-

What is Tableau?
  • Tableau is the fastest growing data visualization software that is used for data science and business intelligence aims to help people to see and understand data.
  • In order to transform the way people use data to solve problems, tableau software ensures to converts raw data into a very easily understandable format.
  • Tableau Software is an American computer software company headquartered in Seattle, WA, USA. It generates interactive data visualization products which focused on BI.
  • The company was established at Stanford University’s Department of Computer Science between 1997 and 2002.

Tableau Product Family / tableau offering

The different products which tableau has built are
1. The Tableau Desktop:
  • It is a self service business analytics and data visualization that anyone can use.
  • It translates pictures of data into optimized queries.

  • With tableau desktop, you can directly connect to data from your data warehouse for live up to date data analysis.
2. Tableau Server:
  • It is more of a enterprise level Tableau software. You can publish dashboards with Tableau Desktop and share them throughout the organization with web-based Tableau server. It leverages fast databases through live connections.

    • 3. Tableau Online:
  • This is a hosted version of Tableau server which helps makes business intelligence faster and easier than before.
    You can publish Tableau dashboards with Tableau Desktop and share them with colleagues.

    • 4. Tableau Reader:
  • It’s a free desktop application that enables you to open and view visualizations that are built in Tableau Desktop.
    You can filter, drill down data but you cannot edit or perform any kind of interactions.
    • 5. Tableau Public:
  • This is a free Tableau software which you can use to make visualizations with but you need to save your workbook or worksheets in the Tableau Server .
    • Top Features of Tableau

  • It is very easy to utilize.
  • You don’t have to be familiar with programming of any sort.
  • All you require is a few data and tableau to generate reports that can visually charming and which tells a story which user has to tell their managers.
  • It has a drag and drops feature by which a user can simply generate stories or reports with drag and drop and a few thoughts. In memory tool
  • This is feasible due to the VizQL (VizQL is a visual query language which translates drag-and-drop actions into data queries and then expresses that data visually.
  • VizQL delivers dramatic gains in people’s ability to see and understand data by abstracting the underlying complexities of query and analysis).
  • Growing market . Tableau is somewhat fresh in the BI marketplace but its market share is increasing day by day. It is being almost all industries.
    It has a huge user base, which consists of big companies. They utilize Tableau on an on a daily basis to gather their business Intelligence necessities.
  • Direct connection : Tableau permits the users to directly hook up with databases, cubes, and data warehouses, etc. The data access is so simple without any advanced setup and the data is live to be getting updated on its own.
  • Beautiful and interactive dashboard : The Dashboard of Tableau is very interactive and provides dynamic outcomes. Rich visualizations can be produced very easily. The graphics and charts are smart and beautiful.
  • Easy publishing and sharing : After examining the data, the outcomes can be shared live with just a small number of clicks. The dashboard can be issued to share it live on the web and mobile devices.

    • Automation functionality:
  • Tableau is a little more intuitive with creating processes and calculations.
  • For example, when creating calculations in a tabular format, the formula can be typed once, stored as a field and applied to all rows referencing that source.
  • This makes it easier to create and apply recurring processes. Tableau’s flexibility also allows users to create custom formulas that aren’t available in most of the tools.

Weakness
  • No predictive analytical capabilities.
  • Expandability for analytics.
  • Not all-inclusive solution.
  • Social media integration.
  • etc.



























Comments

Post a Comment

Popular posts from this blog

how do I start with python || how to learn python from basic || python ...

-
Image
Python is also the most popular and fastest growing programming languages in current times. Keeping this mind, some beginner tips for learning Python are given below: Understand your area of interest – Before starting learning Python, it is important to understand your area of interest so that you remain motivated. Some of the areas to explore with Python are Machine Learning, Artificial Intelligence, Web Development, Robotics, App development, Python scripts, etc. Learn the basic Python syntax – It is necessary to learn the basic Python syntax before starting anything. Only a little time is required to become familiar with the syntax and you can move on to coding. Any doubts that arise later can always be addressed by referring back to the syntax. Practise coding everyday – It is very important to code every day while learning a new programming language. This establishes consistency and helps you become more familiar with the language. You can start small and gradually increase your c...
click me for full article »
-
Python provides a  getopt  module that helps you parse command-line options and arguments. $ python test . py arg1 arg2 arg3 The Python  sys  module provides access to any command-line arguments via the  sys.argv . This serves two purposes − sys.argv is the list of command-line arguments. len(sys.argv) is the number of command-line arguments. Here sys.argv[0] is the program ie. script name. Example Consider the following script test.py − #!/usr/bin/python import sys print 'Number of arguments:' , len ( sys . argv ), 'arguments.' print 'Argument List:' , str ( sys . argv ) Now run above script as follows − $ python test . py arg1 arg2 arg3 This produce following result − Number of arguments: 4 arguments. Argument List: ['test.py', 'arg1', 'arg2', 'arg3'] NOTE  − As mentioned above, first argument is always script name and it is also being counted in number of arguments. Parsing Command-Line Arguments Python provided a  ge...
click me for full article »