Friday, 19 August 2016

30 Entrepreneurs of the Year 2016

Entrepreneurship is the capacity and willingness to develop, organize and manage a business venture along with any of its risks in order to make a profit Entrepreneurs   are pioneers, innovators, leaders, and inventors.Meet these entrepreneurs and their services 

Tuesday, 9 August 2016

Data Analytics Basics

Big data analytics:-  The process of examining large data sets containing a variety of data types.
 Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain.
Big Data Analytics Tools- Helping your organization through thick & thin:
Big data analytics are adopted by many companies today. The analytics process, including the use of big data analytics tools, can help companies improve operational efficiency, drive new income and also gain viable benefits over business opponents.
Some companies specialize in providing big data analytics products, classified as Angoss, Predixion, Alteryx, Alpine Data Labs, Pentaho, KNIME, and RapidMiner.

Big Data Analytics tools
Big data analytics tools are nothing but the software products that hold up predictive and prescriptive analytics applications organizations on big data computing platforms.

There are thousands of Big Data tools available,I have given some examples
Data Storage and Management:-Hadoop ,CloudEra

Data Cleaning :- OpenRefine,DataCleaner
Data Mining:- RapidMiner,Teradata
Data Analysis:- Qubole,BigML
Data Visualization:-Tableau, Datawrpper
Data Integration:-Blockspring,Pentahoa

Organizations that are taking on big data analytics need to accommodate a variety of user types, such as:

The data scientist:-who performs more complicated analyses that involve complex data types and is familiar with how underlying models are designed and implemented to assess inherent dependencies or biases.

The business analyst:- who is likely a more casual user looking to use the tools for proactive data discovery or visualization of existing information, as well as some predictive analytics.

The business manager:-who looks to understand the models and conclusions.

IT developers:- as they support all the prior categories of users.

Here are the Data Analytics Trends of 2016 and Future
Five trends that will have the significant impact on the world of machine data analytics:
->Prescriptive Analytics
->Automated Machine Learning
->Validation and Explanation
->Visualization
->Privacy Legislation





Friday, 5 August 2016

10 Fastest Growing Cloud Computing Companies 2016

Cloud Computing


Cloud Computing

Manipulating, configuring and accessing the hardware and software resources remotely. It offers online data storage, infrastructure, and application.

Cloud computing Deployment Models:
Public cloud: Third-party provider delivers the cloud service over the Internet

private cloud:-  Business Data centers to Internal users

Hybrid cloud:-combination of public cloud services and on-premises private cloud

Cloud computing Service models :

1.Software as a service(SaaS): Delivers software applications over the Internet
 Ex: Sales Force
Google Docs
Microsoft Office 365

2.In fracture as a Service(IaaS):  provides access to physical machines, virtual machines, virtual storage, etc.
EX:Amazon EC2 (elastic cloud compute)
Google Compute Engine

3.Platform as a service(PaaS): Provides the runtime environment for applications development and deployment.
Ex:Amazon AWS
Google App Engine
Cloud Foundry

Benefits:


  • It does not require to install a software to access or manipulate cloud application. We can assess applications over the internet.
  • Cloud Computing is highly cost effective because it operates at high efficiency with optimum utilization. It just requires an Internet connection








Wednesday, 27 July 2016

10 Fastest Growing Oracle Solution Providers Companies 2016

    

Find out details of all the companies and their services

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Monday, 25 July 2016

10 Fastest Growing Data Analytics Companies 2016


                        
                                   10 Fastest Growing Data Analytics Companies 2016 
                      Find the success stories of Smart Leaders in the silicon review magazine

Saturday, 16 July 2016

50 innovative companies to Watch




‘SR 50 innovative companies to Watch’ is an endeavor with recognizing these authorities and their interesting ventures that have aggravated noteworthy commitments in the field from claiming benefits of the business Furthermore innovation organization. Improvement and extemporization would those keys will an organization's survival in the market. And these talented people attempting round the clock to manage their ventures’ growth, picking the best it benefits well presently may be an extreme assignment provided for that sheer number right now accessible in the market, much appreciated to a number of visionary business people.
If you want to know about these companies and their services