"Agile" software development is an increasingly popular development process for producing software in a flexible and iterative manner that can deliver value to the enterprise faster, reduce project risk and allow adaptation to changes more quickly.
Published By: Datastax
Published Date: Sep 27, 2019
Smartphones, smart cities, smart homes, smart cars—IoT has triggered a data explosion, and not every enterprise is prepared to handle it.
Beyond collecting and analyzing the increasing volume of data, organizations must figure out how to manage the velocity of that data, as well as how to integrate it with multiple data sources. And that’s just scratching the surface of the IoT challenge. To extract business value out of this inpouring of data, and to take full advantage of IoT boosted by new 5G technology, IT organizations must consider five key technologies.
In this ebook, you’ll learn about these five technologies and their benefits. To continue to develop and scale your IoT-driven applications, your infrastructure needs to be able to handle sensor data at velocity, keep data close to the edge, maintain 100% uptime, and make it easy to extract business value. The insights you’ll discover in this ebook will not only help you prepare your organization for this reality; they’ll also
One of the most frustrating aspects of the measurement of severe pyroshock events is the acceleration offset that almost invariably occurs. Dependent on its magnitude, this can result in large, low-frequency errors in both shock response spectra (SRS) and velocity-based damage analyses.
Fortunately, recent developments in accelerometer technology, signal conditioning, and data acquisition systems have reduced these errors significantly. Best practices have been demonstrated to produce offset errors less than 0.25% of Peak-Peak value in measured near-field pyrotechnic accelerations: a remarkable achievement.
This paper will discuss the sensing technologies, including both piezoelectric and piezoresistive, that have come together to minimize these offsets. More important, it will document the many other potential contributors to these offsets. Included among these are accelerometer mounting issues, cable and connector sources, signal conditioning amplitude range/bandwidth, and digitizi
IT is undergoing a significant transformation as businesses look to streamline costs and roll out a new class of cloud-based applications driven by a changing digital economy. The IT infrastructure as we know it today is not well equipped to improve on the cost structure for traditional workloads nor handle the velocity demands of a new generation of workloads where IT is a focal point for competitive differentiation. As one approach to address these changing demands of IT, vendors are bringing to market new solutions under a new category called “composable infrastructure”.
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
Published By: Oracle CX
Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
Published By: Oracle CX
Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business,
mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and
enough compute power to deliver the performance required in a rapidly evolving digital marketplace.
Customers increasingly drive the speed of business, and organizations need to engage with customers
on their terms. The need to manage sensitive information with high levels of security as well as
capture, analyze, and act upon massive volumes of data every hour of every day has become critical.
These challenges will dramatically change the way that IT systems are designed, funded, and run
compared to the past few decades. Databases and Java have become the de facto language in which
modern, cloud-ready applications are written. The massive explosion in the volume, variety, and
velocity of data increases the need for secure and effective analytics so that organizations can make
Published By: Dell EMC
Published Date: Nov 09, 2015
While the EDW plays an all-important role in the effort to leverage big data to drive business value, it is not without its challenges. In particular, the typical EDW is being pushed to its limits by the volume, velocity and variety of data.
Download this whitepaper and see how the Dell™ | Cloudera™ | Syncsort™ Data Warehouse Optimization – ETL Offload Reference Architecture can help.
In the last few years there have been radical changes in the ways organizations operate and people work. Explosion of data, increased mobile demands, and the globalization of business in general are making 24/7 access to people and information the norm. Sophisticated cyber attacks are requiring robust systems security designed to counter new threats. And velocity is now essential when delivering new IT services.
This Panaya whitepaper explores methodologies and best practices for achieving IT agility for critical enterprise applications (ERP) in the era of digital transformation. It provides a unique perspective about how to increase IT velocity while minimizing IT risk and ensuring quality in a traditional IT environment.
Software drives competitive advantage more than ever at an increasing velocity for releases along with higher, overwhelming levels of deployment complexity.
Dramatic growth in mobile applications, analytics, systems of engagement, and cloud demands that organizations respond adaptively, even as resource constraints make it challenging to nearly impossible to do so. As a result of these combined factors, IDC sees increased interest in, demand for, and adoption of agile approaches to development and also for business initiatives driving adoption of agile approaches to overall project, program, and portfolio management. As we receive inquiry on this area increasingly, it makes sense to assess this market.
Today’s organizations are challenged to be the first to market with ‘The Next Big Thing’. They must innovate with new and unique services to satisfy customer demands and differentiate themselves in the marketplace. Software drives that innovation and has turned every organization into a software organization.
This Executive Brief describes how the efficient collaboration between the development and IT operations teams can bring high-quality applications to market as quickly as possible.
The CA Application Delivery suite helps organizations achieve collaborative DevOps through innovative technology tools used to:
•Accelerate application development by removing constraints with CA LISA® Service Virtualization.
•Expedite release time with CA LISA® Release Automation.
•Improve application testing and quality with CA LISA® Pathfinder
The enormous volume, velocity and variety of data flooding the enterprise, along with the push for analytics and business intelligence, is creating a massive challenge that is overwhelming traditional storage approaches. As the demand for capacity continues to escalate, companies must be able to effectively and dynamically manage the storage supply, but also the demand for storage resources. The key is to optimize the infrastructure through standardization and virtualization, and replace manual tasks with policy-based automation.
Every day, torrents of data inundate IT organizations and overwhelm
the business managers who must sift through it all to
glean insights that help them grow revenues and optimize
profits. Yet, after investing hundreds of millions of dollars into
new enterprise resource planning (ERP), customer relationship
management (CRM), master data management systems (MDM),
business intelligence (BI) data warehousing systems or big data
environments, many companies are still plagued with disconnected,
“dysfunctional” data—a massive, expensive sprawl of
disparate silos and unconnected, redundant systems that fail to
deliver the desired single view of the business.
To meet the business imperative for enterprise integration and
stay competitive, companies must manage the increasing variety,
volume and velocity of new data pouring into their systems from
an ever-expanding number of sources. They need to bring all
their corporate data together, deliver it to end users as quickly as
possible to maximize
Extending DevOps to mainframe applications and teams is essential towards the agility and velocity that enterprises require to remain innovative in today’s turbulent digital business environment.
• For enterprises with mainframes, trying to achieve the benefits of Digital Transformation without dealing with existing mainframe assets is a fool’s errand.
• Breaking down silos and moving to DevOps is central to what it means to undergo Digital Transformation.
• Including the mainframe in modern software development approaches can improve quality overall, reduce test cycles and deployment timeframes, and ensure mainframe-based applications support the end-to-end performance requirements that today’s customers demand.
Published By: Datastax
Published Date: Dec 27, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
Published By: Trifacta
Published Date: Feb 12, 2019
In recent years, a new term in data has cropped up more frequently: DataOps. As an adaptation of the software development methodology DevOps, DataOps refers to the tools, methodology and organizational structures that businesses must adopt to improve the velocity, quality and reliability of analytics. Widely recognized as the biggest bottleneck in the analytics process, data preparation is a critical element of building a successful DataOps practice by providing speed, agility and trust in data.
Join guest speaker, Forrester Senior Analyst Cinny Little, for this latest webinar focusing on how to successfully select and deploy a data preparation solution for DataOps. The presentation will include insights on data preparation found in the Forrester Wave™: Data Preparation Solutions, Q4 2018.
In this recorded webinar you will learn:
• Where does data preparation fit within DataOps
• What are the key technical & business differentiators of data preparation solutions
• How to align the righ
This eBook, Accelerate Cash Flow: Optimizing Your Two Sources of Revenue, provides several best practices for you to review and incorporate into your revenue cycle process. Please download the eBook to learn more helpful tips.
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