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
In the world of DevOps there are ‘known good practices’ – aka ‘patterns’ – and ‘known bad practices’ – aka ‘anti-patterns.' Many of these patterns and anti-patterns have been developed from real world experience, especially by the early adopters of DevOps theory; but many are more feasible in theory than in practice, especially for more recent entrants to the DevOps scene. In this power panel at @DevOpsSummit at 18th Cloud Expo, moderated by DevOps Conference Chair Andi Mann, panelists discussed...
After more than five years of DevOps, definitions are evolving, boundaries are expanding, ‘unicorns’ are no longer rare, enterprises are on board, and pundits are moving on. Can we now look at an evolution of DevOps? Should we? Is the foundation of DevOps ‘done’, or is there still too much left to do? What is mature, and what is still missing? What does the next 5 years of DevOps look like? In this Power Panel at DevOps Summit, moderated by DevOps Summit Conference Chair Andi Mann, panelists loo...
New competitors, disruptive technologies, and growing expectations are pushing every business to both adopt and deliver new digital services. This ‘Digital Transformation’ demands rapid delivery and continuous iteration of new competitive services via multiple channels, which in turn demands new service delivery techniques – including DevOps. In this power panel at @DevOpsSummit 20th Cloud Expo, moderated by DevOps Conference Co-Chair Andi Mann, panelists examined how DevOps helps to meet the de...
"Loom is applying artificial intelligence and machine learning into the entire log analysis process, from start to finish and at the end you will get a human touch,” explained Sabo Taylor Diab, Vice President, Marketing at Loom Systems, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
A look across the tech landscape at the disruptive technologies that are increasing in prominence and speculate as to which will be most impactful for communications – namely, AI and Cloud Computing. In his session at 20th Cloud Expo, Curtis Peterson, VP of Operations at RingCentral, highlighted the current challenges of these transformative technologies and shared strategies for preparing your organization for these changes. This “view from the top” outlined the latest trends and developments i...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend 21st Cloud Expo October 31 - November 2, 2017, at the Santa Clara Convention Center, CA, and June 12-14, 2018, at the Javits Center in New York City, NY, and learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
No hype cycles or predictions of zillions of things here. IoT is big. You get it. You know your business and have great ideas for a business transformation strategy. What comes next? Time to make it happen. In his session at @ThingsExpo, Jay Mason, Associate Partner at M&S Consulting, presented a step-by-step plan to develop your technology implementation strategy. He discussed the evaluation of communication standards and IoT messaging protocols, data analytics considerations, edge-to-cloud tec...
"When we talk about cloud without compromise what we're talking about is that when people think about 'I need the flexibility of the cloud' - it's the ability to create applications and run them in a cloud environment that's far more flexible,” explained Matthew Finnie, CTO of Interoute, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
@DevOpsSummit at Cloud Expo taking place Oct 31 - Nov 2, 2017, at the Santa Clara Convention Center, Santa Clara, CA, is co-located with the 21st International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is ...
When growing capacity and power in the data center, the architectural trade-offs between server scale-up vs. scale-out continue to be debated. Both approaches are valid: scale-out adds multiple, smaller servers running in a distributed computing model, while scale-up adds fewer, more powerful servers that are capable of running larger workloads. It’s worth noting that there are additional, unique advantages that scale-up architectures offer. One big advantage is large memory and compute capacity...
The financial services market is one of the most data-driven industries in the world, yet it’s bogged down by legacy CPU technologies that simply can’t keep up with the task of querying and visualizing billions of records. In his session at 20th Cloud Expo, Karthik Lalithraj, a Principal Solutions Architect at Kinetica, discussed how the advent of advanced in-database analytics on the GPU makes it possible to run sophisticated data science workloads on the same database that is housing the rich...
What's the role of an IT self-service portal when you get to continuous delivery and Infrastructure as Code? This general session showed how to create the continuous delivery culture and eight accelerators for leading the change. Don Demcsak is a DevOps and Cloud Native Modernization Principal for Dell EMC based out of New Jersey. He is a former, long time, Microsoft Most Valuable Professional, specializing in building and architecting Application Delivery Pipelines for hybrid legacy, and cloud ...
Amazon started as an online bookseller 20 years ago. Since then, it has evolved into a technology juggernaut that has disrupted multiple markets and industries and touches many aspects of our lives. It is a relentless technology and business model innovator driving disruption throughout numerous ecosystems. Amazon’s AWS revenues alone are approaching $16B a year making it one of the largest IT companies in the world. With dominant offerings in Cloud, IoT, eCommerce, Big Data, AI, Digital Assista...
Artificial intelligence, machine learning, neural networks. We’re in the midst of a wave of excitement around AI such as hasn’t been seen for a few decades. But those previous periods of inflated expectations led to troughs of disappointment. Will this time be different? Most likely. Applications of AI such as predictive analytics are already decreasing costs and improving reliability of industrial machinery. Furthermore, the funding and research going into AI now comes from a wide range of com...