Top 10 information management stories of 2019

And MapR, the third of the most prominent distributors of big data storage … data analytics using super computers is making new types of science …

Consolidation and acquisition marked the supplier side of the IT industry in respect of information management in 2019.

Hadoop distributors Cloudera and Hortonworks sealed their marriage, announced in 2018, while on the business intelligence (BI) and analytics side of the market, Tableau was sold to Salesforce, and the sale of Looker to Google was also announced. And MapR, the third of the most prominent distributors of big data storage system Hadoop, collapsed into HPE.

On the user side of the market, we saw the continued search for business value from the big data revolution that has been proceeding since at least the birth of Hadoop in 2006. Computer Weekly was represented on a springtime visit to Silicon Valley, where we discovered a group of companies attempting address gaps in the value chain from data sources to business insight.

That visit also provoked the question: what is the balance, for enterprise IT, between complementing and replacing traditional databases? An article by Lindsay Clark assayed an answer to that question later in the year.

The question of how modern BI and analytics software – roughly speaking, software that post-dates the heyday of traditional BI software in the early 2000s – shapes up to non-relational big data is addressed and suggests that data integration is the enduring, difficult problem for CIOs to solve.

Here are Computer Weekly’s top 10 information management stories of 2019.

1. MapR collapse into HPE harbinger of big data tech trough of despair?

The collapse of big data pioneer MapR into HPE this year could be the fate of an also-ran. But might it also be a sign of the crash of a Hadoop-related meteor shower that included Hortonworks and Cloudera?

2. Tableau sticking to data mission under Salesforce

Tableau president and CEO Adam Selipsky told the company’s European user conference in Berlin in June 2019 that the Salesforce acquisition would not affect its mission of “seeing and understanding data”.

3. Google buys Looker to deepen enterprise software arsenal

In a move that could signal the fleshing out of Google’s cloud enterprise applications strategy under former Oracle executive Thomas Kurian, Google announced, in June 2019, its intention to buy Looker, a business intelligence (BI) platform supplier. On the close of the $2.6bn all-cash acquisition, Looker will join Google Cloud.

4. Silicon Valley startups look to plug gaps in data value chain

A group of California-based startups and early-stage data management companies are promising CIOs ways to plug gaps in the data-to-insight value chain.

5. Alternative databases set for mainstream adoption?

The rise of non-relational databases has been a feature of the data management landscape in the wake of big data – but is their purpose to complement or replace relational databases?

6. How modern business intelligence shapes up to big data

Business intelligence and analytics strategies have evolved in recent years in the face of big data. Here, we got a supplier CEO perspective, some analyst counsel, and testimony from Nationwide, Schroders and King.

7. Southern Water’s centralised data team geared for silo busting

Southern Water has centralised its data specialists and overhauled its data management and business intelligence technology to support business decision-making at scale.

8. Universities use data analytics to tackle student mental health

UK universities are turning to data analytics software to tackle student mental health. Are there duty of care lessons that can be applied to other sectors?

9. How supercomputing is transforming experimental science

NERSC lead data scientist Debbie Bard talked about how large-scale data analytics using super computers is making new types of science possible. She was speaking just ahead of a speech at the DataTech conference in Edinburgh in March 2019.

10. Data firms join forces to help Path beat malaria

Tableau, Mapbox, Exasol, and Alteryx announced a commitment to put $4.3m into backing an anti-malaria scheme in sub-Saharan Africa run by health charity Path.

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Orange Spain expands use of IBM Watson for customer service

Orange Spain announced it’s expanded the use of IBM Watson in its digital customer service. The AI software was already available with the virtual …

Orange Spain announced it’s expanded the use of IBM Watson in its digital customer service. The AI software was already available with the virtual assistant Djingo on the Mi Orange app and is now available through customer service over WhatsApp.

The Djingo virtual assistant was first launched in 2016 and has grown to over 4 million interactions per year with customers. The company expects the number of reach 7 million in 2020, or around a fifth of all its customer interactions.

In the app and on WhatsApp, Djingo can not only provide information to customers but also activate services, such as roaming or voicemail. Orange said it has integrated its back-office systems with the IBM cloud platform for Watson to make this possible. In the app, Djingo can also now share images with customers, for example a graph of their data consumption.

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Hadoop Big Data Analytics Market is booming worldwide made possible by top research firm

The global Hadoop big data analytics market is anticipated to develop at a CAGR of 36.37% during the figure time frame (2018-2023). The market is …

Key Players| Fair, Isaac and Company (FICO), Amazon Web Services, Datameer, Inc, Hitachi Ltd.

The Research report presents a complete valuation of the Market and contains a forthcoming trend, current growth factors, attentive views, facts, and industry – validated market data. The research study provides estimates for Global Hadoop Big Data Analytics Forecast till 2025.

Some are the key players taken under analysis for these studies are Fair, Isaac and Company (FICO), Amazon Web Services, Datameer, Inc, Hitachi Ltd., and MapR Technologies, Teradata Corporation, Cloudera, Inc, Microsoft Corporation, IBM Corporation, Tableau Software, Inc,.

The global Hadoop big data analytics market is anticipated to develop at a CAGR of 36.37% during the figure time frame (2018-2023). The market is probably going to remain at a valuation of more than USD 52 billion towards 2023-end.

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Essential Features & key highlights of the report:

Key players:

Fair, Isaac and Company (FICO), Amazon Web Services, Datameer, Inc, Hitachi Ltd., and MapR Technologies, Teradata Corporation, Cloudera, Inc, Microsoft Corporation, IBM Corporation, Tableau Software, Inc,.

Market Segmentation:

By Component [Software and Services (Consulting & Development, Managed Services and Training & Support)].

By Application (Risk & Fraud Analytics, Internet of Things (IoT), customer analytics, security intelligence, distributed coordination service, merchandising coordination service, merchandising & supply chain analytics and others),

By End-User (BFSI, IT & telecommunication government & defense, manufacturing, transportation & logistics, healthcare and others)

Geographical Breakdown: Regional and country level analysis covering North America, Europe, China & Japan

Market Segment by Regions

2013

2017

2022

Share (%)

CAGR (2019-2025)

United States

xx

xx

xx

xx%

xx%

EU

xx

xx

xx

xx%

xx%

Japan

xx

xx

xx

xx%

xx%

China

xx

xx

xx

xx%

xx%

India

xx

xx

xx

xx%

xx%

Southeast Asia

xx

xx

xx

xx%

xx%

Total

xx

xx

xx

xx%

xx%

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Furthermore, the years considered for the study are as follows:

Historical year – 2013-2017 | Base year – 2018 | Forecast period** – 2019 to 2025 [** unless otherwise stated]

The report provides a basic overview of the Hadoop Big Data Analytics industry including definitions, classifications, applications, and industry chain structure.

And development policies and plans are discussed as well as manufacturing processes and capital expenditures.

Further, it focuses on global major leading industry players with information such as company profiles, product picture, and specifications, sales, market share and contact information. What’s more, the Hadoop Big Data Analytics industry development trends and marketing channels are analyzed.

The study is organized with the help of primary and secondary data collection including valuable information from key vendors and participants in the industry. It includes historical data from 2012 to 2017 and projected forecasts till 2025 which makes the research study a valuable resource for industry executives, marketing, sales and product managers, consultants, analysts, and other people looking for key industry related data in readily accessible documents with easy to analyze visuals, graphs and tables.

The report answers future development trend of Hadoop Big Data Analytics based on of stating current situation of the industry in 2019 to assist manufacturers and investment organization to better analyze the development course of Hadoop Big Data Analytics Market.

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The report covers the following chapters

  • • Market Characteristics – The market characteristics section of the report defines and explains the Hadoop Big Data Analytics market. This chapter includes different goods and services covered in the report, basic definitions and market supply chain analysis.

    • Global Market Size And Growth – This section contains the global historic (2013-2017) and forecast (2019-2025) market value, and drivers and restraints that support and control the growth of the market in the historic and forecast period.

    • Trends And Strategies – This chapter includes some of the major trends shaping the global Hadoop Big Data Analytics market by segment. This section highlights likely future developments in the market and suggests approaches companies can take to exploit these opportunities.

    • PESTEL Analysis – This chapter covers the political, economic, social, technological, environmental and legal factors affecting a market.

    • Customer Information – This section includes customer surveys in the Hadoop Big Data Analytics industry

    • Global Market Segmentation – This section contains global segmentation of the Hadoop Big Data Analytics market. Segmentation types include by region and by country segmentation of the Hadoop Big Data Analytics market.

    • Global Macro Comparison – The global Hadoop Big Data Analytics market comparison with macro-economic factors gives the Hadoop Big Data Analytics market size, percentage of GDP, and average Hadoop Big Data Analytics market expenditure.

    • Macro Comparison By Country – The Hadoop Big Data Analytics market comparison with macro-economic factors across countries gives the Hadoop Big Data Analytics market size, percentage of GDP, by country and per capita average Hadoop Big Data Analytics market expenditure.

    • Region/Country Market Size And Growth – This section contains the region’s market size (2017), historic (2013-2017) and forecast (2019-2025) market value, and growth. This report includes information on all the regions (Asia Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa) and major countries within each region.

    • Competitive Landscape – This section covers details on the competitive landscape of the global Hadoop Big Data Analytics market, estimated market shares and company profiles for the leading players.

    • Key Mergers And Acquisitions – This chapter gives the information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions which have shaped the market in recent years.

    • Opportunities And Strategies – This section gives information on growth opportunities across countries, segments and strategies to be followed in those markets. It gives an understanding of where there is significant business to be gained by competitors in the next five years.

……..and view more in complete table of Contents

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Global Cloud Robotics Market Analysis, Growth, Size, Study, Demand & Forecast 2019-2025 …

… Growth, Size, Study, Demand & Forecast 2019-2025: FANUC, KUKA, ABB, Yaskawa, Mitsubishi, Irobot, SoftBank, Hit Robot Group, SIASUN.

The Global report entails the overall and all-encompassing study of the “Cloud Robotics Market” with all its relevant factors that might have an influence on the growth of the market. This report is rooted in the methodical quantitative and qualitative evaluation of the global Cloud Robotics market.

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Furthermore, it also evaluates the most recent improvements while estimating the growth of the leading players FANUC, KUKA, ABB, Yaskawa, Mitsubishi, Irobot, SoftBank, Hit Robot Group, SIASUN, Fenjin, of the market.

The key aim of this Global report is to provide updates and data relating to the Cloud Robotics market and also make out all the opportunities for expansion in the market. To begin with, the report entails a market synopsis and offers market definition and outline of the Cloud Robotics market. The synopsis section comprises market dynamics entailing market restraints, drivers, trends, and opportunities trailed by pricing analysis and value chain analysis.

The report presents a demand for individual segment in each region. It demonstrates various segments Hardware, Software, Services, and sub-segments Industrial, Professional Service, Personal Service of the global Cloud Robotics market. Further, the report provides valuable data such as offerings, revenue, and a business outline of the prominent players in the Cloud Robotics market. The Global report draws attention to a number of avenues for the expansion of the Cloud Robotics market in the projected period together with its latest trends.

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In addition, the Cloud Robotics market is also categorized based on the types of services or product, end user, application segments, region, and others. Every segment expansion is evaluated along with the evaluation of their growth in the forecast period. Furthermore, the Cloud Robotics market is also divided on regional basis into the Middle East & Africa, Asia Pacific, North America, Europe, and Latin America. Lastly, the Global report on Cloud Robotics market offers a thorough study on industry size, sales volume, demand & supply analysis, shares, and value analysis of numerous firms along with segmental analysis, in relation to significant geographies.

There are 15 Chapters to display the Global Cloud Robotics market

Chapter 1, Definition, Specifications and Classification of Cloud Robotics , Applications of Cloud Robotics , Market Segment by Regions;

Chapter 2, Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;

Chapter 3, Technical Data and Manufacturing Plants Analysis of Cloud Robotics , Capacity and Commercial Production Date, Manufacturing Plants Distribution, R&D Status and Technology Source, Raw Materials Sources Analysis;

Chapter 4, Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);

Chapter 5 and 6, Regional Market Analysis that includes United States, China, Europe, Japan, Korea & Taiwan, Cloud Robotics Segment Market Analysis (by Type);

Chapter 7 and 8, The Cloud Robotics Segment Market Analysis (by Application) Major Manufacturers Analysis of Cloud Robotics ;

Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type Hardware, Software, Services,, Market Trend by Application Industrial, Professional Service, Personal Service;

Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;

Chapter 11, The Consumers Analysis of Global Cloud Robotics ;

Chapter 12, Cloud Robotics Research Findings and Conclusion, Appendix, methodology and data source;

Chapter 13, 14 and 15, Cloud Robotics sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.

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Multi-Cloud Security Solutions Market 2019 Research Report- Global Forecast 2024

… Avi Networks, JD Cloud, SonicWall, Juniper Networks, Nutanix Beam, Rackspace, Tencent Cloud, Sophos, VAST, Fujitsu, Panzura, Kaspersky.

Global Multi-Cloud Security Solutions Market Growth 2019-2024combines the essentials, definitions, categorization, and analysis of significant features. The vital information featured in this report makes the research document a handy resource for managers, industry experts, analysts, and key professionals to get thoroughly analyzed study on Multi-Cloud Security Solutions market along with in the form of graphs and figures. The market report has all the useful essential information, for example, the financial strategies, applications, future growth, development and advancement components referenced in a positive way. Further, the report provides a detailed profile and data information analysis of a leading company.

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Global Multi-Cloud Security Solutions market report figures the below companies: HashiCorp, Datacom, IBM, F5 Networks, Avi Networks, JD Cloud, SonicWall, Juniper Networks, Nutanix Beam, Rackspace, Tencent Cloud, Sophos, VAST, Fujitsu, Panzura, Kaspersky

Region Segment Analysis of The Market:

Based on segmentation, the global Multi-Cloud Security Solutions market report is made up of in-depth investigation of the leading regions, including

  • Americas (United States, Canada, Mexico, Brazil)
  • APAC (China, Japan, Korea, Southeast Asia, India, Australia)
  • Europe (Germany, France, UK, Italy, Russia, Spain)
  • Middle East & Africa (Egypt, South Africa, Israel, Turkey, GCC Countries).

The research was provided including developments, leading growth status, landscape analysis, and segmentation with product types and applications.The market report centered on our unique research methodology delivers an evaluation of this distributed across sections. The key manufacturers of the Multi-Cloud Security Solutions market are studied during the year 2019- 2024 that are forecasted on aspects like company summary, product portfolio. The report states that the state-of-the-art marketing particulars are central to accelerate performance and define significant conclusions for the growth and profitability of the Multi-Cloud Security Solutions market.

A Generic Overview of The Competitive Sphere:

  • The Multi-Cloud Security Solutions market report contains a detailed assessment of the competitive landscape of this industry. Further, it also puts together a thorough analysis of the vertical’s competitive scope
  • Data pertaining to the company’s product range, product features, and individual product applications have been accentuated in the report. The company profiles along with details regarding its gross margins and price models are provided within the report.
  • The report comprises of details regarding the market share accounted for by each region. In addition, information regarding the growth prospects for the market in every specified region is also highlighted in the report.
  • Product type market including development
  • The end-user market including development
  • Data representing the market share held by each product segment, along with their market value in the business have been illustrated in the report.

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Moreover, the report offer insight study in important trends developing the growth possibility of the Multi-Cloud Security Solutions market. The key factors estimated to drive the market for the projected period 2019-2024 are also highlighted in this report. In addition, market segments are extensively analyzed with the help of a broad evaluation of the global market in terms of market strategies, investments, and current and future market trends.

Customization of the Report: This report can be customized to meet the client’s requirements. Please connect with our sales team (sales@mrinsights.biz), who will ensure that you get a report that suits your needs.

Sunil is an SEO and attentive market research analyst. Expertise in leadership, public speaking, marketing, SEO, and teamwork. Skilled in performing competitive analysis to stay ahead of the others in the market. He always tries to establish and revamp existing business strategies and produce worthwhile lessons from each project.

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