cloud data analytics

Results 1 - 25 of 121Sort Results By: Published Date | Title | Company Name
Published By: TIBCO Software     Published Date: Feb 14, 2019
Digital business initiatives have expanded in scope and complexity as companies have increased the rate of digital innovation to capture new market opportunities. As applications built using fine-grained microservices and functions become pervasive, many companies are seeing the need to go beyond traditional API management to execute new architectural patterns and use cases. APIs are evolving both in the way they are structured and in how they are used, to not only securely expose data to partners, but to create ecosystems of internal and/or third-party developers. In this datasheet, learn how you can use TIBCO Cloud™ Mashery® to: Create an internal and external developer ecosystem Secure your data and scale distribution Optimize and manage microservices Expand your partner network Run analytics on your API performance
Tags : 
    
TIBCO Software
Published By: Cohesity     Published Date: Aug 09, 2019
An Italian bank with an appetite for innovation and infrastructure standardization, automated, and cloud-ready Cohesity Data platform. In two years, the organization has simplified its secondary stage environment with a single data management pane to improve backup SLAs, cut costs, and deliver up-to-date and relevant data for test & dev and analytics teams at scale to test fast, fail fast, and innovate fast.
Tags : 
    
Cohesity
Published By: Comcast Business     Published Date: Feb 06, 2019
Just like your business, technology never stops advancing. Each year, there are new ways that technology can automate processes, lower costs, and enhance customer and employee satisfaction - all with the goal of increasing revenue! And while it can be difficult to change how your business works, leaving old methods behind and embracing new technology can help lead your business to more success and growth.
Tags : 
network, technology, digital transformation, tech future, enterprise technology, networking, sd_wan, internet, ethernet, unified communication, digital initiative, digital first, cloud, sdn, software-defined-networking, gig speed, mobile, big data, analytics, automation
    
Comcast Business
Published By: Comcast Business     Published Date: Feb 06, 2019
The technology landscape in the financial services sector is vast, ranging from cutting-edge to mission-critical, each having an impact on the industry as a whole. Customer-facing services and back-end operations alike are seeing real benefits from innovation, including greater efficiencies and higher levels of customer satisfaction.
Tags : 
network, technology, digital transformation, tech future, enterprise technology, networking, sd_wan, internet, ethernet, unified communication, digital initiative, digital first, cloud, sdn, software-defined-networking, gig speed, mobile, big data, analytics, automation
    
Comcast Business
Published By: Comcast Business     Published Date: Feb 06, 2019
The rate at which technology is evolving is increasing almost exponentially. In the business sector, hardware has given way to software-defined everything, while many on-premises technologies are now offered as a service. Much of the advances in technology over the last few years have been the direct result of the growing ubiquity of the cloud and faster connectivity speeds, both of which have enabled companies to adopt digital transformation technologies to help them work smarter and more efficiently.
Tags : 
network, technology, digital transformation, tech future, enterprise technology, networking, sd_wan, internet, ethernet, unified communication, digital initiative, digital first, cloud, sdn, software-defined-networking, gig speed, mobile, big data, analytics, automation
    
Comcast Business
Published By: Zaloni     Published Date: Apr 24, 2019
Why your data catalog won’t deliver significant ROI According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not. That’s a ringing endorsement of data catalogs, and a growing number of enterprises seem to agree. In fact, the global data catalog market is expected to grow from US$210.0 million in 2017 to US$620.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.2%. Why such large and intensifying demand for data catalogs? The primary driver is that many organizations are working to modernize their data platforms with data lakes, cloud-based data warehouses, advanced analytics and various SaaS applications in order to grow profitable digital initiatives. To support these digital initiatives and other business imperatives, organizations need more reliable, faster access to their data. However, modernizing data plat
Tags : 
    
Zaloni
Published By: Cisco     Published Date: Feb 13, 2015
Get your IDC report on how enterprises are adopting both private and hybrid cloud computing models for business. Learn about their challenges, and how Cisco Intercloud Fabric helps to address them.
Tags : 
hybrid cloud, cloud management, mobility, virtualization, data analytics, internet of things, it department, cloud computing, big data
    
Cisco
Published By: AWS     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
Tags : 
    
AWS
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
Tags : 
    
Oracle CX
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
Tags : 
    
Oracle CX
Published By: Oracle CX     Published Date: Oct 20, 2017
Oracle’s new cloud platform, included a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics. Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in memory and can prevent hacking explo
Tags : 
    
Oracle CX
Published By: Oracle CX     Published Date: Oct 20, 2017
On Thursday June 30th, we announced Oracle’s new cloud platform, including a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics. Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in
Tags : 
    
Oracle CX
Published By: Dome9     Published Date: Apr 25, 2018
Last year at this time, we forecast a bumpy ride for infosec through 2017, as ransomware continued to wreak havoc and new threats emerged to target a burgeoning Internet of Things (IoT) landscape. ‘New IT’ concepts – from DevOps to various manifestations of the impact of cloud – seemed poised to both revolutionize and disrupt not only the implementation of security technology, but also the expertise required of security professionals as well. Our expectations for the coming year seem comparatively much more harmonious, as disruptive trends of prior years consolidate their gains. At center stage is the visibility wrought by advances in data science, which has given new life to threat detection and prevention – to the extent that we expect analytics to become a pervasive aspect of offerings throughout the security market in 2018. This visibility has unleashed the potential for automation to become more widely adopted, and not a moment too soon, given the scale and complexity of the thre
Tags : 
    
Dome9
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Oracle Autonomous Data Warehouse Cloud is more than just a new way to store and analyze data; it’s a whole new approach to getting more value from your data. Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge. Data warehouses remain at the heart of these business intelligence (BI) initiatives, but traditional data-warehouse projects are complex undertakings that take months or even years to deliver results. Relying on a cloud provider accelerates the process of provisioning data-warehouse infrastructure, but in most cases database administrators (DBAs) still have to install and manage the database platform, then work with the line-of-business leaders to build the data model and analytics. Once the warehouse is deployed—either on premises or in the cloud—they face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets. Oracle has a better way. Download this whitepaper to f
Tags : 
    
Oracle EMEA
Published By: TreasureData     Published Date: May 14, 2012
Treasure Data is going to change the way that you think about Big Data and Cloud Data Warehousing. We'd like to get your input on how you see Big Data and Cloud Data Warehousing. Please take our 10 question survey and give us your input.
Tags : 
treasuredata, data warehousing, cloud, big data, solution, data-driven, tables, queries, analytics, infrastructure, storage, billing, visualization
    
TreasureData
Published By: Juniper Networks     Published Date: Oct 19, 2015
A new wave of application workloads and associated data traffic - related to virtualization, cloud, mobility, analytics, and social media — have placed unprecedented strain on the datacenter network and forced commensurate architectural and operational changes.
Tags : 
juniper, network, cloud, datacenter, virtualization, data, traffic, analytics
    
Juniper Networks
Published By: Oracle     Published Date: May 13, 2017
Each chapter is illustrated by examples from successful businesses that have embraced digital technologies and the best practices being implemented so that CFOs and their finance teams have the opportunity to become the new organisational wide digital guidance system for their business.
Tags : 
modern finance, digital age, cloud, social, mobile, big data, big data analytics, digital transformation
    
Oracle
Published By: Dell EMC     Published Date: Nov 02, 2015
Read IDC’s Flash Survey and learn about how the digital transformation for industries, governments and economies is based on the three key enterprise IT mega trends: the modernization of IT legacy; harnessing cloud, mobile, big data analytics and social business; and innovation acceleration.
Tags : 
emc, idc, flash, digital, enterprise, analytics
    
Dell EMC
Published By: Oracle Analytics     Published Date: Oct 06, 2017
Business decision making is undergoing a data-infused renaissance. Organizations are tired of the limitations of spreadsheets and dealing with long IT business intelligence (BI) development cycles just to gain access to the data they need now. Fortunately, with the advent of visual analytics and discovery tools (many offered in the cloud), the journey to data insight is getting simpler and faster. Rather than trying to divine meaning from a group of predefined reports or simple static dashboards, visual analytics helps users gain insights from data more quickly using intuitive data visualization. Increasingly, visual analytics tools provide easy-touse data preparation features for better data access. They support collaboration, mashups, and storytelling. TDWI Research sees growing interest in applying more modern, up-to-date tools for working with data.
Tags : 
    
Oracle Analytics
Published By: Oracle Analytics     Published Date: Oct 06, 2017
Empowered with mobile and cloud-based access to a myriad of products and services, customers now have a variety of options at their fingertips with regards to partnerships. Enterprises that do not follow the ever-changing tastes and preferences of their customers, or that wait too long to react, will fall behind and fail. Across functions, business professionals readily require big data tools and insights to understand and serve these customers. It is no longer an option for business users to rely on IT to deliver customer and other relevant analytics. On the flipside, handing the analytics reins entirely to business users can make governance nearly impossible. Organizations must find balance in a new approach in which IT mostly governs and curates data while business users are empowered to derive insights from data mostly ontheir own without delay.
Tags : 
    
Oracle Analytics
Published By: Sage Software (APAC)     Published Date: May 02, 2018
Data overload have burdened practically every largescale enterprise today. It’s vital for competitive enterprise not only to find solutions that will deliver the right data at the right time, but also be confident that the data they are looking at is governed and trusted. Sage Business Cloud Enterprise Management enables businesses to gain real-time access to data and make critical business decisions; achieve a better ROI while reducing IT overhead; automate data integration and deliver a 360-degree view of the businesses; mitigate data security risks and comply with legal regulations. Download this whitepaper and discover how to overcome some common challenges of information overload to increase your business insight and visibility.
Tags : 
    
Sage Software (APAC)
Published By: IBM     Published Date: Jun 16, 2015
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
Tags : 
cloud computing, mobility, big data, business analytics, it security landscape, enterprise networks, cloud integration, virtualization
    
IBM
Published By: IBM     Published Date: Jul 07, 2015
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
Tags : 
the cloud, mobile, mobility, social, analytics, networks, enterprise network, big data, network infrastructure
    
IBM
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Hear Masood Heydari, SVP of SPARC Engineering, discuss details of Oracle's servers designed for cloud and scale-out, which provide security by default, better core efficiency for cloud apps, and accelerate data analytics at X86 commodity cost points
Tags : 
    
Oracle PaaS/IaaS/Hardware
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Learn how to create cloud infrastructure that's secure by default and has better core efficiency for Java, database, and big data. Oracle's servers offer hardware acceleration of data analytics and machine learning, with 10X better time-to-insight.
Tags : 
    
Oracle PaaS/IaaS/Hardware
Start   Previous   1 2 3 4 5    Next    End
Search Resource Library