Welcome!

News Feed Item

Web Analytics Market by Solution (Search Engine Tracking & Ranking, Heat Map Analytics, Marketing Automation, Behavior Based Targeting) & by Services (Professional Services, Support & Maintenance) - Worldwide Forecasts & Analysis (2014 - 2019)

NEW YORK, Aug. 11, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Web Analytics Market by Solution (Search Engine Tracking & Ranking, Heat Map Analytics, Marketing Automation, Behavior Based Targeting) & by Services (Professional Services, Support & Maintenance) - Worldwide Forecasts & Analysis (2014 – 2019)

http://www.reportlinker.com/p02275774/Web-Analytics-Market-by-Solution-Search-Engine-Tracking--Ranking-Heat-Map-Analytics-Marketing-Automation-Behavior-Based-Targeting--by-Services-Professional-Services-Support--Maintenance---Worldwide-Forecasts--Analysis-2014-–-2019.html

The web analytics market analysis consists of various types of solutions and services, applications, deployment types, verticals, and regions. The overall market size is found by adding up the market size of each solution and services such as web engine, indexing and analysis, software query, engine reports and dashboards, professional services and support, maintenance services, and others.

In web analytics, each solution and service is playing an important role in the market. These solutions and services support various applications including social media management, targeting and behavioral analysis, display advertising optimization, multichannel campaign analysis and performance monitoring and other applications.

Most of the enterprises are focusing on marketing effectiveness, reducing causes of attrition of consumers, enhancing customer experience for competitive, and market intelligence. Web analytics helps to gain behavioral insight through various solutions. The web analytics solutions help companies to monitor the customer interaction and trends, which in turn helps them to support their marketing strategies. Hence, the increased focus on web marketing and ads campaigning and increasing e-commerce is one of the major drivers for the web analytics market.

A new innovation, such as real-time web analytics, is higher version of traditional web analytics. Real-time web analytics offers a great help for enterprises by analyzing customer interactions while they happen. It helps in gaining the greatest business assets that's the insight about the customer behavior and empowers the marketers and ad publishers and companies to take the next best action.

The report is expected to help the market leaders/new entrants in this market in the following ways:

1. This report segments the market into solutions and services, covering this market comprehensively. The report provides the closest approximations of the revenue numbers for the overall market and the subsegments. The market numbers are further split across the applications, deployment type, organization size, verticals, and regions.2. This report will help them better understand the competitor and gain more insights to better position their business. There is a separate section on competitive landscape that includes competitors' ecosystem and their roles in the market. Besides, there are company profiles of the top 10 players in this market. In this section, market internals are provided that can put them ahead of the competitors.3. The report helps them to understand the overall growth of the market. The report provides information and analysis of key market drivers, restraints, challenges, and opportunities.

1 INTRODUCTION 16

1.1 OBJECTIVES 161.2 REPORT DESCRIPTION 161.3 MARKETS COVERED 171.4 STAKEHOLDERS 191.5 RESEARCH METHODOLOGY 191.5.1 KEY DATA FROM PRIMARY & SECONDARY SOURCES 191.5.2 DATA TRIANGULATION & MARKET FORECASTING 201.6 FORECAST ASSUMPTIONS 21

2 EXECUTIVE SUMMARY 22

2.1 ABSTRACT 222.2 OVERALL MARKET SIZE 23

3 MARKET OVERVIEW 25

3.1 MARKET DEFINITION 263.2 MARKET EVOLUTION 273.3 MARKET SEGMENTATION 283.4 MARKET DYNAMICS 293.4.1 DRIVERS 293.4.1.1 Increasing Shift to Data Driven Businesses 293.4.1.2 Ceaseless Rise in Online Shopping 293.4.1.3 Marketing Automation 293.4.2 RESTRAINTS 303.4.2.1 Data Privacy and Regulations' Compliance 303.4.2.2 Open Source Vendors 303.4.3 OPPORTUNITIES 303.4.3.1 Multi-channel Marketing 303.4.3.2 Increasing Cloud Adoption Trend 313.4.3.3 Need of predictive analytics 313.4.4 IMPACT ANALYSIS OF DROS 323.4.5 VALUE CHAIN 33

4 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY SOLUTION 34

4.1 INTRODUCTION 354.2 SEARCH ENGINE TRACKING & RANKING 384.2.1 OVERVIEW 384.2.2 MARKET SIZE & FORECAST 394.3 HEAT MAP ANALYTICS 404.3.1 OVERVIEW 404.3.2 MARKET SIZE & FORECAST 404.4 MARKETING AUTOMATION 414.4.1 OVERVIEW 414.4.2 MARKET SIZE & FORECAST 424.5 BEHAVIOR-BASED TARGETING 434.5.1 OVERVIEW 434.6 OTHERS 444.6.1 OVERVIEW 444.6.2 MARKET SIZE & FORECAST 44

5 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY SERVICE 46

5.1 INTRODUCTION 475.2 PROFESSIONAL SERVICES 505.2.1 OVERVIEW 505.2.2 MARKET SIZE & FORECAST 505.3 SUPPORT & MAINTENANCE 515.3.1 OVERVIEW 515.3.2 MARKET SIZE & FORECAST 52

6 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY DEPLOYMENT TYPE 53

6.1 INTRODUCTION 546.2 ON-DEMAND 566.2.1 OVERVIEW 566.2.2 MARKET SIZE & FORECAST 566.3 ON-PREMISE 576.3.1 OVERVIEW 576.3.2 MARKET SIZE & FORECAST 57

7 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY APPLICATION 58

7.1 INTRODUCTION 597.2 SOCIAL MEDIA MANAGEMENT 617.2.1 OVERVIEW 617.2.2 MARKET SIZE & FORECAST 627.3 TARGETING & BEHAVIORAL ANALYSIS 627.3.1 OVERVIEW 627.3.2 MARKET SIZE & FORECAST 637.4 DISPLAY ADVERTISING OPTIMIZATION 647.4.1 OVERVIEW 647.4.2 MARKET SIZE & FORECAST 647.5 MULTICHANNEL CAMPAIGN ANALYSIS 657.5.1 OVERVIEW 657.5.2 MARKET SIZE & FORECAST 657.6 PERFORMANCE MONITORING 667.6.1 OVERVIEW 667.6.2 MARKET SIZE & FORECAST 677.7 OTHERS 687.7.1 OVERVIEW 687.7.2 MARKET SIZE & FORECAST 68

8 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY VERTICAL 69

8.1 INTRODUCTION 708.2 RETAIL & CONSUMER GOODS 728.2.1 OVERVIEW 728.2.2 MARKET SIZE & FORECAST 738.3 BFSI 748.3.1 OVERVIEW 748.3.2 MARKET SIZE & FORECAST 758.4 GOVERNMENT 768.4.1 OVERVIEW 768.4.2 MARKET SIZE & FORECAST 778.5 TRAVEL & HOSPITALITY 788.5.1 OVERVIEW 788.5.2 MARKET SIZE & FORECAST 798.6 MEDIA & ENTERTAINMENT 808.6.1 OVERVIEW 808.6.2 MARKET SIZE & FORECAST 818.7 HEALTHCARE & LIFE SCIENCES 828.7.1 OVERVIEW 828.7.2 MARKET SIZE & FORECAST 838.8 TELECOMMUNICATION & IT 848.8.1 OVERVIEW 848.8.2 MARKET SIZE & FORECAST 858.9 OTHERS 878.9.1 OVERVIEW 878.9.2 MARKET SIZE & FORECAST 87

9 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY REGION 89

9.1 INTRODUCTION 909.2 MARKET SIZE & FORECAST 909.2.1 PARFAIT CHART 919.2.2 REGIONAL MARKET LIFECYCLE 929.3 NORTH AMERICA 939.3.1 OVERVIEW 939.3.2 MARKET SIZE & FORECAST 949.4 EUROPE 979.4.1 OVERVIEW 979.4.2 MARKET SIZE & FORECAST 979.5 ASIA-PACIFIC 1009.5.1 OVERVIEW 1009.5.2 MARKET SIZE & FORECAST 1019.6 MIDDLE EAST & AFRICA 1049.6.1 OVERVIEW 1049.6.2 MARKET SIZE & FORECAST 1059.7 LATIN AMERICA 1089.7.1 OVERVIEW 1089.7.2 MARKET SIZE & FORECAST 108

10 COMPETITIVE LANDSCAPE 111

10.1 COMPETITIVE LANDSCAPE 11110.1.1 ECOSYSTEM & ROLES 11110.2 END-USER LANDSCAPE 11210.2.1 MARKET OPPORTUNITY ANALYSIS 11210.2.2 END-USER ANALYSIS 11310.2.2.1 High Adoption by Large Enterprises and SMBs in Retail Sector 11310.2.2.2 Increasing Online Shopping 11310.2.2.3 Demand for Digital Marketing 114

11 COMPANY PROFILES 115 (Overview, Products & Services, Strategies & Insights, Developments and MnM View)*

11.1 ADOBE SYSTEMS 11511.2 AT INTERNET 11811.3 GOOGLE 12111.4 IBM 12411.5 MICROSTRATEGY 12711.6 SAS 13011.7 SPLUNK 13311.8 TABLEAU SOFTWARE 13711.9 TERADATA CORPORATION 14011.10 WEBTRENDS 143*Details on Overview, Products & Services, Strategies & Insights, Developments and MnM View might not be captured in case of unlisted companies.APPENDIX 146- MERGERS AND ACQUISITIONS (M&A) 146- VENTURE CAPITAL TRENDS 153- SOCIAL TRENDS 157

LIST OF TABLES

TABLE 1 WEB ANALYTICS MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 23TABLE 2 WEB ANALYTICS MARKET GROWTH, BY REGION, 2015-2019 (Y-O-Y %) 24TABLE 3 WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 35TABLE 4 WEB ANALYTICS MARKET GROWTH, BY SOLUTION, 2015-2019 (Y-O-Y %) 37TABLE 5 WEB ANALYTICS SOLUTIONS MARKET SIZE, BY REGION, 2014-2019($MILLION) 37TABLE 6 SEARCH ENGINE TRACKING & RANKING MARKET SIZE, BY VERTICAL,2014-2019 ($MILLION) 39TABLE 7 HEAT MAP ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 40TABLE 8 MARKETING AUTOMATION MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 42TABLE 9 BEHAVIOR-BASED TARGETING MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 43TABLE 10 OTHER SOLUTIONS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 44TABLE 11 WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 47TABLE 12 WEB ANALYTICS MARKET GROWTH, BY SERVICE, 2015-2019 (Y-O-Y %) 48TABLE 13 WEB ANALYTICS SERVICES MARKET SIZE, BY REGION, 2014-2019($MILLION) 49TABLE 14 PROFESSIONAL SERVICES MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 50TABLE 15 SUPPORT AND MAINTENANCE MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 52TABLE 16 WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2019 ($MILLION) 54TABLE 17 WEB ANALYTICS MARKET GROWTH, BY DEPLOYMENT TYPE, 2015-2019 (Y-O-Y %) 55TABLE 18 ON-PREMISE MARKET SIZE, BY TYPE, 2014-2019 ($MILLION) 56TABLE 19 ON-DEMAND MARKET SIZE, BY TYPE, 2014-2019 ($MILLION) 57TABLE 20 WEB ANALYTICS MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 59TABLE 21 WEB ANALYTICS MARKET GROWTH, BY APPLICATION, 2015-2019 (Y-O-Y %) 61TABLE 22 SOCIAL MEDIA MANAGEMENT MARKET SIZE, BY REGION,2014-2019 ($MILLION) 62TABLE 23 TARGETING AND BEHAVIORAL ANALYSIS MARKET SIZE, BY REGION,2014-2019 ($MILLION) 63TABLE 24 DISPLAY ADVERTISING OPTIMIZATION MARKET SIZE, BY REGION,2014-2019 ($MILLION) 64TABLE 25 MULTICHANNEL CAMPAIGN ANALYSIS MARKET SIZE, BY REGION,2014-2019 ($MILLION) 65TABLE 26 PERFORMANCE MONITORINGANALYSIS MARKET SIZE, BY REGION,2014-2019 ($MILLION) 67TABLE 27 OTHER APPLICATIONS MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 68TABLE 28 WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 70TABLE 29 WEB ANALYTICS MARKET GROWTH, BY VERTICAL, 2015-2019 (Y-O-Y %) 72TABLE 30 RETAIL AND CONSUMER GOODS MARKET SIZE, BY APPLICATION,2014-2019 ($MILLION) 73TABLE 31 RETAIL AND CONSUMER GOODS MARKET SIZE, BY REGION,2014-2019 ($MILLION) 74TABLE 32 BFSI MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 75TABLE 33 BFSI MARKET SIZE, BY REGION,2014-2019 ($MILLION) 76TABLE 34 GOVERNMENT MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 77TABLE 35 GOVERNMENT MARKET SIZE, BY REGION,2014-2019 ($MILLION) 78TABLE 36 TRAVEL AND HOSPITALITY MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 79TABLE 37 TRAVEL AND HOSPITALITY MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 80TABLE 38 MEDIA AND ENTERTAINMENT MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 81TABLE 39 MEDIA AND ENTERTAINMENT MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 82TABLE 40 HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY APPLICATION,2014-2019 ($MILLION) 83TABLE 41 HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY REGION,2014-2019 ($MILLION) 84TABLE 42 TELECOMMUNICATION AND IT MARKET SIZE, BY APPLICATION,2014-2019 ($MILLION) 85TABLE 43 TELECOMMUNICATION AND IT MARKET SIZE, BY REGION,2014-2019 ($MILLION) 86TABLE 44 OTHER VERTICALS MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 87TABLE 45 OTHER VERTICALS MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 88TABLE 46 NORTH AMERICA: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 94TABLE 47 NORTH AMERICA: WEBANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 95TABLE 48 NORTH AMERICA: WEB ANALYTICS MARKET SIZE, BY VERTICAL,2014-2019 ($MILLION) 95TABLE 49 NORTH AMERICA: WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE,2014-2019 ($MILLION) 96TABLE 50 EUROPE: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 97TABLE 51 EUROPE: WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 98TABLE 52 EUROPE: WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 99TABLE 53 EUROPE: WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE,2014-2019 ($MILLION) 100TABLE 54 APAC: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 101TABLE 55 APAC: WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 102TABLE 56 APAC: WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 102TABLE 57 APAC: WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2019 ($MILLION) 103TABLE 58 MEA: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 105TABLE 59 MEA: WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 106TABLE 60 MEA: WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 106TABLE 61 MEA: WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2019 ($MILLION) 107TABLE 62 LATIN AMERICA: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 108TABLE 63 LATIN AMERICA:WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 109TABLE 64 LATIN AMERICA: WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 109TABLE 65 LATIN AMERICA: WEB ANALYTIC MARKET SIZE, BY DEPLOYMENT TYPE,2014-2019 ($MILLION) 110

LIST OF FIGURES

FIGURE 1 DATA TRIANGULATION 18FIGURE 2 WEB ANALYTICS MARKET: EVOLUTION 25FIGURE 3 WEB ANALYTICS MARKET: SEGMENTATION 26FIGURE 4 WEB ANALYTICS MARKET: TIME IMPACT ANALYSIS 30FIGURE 5 WEB ANALYTICS MARKET: VALUE CHAIN 31FIGURE 6 WEB ANALYTICS MARKET GROWTH, BY SOLUTION, 2015-2019 (Y-O-Y %) 34FIGURE 7 WEB ANALYTICS MARKET GROWTH, BY SERVICE, 2015-2019 (Y-O-Y %) 46FIGURE 8 WEB ANALYTICS MARKET GROWTH, BY DEPLOYMENT TYPE, 2015-2019 (Y-O-Y %) 53FIGURE 9 WEB ANALYTICS MARKET GROWTH, BY APPLICATION, 2015-2019 (Y-O-Y %) 58FIGURE 10 WEB ANALYTICS MARKET GROWTH, BY VERTICAL, 2015-2019 (Y-O-Y %) 69FIGURE 11 WEB ANALYTICS MARKET GROWTH, BY REGION, 2015-2019 (Y-O-Y %) 88FIGURE 12 REGION-WISE WEB ANALYTICS MARKET SIZE, 2014-2019 89FIGURE 13 WEB ANALYTICS: REGIONAL MARKET LIFECYCLE 90FIGURE 14 WEB ANALYTICS MARKET: ECOSYSTEM 109FIGURE 15 WEB ANALYTICS MARKET: OPPORTUNITY PLOT 110FIGURE 16 WEB ANALYTICS MARKET-SOCIAL TRENDS 155

To order this report: Web Analytics Market by Solution (Search Engine Tracking & Ranking, Heat Map Analytics, Marketing Automation, Behavior Based Targeting) & by Services (Professional Services, Support & Maintenance) - Worldwide Forecasts & Analysis (2014 – 2019) http://www.reportlinker.com/p02275774/Web-Analytics-Market-by-Solution-Search-Engine-Tracking--Ranking-Heat-Map-Analytics-Marketing-Automation-Behavior-Based-Targeting--by-Services-Professional-Services-Support--Maintenance---Worldwide-Forecasts--Analysis-2014-–-2019.html

Contact Clare: [email protected]: (339)-368-6001Intl: +1 339-368-6001

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
"We've discovered that after shows 80% if leads that people get, 80% of the conversations end up on the show floor, meaning people forget about it, people forget who they talk to, people forget that there are actual business opportunities to be had here so we try to help out and keep the conversations going," explained Jeff Mesnik, Founder and President of ContentMX, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
SYS-CON Events announced today that Isomorphic Software will exhibit at DevOps Summit at 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. Isomorphic Software provides the SmartClient HTML5/AJAX platform, the most advanced technology for building rich, cutting-edge enterprise web applications for desktop and mobile. SmartClient combines the productivity and performance of traditional desktop software with the simp...
In his session at @DevOpsSummit at 19th Cloud Expo, Yoseph Reuveni, Director of Software Engineering at Jet.com, will discuss Jet.com's journey into containerizing Microsoft-based technologies like C# and F# into Docker. He will talk about lessons learned and challenges faced, the Mono framework tryout and how they deployed everything into Azure cloud. Yoseph Reuveni is a technology leader with unique experience developing and running high throughput (over 1M tps) distributed systems with extre...
"When you think about the data center today, there's constant evolution, The evolution of the data center and the needs of the consumer of technology change, and they change constantly," stated Matt Kalmenson, VP of Sales, Service and Cloud Providers at Veeam Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
"There's a growing demand from users for things to be faster. When you think about all the transactions or interactions users will have with your product and everything that is between those transactions and interactions - what drives us at Catchpoint Systems is the idea to measure that and to analyze it," explained Leo Vasiliou, Director of Web Performance Engineering at Catchpoint Systems, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York Ci...
As companies gain momentum, the need to maintain high quality products can outstrip their development team’s bandwidth for QA. Building out a large QA team (whether in-house or outsourced) can slow down development and significantly increases costs. This eBook takes QA profiles from 5 companies who successfully scaled up production without building a large QA team and includes: What to consider when choosing CI/CD tools How culture and communication can make or break implementation
Internet of @ThingsExpo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with the 19th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world and ThingsExpo Silicon Valley Call for Papers is now open.
Extreme Computing is the ability to leverage highly performant infrastructure and software to accelerate Big Data, machine learning, HPC, and Enterprise applications. High IOPS Storage, low-latency networks, in-memory databases, GPUs and other parallel accelerators are being used to achieve faster results and help businesses make better decisions. In his session at 18th Cloud Expo, Michael O'Neill, Strategic Business Development at NVIDIA, focused on some of the unique ways extreme computing is...
I wanted to gather all of my Internet of Things (IOT) blogs into a single blog (that I could later use with my University of San Francisco (USF) Big Data “MBA” course). However as I started to pull these blogs together, I realized that my IOT discussion lacked a vision; it lacked an end point towards which an organization could drive their IOT envisioning, proof of value, app dev, data engineering and data science efforts. And I think that the IOT end point is really quite simple…
"We view the cloud not really as a specific technology but as a way of doing business and that way of doing business is transforming the way software, infrastructure and services are being delivered to business," explained Matthew Rosen, CEO and Director at Fusion, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Redis is not only the fastest database, but it is the most popular among the new wave of databases running in containers. Redis speeds up just about every data interaction between your users or operational systems. In his session at 19th Cloud Expo, Dave Nielsen, Developer Advocate, Redis Labs, will share the functions and data structures used to solve everyday use cases that are driving Redis' popularity.
Aspose.Total for .NET is the most complete package of all file format APIs for .NET as offered by Aspose. It empowers developers to create, edit, render, print and convert between a wide range of popular document formats within any .NET, C#, ASP.NET and VB.NET applications. Aspose compiles all .NET APIs on a daily basis to ensure that it contains the most up to date versions of each of Aspose .NET APIs. If a new .NET API or a new version of existing APIs is released during the subscription peri...
Organizations planning enterprise data center consolidation and modernization projects are faced with a challenging, costly reality. Requirements to deploy modern, cloud-native applications simultaneously with traditional client/server applications are almost impossible to achieve with hardware-centric enterprise infrastructure. Compute and network infrastructure are fast moving down a software-defined path, but storage has been a laggard. Until now.
"My role is working with customers, helping them go through this digital transformation. I spend a lot of time talking to banks, big industries, manufacturers working through how they are integrating and transforming their IT platforms and moving them forward," explained William Morrish, General Manager Product Sales at Interoute, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
To leverage Continuous Delivery, enterprises must consider impacts that span functional silos, as well as applications that touch older, slower moving components. Managing the many dependencies can cause slowdowns. See how to achieve continuous delivery in the enterprise.