Skip to main content

Four Tableau products a quick review and explanation

I want to share you what are the Products most popular.

Total four products. Read the details below.

Tableau desktop-(Business analytics anyone can use) - Tableau  Desktop  is  based  on  breakthrough technology  from  Stanford  University  that  lets  you drag & drop to analyze data. You can connect to  data in a few clicks, then visualize and create interactive dashboards with a few more.

We’ve done years of research to build a system that supports people’s natural  ability  to  think visually. Shift fluidly between views, following your natural train of thought. You’re not stuck in wizards or bogged down writing scripts. You just create beautiful, rich data visualizations.  It's so easy to use that any Excel user can learn it. Get more results for less effort. And it’s 10 –100x faster than existing solutions.

Tableau server
Tableau  Server  is  a  business  intelligence  application  that  provides  browser-based  analytics anyone can use. It’s a rapid-fire alternative to th…

IBM - Data Analytics Review

#Data analytics solutions by IBM:
#Data analytics solutions by IBM:
Apply Big Analytics - Every industry has its own particular big data challenges. 

  • Banks need to analyze streaming transactions in real time to quickly identify potential fraud. Utility companies need to analyze energy usage data to gain control over demand. 
  • Retailers need to understand the social sentiment around their products and markets to develop more effective campaigns and promotions. 
  • Analytics solutions help organizations take control of big data and uncover the insights they need to make the best decisions.  
IBM has Analytics Solutions in various lines:
Banks:
Apply analytics to improve customer experiences and operational efficiency, and integrate risk into daily decision making.

Communication:
Uncover insights about customers, network performance and market trends to make better business decisions.

Retail:
Build lifetime customer relationships by meeting demands for innovative products while containing costs.
Education:
Make more informed decisions to improve student performance and increase operational efficiency.

Energy Analytics:
Transform your utility network and optimize customer operations with smarter energy systems.

Government:
Gain insight into program performance, traffic patterns, public safety threats and more to better protect and serve citizens.

Healthcare:
Anticipate, shape and optimize business and patient outcomes, and enable evidence-based, personalized medicine.

Industrial:
Apply analytics in aerospace, defense, automotive, electronics, chemicals, petroleum, or industrial products companies.

Insurance:
Deploy analytics at the point of impact to support better decisions about underwriting, claims and other areas of your business.

Life Sciences:
Act on insights to drive growth, enhance relationships across the ecosystem and improve clinical development processes.

Media:
Use analytics to provide a differentiated customer experience and drive operational transformation.
Transportation:
Enhance services, manage capacity, and maximize the availability of assets and infrastructure.

Comments

Popular posts from this blog

The best 5 differences of AWS EMR and Hadoop

With Amazon Elastic MapReduce (Amazon EMR) you can analyze and process vast amounts of data. It does this by distributing the computational work across a cluster of virtual servers running in the Amazon cloud. The cluster is managed using an open-source framework called Hadoop.

Amazon EMR has made enhancements to Hadoop and other open-source applications to work seamlessly with AWS. For example, Hadoop clusters running on Amazon EMR use EC2 instances as virtual Linux servers for the master and slave nodes, Amazon S3 for bulk storage of input and output data, and CloudWatch to monitor cluster performance and raise alarms.

You can also move data into and out of DynamoDB using Amazon EMR and Hive. All of this is orchestrated by Amazon EMR control software that launches and manages the Hadoop cluster. This process is called an Amazon EMR cluster.


What does Hadoop do...

Hadoop uses a distributed processing architecture called MapReduce in which a task is mapped to a set of servers for proce…

5 Things About AWS EC2 You Need to Focus!

Amazon Elastic Compute Cloud (Amazon EC2) - is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers.
Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction.

The basic functions of EC2... 
It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment.Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change.Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use. Amazon EC2 provides developers the tools to build failure resilient applications and isolate themselves from common failure scenarios. 
Key Points for Interviews:
EC2 is the basic fundamental block around which the AWS are structured.EC2 provides remote ope…

6 Most Popular IoT Protocols Currently Being Used

The below is complete list of Protocols being used in Internet of things projects.
CoAP: Constrained Application Protocol. MQTT: Message Queue Telemetry Transport. XMPP: Extensible Messaging and Presence Protocol. RESTFUL Services: Representational State Transfer. AMQP: Advanced Message Queuing Protocol Websockets. Related:
5 Challenges in Internet-of-things mostly people look inHot IT Skills by Udemy and Dice