Developing for and in the cloud has never been more dependent on data. Flexibility, performance, security—your applications need a database architecture that matches the innovation of your ideas.
Industry analyst Ovum explored how Azure Cosmos DB is positioned to be the flagship database of internet-based products and services, and concluded that Azure Cosmos DB “is the first to open up [cloud] architecture to data that is not restricted by any specific schema, and it is among the most flexible when it comes to specifying consistency.”
From security and fraud detection to consumer and industrial IoT, to personalized e-commerce and social and gaming networks, to smart utilities and advanced analytics, Azure Cosmos DB is how Microsoft is structuring the database for the age of cloud.
Read the full report to learn how a globally distributed, multi-model data service can support your business objectives. Fill out the short form above to download the free research paper.
Spend more time building great apps and less time managing server infrastructure. Get your solutions to market faster using Azure Functions, a fully managed compute platform for processing data, integrating systems, and building simple APIs and microservices. In this e-book you’ll find use cases, hands-on steps, and tutorials for quickly configuring your own serverless environments. Explore best practices for Functions, and learn how to:
Develop event-based handlers on a serverless architecture.
Test, troubleshoot, and monitor Azure functions.
Automate administrative tasks from development through to deployment and maintenance.
Integrate Functions with other Azure services.
Build stateful serverless apps and self-healing jobs using Durable Functions.
Download the 325-page serverless computing e-book and get access to dozens of step-by-step recipes for quickly building serverless apps.
Published By: Flexera
Published Date: May 06, 2019
Using new technology to set your business apart can make the difference between getting ahead or falling behind. But staying in control of the growing complexity is a challenge. Enterprise Architecture (EA), IT Service Management (ITSM) and Security teams need enriched technology asset data and accurate analytics so they can keep the enterprise running like a well-oiled machine.
Join us to hear R “Ray” Wang, Principal Analyst and Founder of Constellation Research, and Alan Lopez, Senior Director of Global Product Marketing from Flexera, discuss use cases where asset data and analytics are becoming business-critical.
Watch the webinar.
A five-year-long quest for software-defined application delivery and services came to a fruitful end for this $4 billion enterprise when they chose Avi Networks and Cisco ACI as part of their move to a next generation data center architecture. Avi Networks represented the perfect complement to the network automation benefits delivered by Cisco ACI at the company.
Published By: CDW - APC
Published Date: Apr 07, 2016
Open Compute has had a significant impact on the thinking about data center design. Until now, the focus has been on systems at the rack level, leaving unanswered questions about the power infrastructure upstream of the rack. In this paper, we address critical questions about the implications of Open Compute on the upstream power infrastructure, including redundancy, availability, and flexibility. We introduce simplified reference designs that support OCP and provide a capital cost analysis to compare traditional and OCP-based designs. We also present an online TradeOff Tool that allows data center decision makers to better understand the cost differences and cost drivers to various architectures.
Published By: CDW - APC
Published Date: Apr 07, 2016
Prefabricated modular data centers offer many advantages over traditionally built data centers, including flexibility, improved predictability, and faster speed of deployment. Cost , however, is sometimes stated as a barrier to deploying these designs. In this
paper, we focus on quantifying the capital cost differences of a prefabricated vs. traditional 440 kW data center, both built with the same power and cooling architecture, in order to highlight the key cost drivers, and to demonstrate that prefabrication does not come at a capex premium . The analysis was completed and validated with Romonet’s Cloud-based Analytics Platform, a vendor-neutral industry resource.
Data Fabric is NetApp’s vision for the future of data management. A data fabric seamlessly connects different data management environments across disparate clouds into a cohesive, integrated whole.
A Data Fabric enabled by NetApp® helps organizations maintain control and choice in how they manage, secure, protect, and access their data across the hybrid cloud, no matter where it is.
Although the data fabric is constantly evolving, organizations can start taking advantage of it today using NetApp technologies that enable data management and seamless data movement across the hybrid cloud.
Today AMP Ltd. integrates and manages its customer data more efficiently using a single Talend platform that enables data reconciliation, quality-assessment dashboards, and metadata management. Ten billion rows of AMP Ltd. data are computed in less than an hour.
In this webinar you will learn how you can modernize your data architecture to help you collect and validate data, act upon it, and transform your organization for the digital age.
Virtualization reduces the number of physical servers IT needs to provision and maintain, but it also transforms the data protection paradigm. Now businesses can recover from failures in minutes, not hours, with unprecedented affordability.
Since the SQL Access Group created the Call Level Interface, ODBC has become the most ubiquitous method for connecting to relational database sources. ODBC was developed to allow programmers to access relational data in a uniform manner, regardless of the database backend. ODBC translates those generic commands into the specific esoteric commands of the database backend, so the quality of the driver directly determines the performance of the database connectivity layer. Learn more today!
Connecting to a database requires a number of independent layers. The application needs to incorporate software that establishes the connection and calls to the database. A database connectivity layer needs to be in place to help manage security, communications, and data flow with the database. The database has a set of interfaces that help translate the client requests into actions within the database engine. And with the advent of .NET, the costs of managed versus non-managed code must also be considered.
In this paper, we highlight the features necessary to move beyond server virtualization by leveraging key integration capabilities between IT components, with a particular focus on the role that storage plays in the evolution of the data center.
Why do industry analysts agree Silver Peak is the WAN Optimization vendor of choice for offsite data replication? It starts with a unique, next generation architecture. Conceived from the ground up to optimize all IP applications, regardless of transport protocol or application version.
The Enterprise Strategy Group discusses how data center consolidation, virtualization, and cloud architectures are on the rise; however IT budgets are not increasing. This poses a unique challenge: How do you crease a flexible and agile environment without increasing the cost? See ESG’s analysis of WAN optimization benefits and how your peers are increasing their ROI and lowering their TCO.
According to Forrester, most organizations today are only using 12% of their available data and only 37% of organizations are planning some type of big data technology project. At a time when companies are seeing volume of information increase quickly, it’s time to take a step back and look at the impact of big data.
Join Mike Gualtieri, Principal Analyst at Forrester, for this webcast exploring the importance of integration in your big data initiatives. Discover how your ability to operate, make decisions, reduce risks and serve customers is inextricably linked to how well you’re able to handle your big data.
Continue on to gain insight into:
•3 key big data management activities you need to consider
•Technologies you need to create for your big data ecosystem
•A multi-dimensional view of the customer is the holy grail of individualization
•Overcoming key integration challenges
Published By: Rackspace
Published Date: Mar 08, 2016
Watch as industry experts discuss strategies for overcoming design, deployment, and monitoring challenges in a Microsoft Cloud Platform environment. They examine real-life situations in which Rackspace architected and deployed Microsoft Private Cloud at scale, across multiple geographies. You’ll get first-hand what Red Hat has learned along the way, such as how to approach the integration of Database-as-a-Service (DBaaS) functionality, designing resilient architectures and failover, as well as building for scale.
Published By: SnowFlake
Published Date: Jul 08, 2016
Today’s data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywhere—not just enterprise applications, but also websites, log files, social media, sensors, web services, and more. Organizations want to make that data available to all of their analysts as quickly as possible, not limit access to only a few highly-skilled data scientists. However, these efforts are quickly frustrated by the limitations of current data warehouse technologies. These systems simply were not built to handle the diversity of today’s data and analytics. They are based on decades-old architectures designed for a different world, a world where data was limited, users of data were few, and all processing was done in on-premises data centers.
Published By: Fujitsu
Published Date: Feb 06, 2017
Data center infrastructure complexity must be tamed, as mobility, cloud networking and social media demand fast and agile approaches to data delivery. You can overcome these obstacles and improve your data center operations by consolidating your systems and deploying virtualization, using the Fujitsu PRIMEFLEX vShape reference architecture. Get the e-Book.
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