Big Data – Thematic Research
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Today’s digital economy is powered by data. It is produced in abundance by both individuals and enterprises and stored in vast data centers, some of which cover hundreds of thousands of square feet. Several prominent businesspeople and a number of leading publications have described data as “the new oil”, capable of generating significant value if used in the right way.
The challenge for enterprises is not collecting data – unlike oil, data is not scarce, nor is it difficult to extract – but deriving actionable insight from the wealth of information that they accumulate on a daily basis. This is where Big Data technologies come in, with their ability to handle extremely large, diverse data sets that, when analyzed, can reveal patterns, trends and associations, especially relating to human behavior and interactions.
Big Data has applications across industries, from providing detailed customer profiles for retailers to improving the drug discovery process through the use of predictive modeling. The opportunities available to those companies that can harness the power of Big Data are clear and wide-ranging, but it is not a one-size-fits-all solution; businesses need to tailor their approach to their own specific requirements and use cases.
Scope
Big Data has applications across industries, from providing detailed customer profiles for retailers to improving the drug discovery process through the use of predictive modeling.
-The report analyses the opportunities available to companies that can harness the power of big data.
-It also highlights the need to tailor their approach to their own specific requirements and use cases.
Reasons to Buy
The report focuses on the seven key technologies within the big data theme, and the leaders in each of these technologies.
-It highlights the main trends over the next 12 to 24 months, classifying these trends into three categories – data trends, technology trends, and data center trends.
-The report also provides an industry analysis and examines the big data value chain.
-It also uses scorecards to identify the leading companies in a sector.
-It offers a technology briefing of how big data combines traditional data management technologies with new forms of data processing that are better suited to modern formats.
Amazon
Arista Networks
Cisco Systems
Cloudera
Hortonworks
HPE
IBM
Intel
Juniper Networks
Micron Technology
MicroStrategy
Microsoft
NeoPhotonics
Nutanix
Nvidia
Oracle
Red Hat
SAP
Software AG
Tableau Software
Talend
Vmware
Capsenta
Dataiku
Data Virtuality
Delphix
Denodo Technologies
Informatica
Logi Analytics
MarkLogic
PostgreSQL
Qlik Technologies
RapidMiner
Reltio
TIBCO
Table of Contents
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