Data Lakes Market 2017-2027 Shares, Trend and Growth Report
Future Market Insights has announced the addition of the “Data Lakes Market: Global Industry Analysis and Opportunity Assessment 2017-2027" report to their offering.
Future Market Insights has announced the addition of the “Data Lakes Market: Global Industry Analysis and Opportunity Assessment 2017-2027" report to their offering.
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<strong>Data</strong> <strong>Lakes</strong> <strong>Market</strong><br />
April <strong>2017</strong><br />
<strong>Report</strong> Id : REP-GB-3321<br />
Status : Ongoing<br />
Category : Electronics, Semiconductors, <strong>and</strong> ICT<br />
©2015 Future <strong>Market</strong> Insights, All Rights Reserved
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Automotive <strong>and</strong> Transportation<br />
Electronics, Semiconductor, <strong>and</strong> ICT<br />
Retail <strong>and</strong> Consumer Products<br />
Industrial Automation <strong>and</strong> Equipment<br />
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Chemicals & Materials<br />
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Services <strong>and</strong> Utilities<br />
Energy, Mining, Oil, <strong>and</strong> Gas<br />
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Research Methodology (1/2)<br />
Systematic Research Approach<br />
<strong>Market</strong> profiling<br />
Formulating discussion guide<br />
Developing list of respondents<br />
<strong>Data</strong> collection<br />
<strong>Data</strong> validation<br />
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5<br />
3<br />
1<br />
2<br />
In-depth secondary research is used to<br />
ascertain overall market size, top<br />
industry players, top products, industry<br />
associations, etc.<br />
PMR formulates a detailed discussion<br />
guide to conduct expert <strong>and</strong> industry<br />
interviews<br />
PMR develops a list of industry players<br />
(manufacturers), distributors, retailers<br />
<strong>and</strong> industry experts<br />
PMR conducts interviews with industry<br />
experts, industry players, distributors<br />
<strong>and</strong> retailers<br />
<strong>Data</strong> is validated by triangulation<br />
method, wherein secondary, primary<br />
<strong>and</strong> PMR analysis contribute to the final<br />
data<br />
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<strong>Data</strong><br />
Collection<br />
<strong>Data</strong> Filter<br />
& Analysis<br />
Identifying key opinion leaders<br />
Questionnaire design<br />
In-depth interviews<br />
Coverage across value chain<br />
<strong>Market</strong> participants<br />
Key strengths<br />
Product portfolio<br />
Mapping as per value chain<br />
Key focus segments<br />
A<br />
Primary<br />
Research<br />
C<br />
Company<br />
Analysis<br />
Research &<br />
Intelligence<br />
SOLUTION<br />
Actionable<br />
Insights<br />
B<br />
Desk<br />
Research<br />
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Business<br />
Solution<br />
Key industry experts<br />
Channel study<br />
Developments<br />
<strong>Market</strong> dynamics<br />
Products<br />
Conclusions<br />
<strong>Data</strong> analysis<br />
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<strong>Data</strong> is scrutinized using MS-Excel to<br />
obtain qualitative <strong>and</strong> quantitative<br />
insights about the industry<br />
Primary Research #<br />
Secondary Research #<br />
Paid Publications#<br />
Insights<br />
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PMR delivers industry insights <strong>and</strong><br />
information in the required format<br />
(PDF)<br />
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Linkedin<br />
Zoominfo<br />
Salesforce<br />
Avention<br />
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Company websites<br />
Company annual<br />
reports<br />
White papers<br />
Financial reports<br />
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Factiva<br />
GBI<br />
Genios<br />
Meltwater<br />
# includes sources of databases<br />
©2015 Future <strong>Market</strong> Insights, All Rights Reserved<br />
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<strong>Data</strong> <strong>Lakes</strong> <strong>Market</strong><br />
A large amount of data is being generated on digital information platforms on a daily basis. According to<br />
IBM, 2.5 quintillion bytes of data is generated every day. This explosive amount of data create the need<br />
for efficient data storage systems. <strong>Data</strong> lakes are storage systems which can store massive amount of data<br />
in its raw form. This unstructured data can further be used by data scientists <strong>and</strong> analysts for remodelling<br />
<strong>and</strong> transforming it into diversified data sets for further use.<br />
<strong>Data</strong> lake also helps to enhance business agility as this storage model supports multiple distributions <strong>and</strong><br />
workloads of varied sizes <strong>and</strong> types. This enables the data scientist to centralize massive data from<br />
various applications in the one logical storage pool. It can contain different types of data including files,<br />
audio, video, <strong>and</strong> databases.<br />
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<strong>Data</strong> <strong>Lakes</strong> <strong>Market</strong>: Drivers <strong>and</strong> Restraints<br />
One of the important drivers in the adoption of <strong>Data</strong> lakes is cost reduction. <strong>Data</strong> lakes directly ingests<br />
data in its original format rather than moving it into a purpose-built data store. The data contained in<br />
data lakes can be used for analysis <strong>and</strong> transformation there only, thus reducing the need <strong>and</strong> cost of<br />
another server for data transformation. Further, it solves the problem of big data. The information<br />
generated through Big <strong>Data</strong> is highly varied in nature. But data lake’s ability to store massive data in<br />
different forms tackles the problem.<br />
However, data lakes face some challenges which include slow on boarding <strong>and</strong> integration of data <strong>and</strong><br />
high post boarding <strong>and</strong> maintenance cost. This is why many organizations are hesitant to adopt data lakes<br />
thus hampering the growth of data lakes market.<br />
©2015 Future <strong>Market</strong> Insights, All Rights Reserved 4
<strong>Data</strong> <strong>Lakes</strong> <strong>Market</strong><br />
Global <strong>Data</strong> <strong>Lakes</strong> <strong>Market</strong>: <strong>Market</strong> Segmentation<br />
Global <strong>Data</strong> <strong>Lakes</strong> <strong>Market</strong> can be divided into two segments, based on deployment type <strong>and</strong> end-users.<br />
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Segmentation on basis of deployment type in <strong>Data</strong> <strong>Lakes</strong> market:<br />
The segments in <strong>Data</strong> <strong>Lakes</strong> market by deployment type include:<br />
Cloud<br />
On premises<br />
Segmentation on basis of end-users for <strong>Data</strong> <strong>Lakes</strong> <strong>Market</strong>:<br />
The major segments of <strong>Data</strong> <strong>Lakes</strong> market on basis of end-users include:<br />
BFSI<br />
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<strong>Data</strong> <strong>Lakes</strong> <strong>Market</strong><br />
Government<br />
Healthcare<br />
Others<br />
Full <strong>Report</strong> Analysis@ http://www.futuremarketinsights.com/reports/data-lakes-market<br />
Global <strong>Data</strong> <strong>Lakes</strong> Competitive L<strong>and</strong>scape<br />
Some of the prominent players in the <strong>Data</strong> <strong>Lakes</strong> market include Atos SE, Capgemini SA, Dell EMC,<br />
Hitachi <strong>Data</strong> Systems, Informatica, Microsoft Corporation, Oracle Corporation, SAP SE <strong>and</strong> Teradata<br />
among others.<br />
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