Published by Coherent Market Insights
Posted on September 28, 2021
United States/WA: The global Storage in Big Data Market was accounted for US$ 17,391.4 Mn in terms of value in 2019 and is expected to grow at CAGR of 20.4% for the period 2020-2027
Report Pages:[ 130 Pages]
The Competitive Area of the Storage in Big Data Market is Defined by Key Players Like:–MemSQL Inc., Google Inc., Hitachi Data Systems Corporation, Microsoft Corporation, Hewlett Packard Enterprise, Amazon Web Services, Inc., Teradata Corporation, VMware, Inc., SAP SE, IBM Corporation, Oracle Corporation, Dell EMC, and SAS Institute Inc.
Big data storage is a compute-and-storage architecture you can use to collect and manage huge-scale datasets and perform real-time data analyses. These analyses can then be used to generate intelligence from metadata. Big Data analytics delivers insights, and the bigger the dataset, the more fruitful the analyses. However, big data storage creates big challenges: cost, scalability, and data protection. To derive insight from information, you need affordable, highly scalable storage that’s simple, reliable, and compatible with the tools you have. Big data storage technologies are a key enabler for advanced analytics that have the potential to transform society and the way key business decisions are made. This is of particular importance in traditionally non-IT-based sectors such as energy. While these sectors face non-technical issues such as the lack of skilled big data experts and regulatory barriers, novel data storage technologies have the potential to enable new value-generating analytics in and across various industrial sectors. Big data storage is a technology that applies to storage technologies that specifically address, in some fashion or another, the three Vs: volume, velocity, or variety. Yet big data doesn’t address the classification of relational database systems. In simpler terms, it’s a compute-and-storage architecture designed to collect and manage large data sets, enabling real-time data analytics. This does not imply that relational database systems don’t address these hurdles, but alternative storage technologies such as columnar stores and innovative combinations of different storage systems are frequently more efficient and less costly.
Request a sample copy of the report to understand the structure of the complete report:
https://www.coherentmarketinsights.com/insight/request-sample/3777
Detailed Segmentation:
Go Through Our Trusted Clients List: https://www.coherentmarketinsights.com/trusted-by
People Also Search For Following Reports:
Contact Us:
Mr. Shah
Coherent Market Insights
1001 4th Ave,
#3200
Seattle, WA 98154
Tel: +1-206-701-6702
Email: sales@coherentmarketinsights.com
The post [PDF] Storage in Big Data Market: A Brief History with Modern Facts and Figures appeared first on Gatorledger.
United States/WA: The global Storage in Big Data Market was accounted for US$ 17,391.4 Mn in terms of value in 2019 and is expected to grow at CAGR of 20.4% for the period 2020-2027
Report Pages:[ 130 Pages]
The Competitive Area of the Storage in Big Data Market is Defined by Key Players Like:–MemSQL Inc., Google Inc., Hitachi Data Systems Corporation, Microsoft Corporation, Hewlett Packard Enterprise, Amazon Web Services, Inc., Teradata Corporation, VMware, Inc., SAP SE, IBM Corporation, Oracle Corporation, Dell EMC, and SAS Institute Inc.
Big data storage is a compute-and-storage architecture you can use to collect and manage huge-scale datasets and perform real-time data analyses. These analyses can then be used to generate intelligence from metadata. Big Data analytics delivers insights, and the bigger the dataset, the more fruitful the analyses. However, big data storage creates big challenges: cost, scalability, and data protection. To derive insight from information, you need affordable, highly scalable storage that’s simple, reliable, and compatible with the tools you have. Big data storage technologies are a key enabler for advanced analytics that have the potential to transform society and the way key business decisions are made. This is of particular importance in traditionally non-IT-based sectors such as energy. While these sectors face non-technical issues such as the lack of skilled big data experts and regulatory barriers, novel data storage technologies have the potential to enable new value-generating analytics in and across various industrial sectors. Big data storage is a technology that applies to storage technologies that specifically address, in some fashion or another, the three Vs: volume, velocity, or variety. Yet big data doesn’t address the classification of relational database systems. In simpler terms, it’s a compute-and-storage architecture designed to collect and manage large data sets, enabling real-time data analytics. This does not imply that relational database systems don’t address these hurdles, but alternative storage technologies such as columnar stores and innovative combinations of different storage systems are frequently more efficient and less costly.
Request a sample copy of the report to understand the structure of the complete report:
https://www.coherentmarketinsights.com/insight/request-sample/3777
Detailed Segmentation:
Go Through Our Trusted Clients List: https://www.coherentmarketinsights.com/trusted-by
People Also Search For Following Reports:
Contact Us:
Mr. Shah
Coherent Market Insights
1001 4th Ave,
#3200
Seattle, WA 98154
Tel: +1-206-701-6702
Email: sales@coherentmarketinsights.com
The post [PDF] Storage in Big Data Market: A Brief History with Modern Facts and Figures appeared first on Gatorledger.
Explore more articles in the Research Reports category
