filmov
tv
Understanding Big Data Analytics
Показать описание
Overview of Big Data Analytics
Big Data Analytics is the process of extracting value from an endless source of informational insights that helps companies realize their goals.
It aids in decision-making and enables experts to implement data-driven strategies for future growth.
The Origins of Big Data Tools
It was in the early 2000s that the concept of Big Data gained momentum.
Big Data tools, used by technology biggies like Google, Facebook and IMB, were:
Apache Spark
Apache Hadoop
Presto
Rising Adoption of Big Data Analytics and the Emergence of Cloud
In 2013, several tech giants realized the importance of cloud computing for Big Data storage. Technology giants that started popularizing cloud were:
Amazon Web Service (AWS)
Microsoft
VMWare
IBM
An Overview of Cloud
Data management was a cakewalk, thanks to cloud-based analytics.
Companies started leveraging the power of cloud because it was:
Agile
Easy-to-deploy
Cost-efficient
Cloud Tech – A Preferred Choice for Big Data Storage
Cloud became popular because it helped in scaling like no other.
Today, cloud is a preferred choice for Big Data storage because of its capacity to tackle the four Vs of Big Data, namely:
Volume
Variety
Velocity
Value
Data Retrieval Made Easy
Industry leaders could easily easily extract and collect data from the cloud the perform the following tasks:
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Today, businesses also combine BI software with Big Data to facilitate growth.
Big Data Combined with Business Intelligence
Experts use Business Intelligence software and Big Data Analytics to step up their business performance.
Combining Big Data and BI helps companies predict and forecast:
Market Conditions
Customer Requirements
Sales Opportunities
Conclusion
Turbocharge your business through best-in-class technologies to reach greater heights.
There's no denying that if you're one of the early adopters of disruptive technologies, like Big Data Analytics, you're sure to stay a class above your competitors.
#bigdata, #bigdataanalytics, #whatisbigdataanalytics, #datascience, #dataanalysis, #bigdatahadoop, #businessanalytics, #businessintelligence, #businessintelligencetutorial, #businessanalytics, #businessintelligencetools, #businessintelligenceanalyst, #businessintelligenceconcepts, #sapbusinessintelligence, #svpbusinessintelligence
Follow Us On -
Big Data Analytics is the process of extracting value from an endless source of informational insights that helps companies realize their goals.
It aids in decision-making and enables experts to implement data-driven strategies for future growth.
The Origins of Big Data Tools
It was in the early 2000s that the concept of Big Data gained momentum.
Big Data tools, used by technology biggies like Google, Facebook and IMB, were:
Apache Spark
Apache Hadoop
Presto
Rising Adoption of Big Data Analytics and the Emergence of Cloud
In 2013, several tech giants realized the importance of cloud computing for Big Data storage. Technology giants that started popularizing cloud were:
Amazon Web Service (AWS)
Microsoft
VMWare
IBM
An Overview of Cloud
Data management was a cakewalk, thanks to cloud-based analytics.
Companies started leveraging the power of cloud because it was:
Agile
Easy-to-deploy
Cost-efficient
Cloud Tech – A Preferred Choice for Big Data Storage
Cloud became popular because it helped in scaling like no other.
Today, cloud is a preferred choice for Big Data storage because of its capacity to tackle the four Vs of Big Data, namely:
Volume
Variety
Velocity
Value
Data Retrieval Made Easy
Industry leaders could easily easily extract and collect data from the cloud the perform the following tasks:
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Today, businesses also combine BI software with Big Data to facilitate growth.
Big Data Combined with Business Intelligence
Experts use Business Intelligence software and Big Data Analytics to step up their business performance.
Combining Big Data and BI helps companies predict and forecast:
Market Conditions
Customer Requirements
Sales Opportunities
Conclusion
Turbocharge your business through best-in-class technologies to reach greater heights.
There's no denying that if you're one of the early adopters of disruptive technologies, like Big Data Analytics, you're sure to stay a class above your competitors.
#bigdata, #bigdataanalytics, #whatisbigdataanalytics, #datascience, #dataanalysis, #bigdatahadoop, #businessanalytics, #businessintelligence, #businessintelligencetutorial, #businessanalytics, #businessintelligencetools, #businessintelligenceanalyst, #businessintelligenceconcepts, #sapbusinessintelligence, #svpbusinessintelligence
Follow Us On -