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…

Why Amazon Web services AWS Cloud computing is so popular

Why Amazon Web services AWS Cloud computing is so popular
#Why Amazon Web services AWS Cloud computing is so popular:
You may be forgiven if you're puzzled about how Amazon, which started out as an online bookstore, has become the leading cloud computing provider.

Amazon its Cloud computing services started in three stages:
  • S3 (Simple storage service)
  • SQS (Simple Que service)
  • EC2 (Elastic compute cloud)
Amazon Web Services was officially revealed to the world on March 13, 2006. On that day, AWS offered the Simple Storage Service, its first service. (As you may imagine, Simple Storage Services was soon shortened to S3.) The idea behind S3 was simple: It could offer the concept of object storage over the web, a setup where anyone could put an object — essentially, any bunch of bytes — into S3. Those bytes may comprise a digital photo or a file backup or a software package or a video or audio recording or a spreadsheet file or — well, you get the idea.
S3 was relatively limited when it first started out. Though objects could, admittedly, be written or read from anywhere, they could be stored in only one region: the United States. Moreover, objects could be no larger than 5 gigabytes — not tiny by any means, but certainly smaller than many files that people may want to store in S3. The actions available for objects were also quite limited: You could write, read, and delete them, and that was it.

In its first six years, S3 has grown in all dimensions. The service is now offered throughout the world in a number of different regions. Objects can now be as large as 5 terabytes. S3 can also offer many more capabilities regarding objects. An object can now have a termination date, for example: You can set a date and time after which an object is no longer available for access. (This capability may be useful if you want to make a video available for viewing for only a certain period, such as the next two weeks.) S3 can now also be used to host websites — in other words, individual pages can be stored as objects, and your domain name (say, www.example.com) can point to S3, which serves up the pages.

S3 did not remain the lone AWS example for long. Just a few months after it was launched, Amazon began offering Simple Queue Service (SQS), which provides a way to pass messages between different programs. SQS can accept or deliver messages within the AWS environment or outside the environment to other programs (your web browser, for example) and can be used to build highly scalable distributed applications.

Later in 2006 came Elastic Compute Cloud (known affectionately as EC2). As the AWS computing service, EC2 offers computing capacity on demand, with immediate availability and no set commitment to length of use.
  • The overall pattern of AWS has been to add additional services steadily, and then quickly improve each service over time. 
  • AWS is now composed of more than 25 different services, many offered with different capabilities via different configurations or formats.
  • This rich set of services can be mixed and matched to create interesting and unique applications, limited only by your imagination or needs.

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