and more organizations to migrate to alternatives like MongoDB or NoSQL databases.
The 2011 IOUG Database Growth Survey, conducted in partnership with Oracle Corporation, includes input from 611 IOUG members and summarizes the survey results explore issues and solutions around managing fast-growing database environments.
Published By: Cloudian
Published Date: Feb 20, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate.
Microsoft SQL Server has enjoyed phenomenal success as a database server. Its relatively low cost, steadily increasing capabilities and ease of deployment have all combined to accelerate its growth. However, that same growth has led to a phenomenon commonly called SQL Server “sprawl”— the rampant, often uncontrolled, proliferation of SQL Server databases.
By using the Oracle Big Data Appliance with Oracle Exadata, enterprises can acquire, organize and analyze all their data to make the most informed decisions. Read this whitepaper to learn about all of the key benefits of Oracle Big Data Appliance.
This whitepaper provides an overview of Oracle's capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems integrate information and scale to analyze data.
Exadata Hybrid Columnar Compression is an enabling technology for two new Oracle Exadata Storage Server features: Warehouse Compression and Archive Compression. We will discuss each of these features in detail later in this paper, but first let's explore Exadata Hybrid Columnar Compression - the next generation in compression technology.
Exadata is Oracle's fastest growing new product. Much of the growth of Exadata has come at the expense of specialized DW appliance vendors. Take a look at the competitive comparisons these vendors have published and find out why they fall short.
This white paper presents two case studies that illustrate how Oracle Exadata increased storage capacity for data warehouses by 150%, reduced operational and database running costs by 50%, and on average improved database query performance by 10x.
This report explains how the migration to the Exadata platform required no changes to system interfaces and allowed Turkcell to consolidate hardware and create a highly scalable framework to handle future growth.
We’re experiencing a disruptive period of data transformation—and managing today’s database infrastructures during this disruptive period is not only critically important, but also more challenging than ever. An historic growth in data and cutting-edge technology trends, like the Internet of Everything, is causing an explosion in connections and data creation that is reshaping everything we do.