The Top 10 Enterprise NoSQL Use Cases | SlashdotMedia AdOps Asset Management

The Top 10 Enterprise NoSQL Use Cases

Over the last few years, NoSQL database technology has experienced explosive growth and accelerating use by large enterprises for mission critical applications. What’s remarkable is the variety of organizations and industries adopting NoSQL. Eight to 10 years ago, when NoSQL pioneers first deployed the technology, its use was limited to Internet-age companies like Google, Amazon, Facebook, and LInkedIn. Today, enterprises across virtually every industry are deploying NoSQL. In short, NoSQL is now ready for enterprise prime time.

The document will introduce key drivers of NoSQL adoption - technical requirements and business benefits, the challenges with relational databases, and the role of NoSQL in big data deployments before providing a guide to the top 10 enterprise NoSQL use cases we’re seeing in the market today.

IDC White paper: IBM DB2 for SAP: A No-Compromise Transactional and Analytic Database Platform

This white paper is written for SAP customers evaluating their infrastructure choices, discussing database technology evolution and options available. It is not easy to put forth a black-and-white choice as the SAP workloads straddle both real-time analytics and extreme transaction processing, and infrastructure choices can now be vast, given technology advancements around in-memory and faster processing speeds.

View IBM's privacy policy here

Unstructured Data Management: 3 Points to Consider

The 2014 Digital Universe report by the IDC/EMC estimates that the digital universe is doubling in size every two years, and it is only expected to get bigger. With such massive amounts of data circulating the web, organizations are looking for solutions that will allow them to manage these data streams in real-time. Luckily, many solutions are available. However, for most organizations there is no single solution to solve all of their data challenges. The answer is often found in a combination of internal tools and external services, but with so many solutions available, where do you start?

ESG WP: Wide-Ranging Business Objectives Demand a Wide Range of Flash Solutions

Applying flash storage in the data center promises so much: ultrafast performance, improved reliability, cost efficiency, and world-class data management. With our expertise and innovation we can help you deploy flash to unleash the performance of your applications. This white paper explores multiple paths to flash storage and why it’s your single best strategy for making faster decisions, serving your customers quicker, and gaining a competitive advantage.

Mission: Possible! Your Cognitive Future in Government

Big data has been called the new natural resource. And this resource continues to rapidly grow in volume, variety and complexity, particularly in government. Despite the explosive growth of information across industries, less than 1 percent of the world’s data is currently analyzed. How can government organizations bridge the gap between untapped opportunities and current capabilities? The answer is cognitive computing.

Cognitive-based systems build knowledge and learn, understand natural language, and reason and interact more naturally with human beings than traditional programmable systems. Download this article to learn more!

IDC Whitepaper: Den Lebenszyklus von Applikationen mit einer Hybrid Cloud-Strategie optimieren

Agilität ist für Unternehmen, die sich von ihren Mitbewerbern abheben bzw. ihren Wettbewerbsvorteil ausbauen möchten, unverzichtbar geworden. Auch wenn es darum geht, eine Markteinführungsstrategie.

Why NoSQL?

The database you pick for your next application matters now more than ever. It can be difficult, and oftentimes impossible, to quickly join today's data into the relational model. Learn how a NoSQL database can act as a viable alternative to or compliment an existing relational database.

Cloudant DBaaS Service Overview

Cloudant's managed service is designed to scale and support your fast-growing data management needs. The engineers at Cloudant tune, grow (or shrink) clusters, repartition and rebalance data, and monitor your data 24x7.

Analytics in a Dash: Strategies to Speed Data Warehousing and Analysis in the Cloud

In today's "instant this, instant that" world, the speed with which business decisions are made can have a huge impact on the success or failure of a project or product. Many organizations are turning to advanced analytics and Big Data tools to accelerate the transition from data to decision.

This IT Managers Journal looks at how new cloud-based data warehousing and analytics solutions can level the playing field for businesses that don't have resources to deploy sophisticated data warehousing and Big Data infrastructure, and how they can offer enterprises of all types and sizes access to advanced analytics tools that can quickly turn raw information into real business advantage.

Read the Gartner Magic Quadrant for Operational DBMS

Why Microsoft for your operational database management system?

When it comes to managing your data, the choice is clear: Microsoft is an industry leader in ODBMS. Don’t take our word for it; read Gartner’s assessment of the ODBMS landscape and see how Microsoft stacks up.

Gartner Magic Quadrant for Business Intelligence and Analytics Platforms

Why choose Microsoft for your business intelligence and analytics?

When it comes to analyzing your data, the choice is clear: Microsoft is an industry leader in business intelligence and analytics platforms. Read Gartner’s assessment of the business intelligence and analytics landscape to see how Microsoft stacks up.

Gartner has recognized Microsoft as a Leader — for the ninth year in a row — in the 2016 Magic Quadrant for Business Intelligence and Analytics Platforms, positioning it farthest to the right on the axis for completeness of vision.

Put The Business Back In Your Data Management Business Case

Looking for ways to be more efficient with your business IT? Trying to make the business case for data investment? Read this Forrester report to learn how to develop a business go-to team that informs your data strategy and frame that strategy as a business success story.

This independent report provides helpful insights to improve your data management model, better engage with stakeholders, and build business strategy into your data management efforts.

APP-GENERATIE REPORT

De hedendaagse jeugd is de eerste generatie die zijn identiteit ontleent aan technologie in plaats van aan cruciale politieke of economische gebeurtenissen. Deze jongeren voelen zich met elk technologisch aspect volledig op hun gemak en in ons boek "The App Generation: How Today’s Youth Navigate Identity, Intimacy, and Imagination in a Digital World", onthullen we nieuwe inzichten over de invloed van technologie op de identiteit van jongeren en de manier waarop zij de wereld zien.

Hypervisor-based Replication

Virtualization of the data center has proven to be a true IT game-changer, providing increased flexibility and control in managing production workloads, as well as significantly streamlining the implementation and operational support. Organizations continue to expand their virtualization initiatives to private, public and hybrid cloud environments.

To more fully realize the benefits of virtualization and get the most out of their investments in the technology, organizations need to optimize all IT processes and activities for their virtual environment. This includes security, compliance, and Business Continuity/Disaster Recovery (BC/DR). Of the three, BC/DR is perhaps the most difficult because to date there have been no virtual-ready remote replication methods that organizations could adopt. That is all about to change.

Deep Learning in the Real World

The International Data Corporation estimates that by 2020, 40 zettabytes of data will be generated every day. Compare that to the current 2.5 quintillion bytes per day and it's easy to understand why businesses need a smarter way to wrangle exponentially growing data. What if you could automatically consume and process data such as tweets, chats, emails and more and integrate them into your data applications? Deep learning makes it easier than ever before.