To analyze and visualize that quintillion of data into an understandable format for companies, Tableau as a leading Data Visualization tool has been doing a miraculous job. The tool with its capabilities of data blending, real-time analysis, seamless collaboration with any raw data has been recognized as the most suitable and leading Data Visualization tool.
At the current pace, 2.5 quintillion bytes of data are created each day. These days, every small to medium to large scale business runs on data of every size to make important business decisions and improve their deliverables.
Tableau Developer is a buzzword in the job market as many leading data-driven companies like Amazon, JPMorgan Chase, IBM are aggressively looking for and hiring Tableau Developers.
If you want to make a career as Tableau Developer but don’t know how --- continue reading as below you will find a complete roadmap to “How to become a Tableau Developer?” You would also get every information on how & where to learn skills for Tableau Developers to become a job-ready professional.
Since Tableau is a data visualization tool, let's first learn what is Data Visualization, why it is important, and where it is used, before learning about how to become a Tableau Developer.
What is Data Visualization?
Data Visualisation is a graphical or visual depiction of any raw data in an understandable format. Every small scale to big scale company leverages data visualization to learn the patterns, trends, and gain insights that could help them make informed business decisions for maximizing the business’s return on each Investment.
Why Do Businesses Need Data Visualization?
The motive of data visualization is to get great information from raw data, available at different sources or in different formats. Businesses have a lot of big data to dig deep into, it could be from customers, stakeholders, competitive markets, or from their internal processes, which needs to be transformed to support business growth initiatives.
Since companies use a lot of data in real-time, visualization as a part of data analysis comes as a rescue to manage and draw trends or insights from varied datasets. With moving times, data is growing in numbers and a second delay in small to complex data transformation can pull a lot of cost to companies and further lead to inefficient outputs and losses.
Where is Data Visualization Required?
Data Visualization is a great practice that helps stakeholders make important business decisions. If we have to answer where Data Visualization is most scrutinized, we would say it is everywhere. Weather maps, Facebook page statistics, air quality indices, these are all forms of Data Visualization.
Data Visualization is crucial in diverse data-driven industries/areas like Healthcare & Life Science, Finance, Sales & Marketing, and more.
According to research, Tableau has a 16.7% BI market share and there are about 30,000 companies that use Tableau - out of them, 32% are small, 42% are medium-sized, and 26% are large.
The popular brands leveraging the power of Tableau and looking for Tableau Developer required skills are Verizon, Cisco, Capital One, JP Morgan Chase, Honeywell International, Wells Fargo, Amazon, Facebook, and more.
Within these 30,000 companies, 6987 are in Computer Software, 2984 are in Information Technology and Services, 2270 are in Hospital & Health Care, 2152 are in Staffing and Recruiting, 1501 are in Financial Services, and the remaining ones are in other diverse industries.
Why Tableau for Data Visualization?
The intuitive Tableau dashboard gives Data Scientists or Data Analysts a simplified way to study any datasets for visualization within minutes.
Tableau offers seamless & real-time presentations, reports, and actionable insights.
Tableau integrates seamlessly with the R programming language to produce an effective visual analytics interface, which makes simple to complex data transformation quite easy.
Tableau is easy to learn & use, and compatible with diverse resources, it can evaluate massive and disparate datasets, generate real-time dashboards, and reports in seconds.
Tableau allows users to compile data from two diverse databases via the data source connection tabs - as if they are in the same database.
Tableau has created color-coded connections to identify & track of the database where each data comes from.
Filtering across data sources
This feature allows users to apply a single filter that automatically moves across all the similar data sources.
This feature of Tableau 10 rolled out in 2016 is helpful when you have multiple data sources - each with common dimensions like state, date, product. With this feature, you can filter and arrange the multiple data sources based on those common dimensions.
Tableau Dashboards helps to provide a complete view of the data by the means of visualizations, visual objects, texts, etc.
Dashboards are informational as they can represent data in the format of stories by allowing the addition of multiple views and objects, enabling the users to deploy suitable filters, and by providing a variety of layouts and formats.
The user even has the option to copy a dashboard or its certain elements from one workbook to another quite effortlessly.
Advanced Visualizations - Chart Types
In Tableau, it is easy to make diverse visualization as a Bar chart, Pie chart, bullet chart, line chart, motion chart, histogram, boxplot, and more.
The advanced visualizations in Tableau help with better analysis, quick data patterns identification, easy error detection, exploring business insights, understanding the story between data sources, and grasping the latest trends quite fast & effectively.
Collaboration and Sharing
Tableau provides easy options to collaborate and instantly share data in the form of visualizations, dashboards, sheets, etc - in real-time.
The tool allows secure sharing of data from various data sources such as on-premise, hybrid, on-cloud, etc.
The collaboration and data sharing is easy & quick which helps in getting quick reviews or feedback on the data - which leads to a better analysis.
Trend Lines and Predictive Analysis
Tableau’s powerful backend and dynamic front allow easy creation of trend lines and forecasting.
It is easy to get data predictions such as a trend line or a forecast by just selecting some drag-and-drop operations.
Tableau is a powerful BI tool that works in real-time, generates insights within seconds, allows great customizations, and handles complex graphs or chart creation.
Now, we know why Tableau is a premier choice for great data visualization, let’s move to understand who are Tableau Developers, Tableau developers required skills and job responsibilities and how you can become one.
Who is a Tableau Developer?
A Tableau Developer is a professional who creates computer systems and Data Visualisation solutions to help companies improve their business processes. They are responsible for creating Tableau Dashboard Reports, visualizations, and BI (Business Intelligence) reports while working with developers to contribute to improved systems.
Tableau Developer Roles & Responsibilities
Here are the most common Tableau Developer’s roles and responsibilities that he/she may be required to perform during their course of employment:
To understand the needs of clients
A Tableau Developer is required to be in the shoes of businesses and look for the bigger picture on why they need Tableau Dashboard and how it can help them in making their key business decisions.
To Provide Technical Solutions
A Tableau Developer is required to build & deliver the technology solutions that could help businesses manage and transform their big data from any sources.
To create Data Storage Tools
Tableau Developers are required to create tools that could store data effectively within the organization, which is known as online analytical processing. They are also required to maintain data analytics platforms so that data can be seamlessly mined for information later on.
Testing of Tool
Once the desired tool is built, a Tableau Developer examines the tool by performing the unit tests and develops database queries to identify the problems that may take place in the tool.
It is an ongoing development process part that takes place regularly throughout a project to analyze early on any part of the application that fails to work correctly.
Improving/Enhancement of System
Once the tool is built for a business organization, the existing systems are improved to initiate their integration with the newly built systems. A Tableau developer is required to collaborate with all the teams in the organization to include new methods to design & streamline company processes & workflow.
Tableau developer documents all the updates in the final reports of the project. The reports are made for reference purposes of colleagues and senior staff of the organization.
Mapping field or ideas, custom geocoding, and more.
Building and organizing interfaces, dashboards, and sharing of functions intuitively.
Personality Skills for Tableau Developer
A Tableau Developer needs to be analytically powerful in analyzing complex data.
Must have exceptional communication skills to interact with team members.
Should know how to deliver each project within strict delivery timelines.
Should have excellent organization skills to manage the workload efficiently & effectively even under pressure.
Should have a positive attitude towards work.
Should know how to adopt new things quickly.
Should have the right dedication & zeal for getting things done on time.
Know how to use the tools effectively in favor of any business organization.
How to become a Tableau Developer?
Other than just Data Visualization, Tableau is equally leveraged for Data Mining, Data Cleaning, creating graphs, and statistical computing. It is important to know how you can learn to harness these key features for the work industries or businesses’ prime benefits.
Here are the few highlights describing how Tableau Developer skills will continue to have a great upward-moving demand in the future of work:
In the future, there will be 50 times more the amount of data as in 2011, according to a study by IDC and to analyze that growing data and derive actionable insights, Tableau will continue to be the leading data analysis and visualization tool that does data transformation easily & creatively.
NetJets, University of California, Groupon, GM, Sony Electronics, Sunguard, Bank of America, KPMG, Verizon, Facebook, Dell, Applied Systems, Booz Allen Hamilton are some of the few popular hirers of Tableau Developers.
Tableau was ranked as a “Leader” in the data visualization and BI market for the 4th consecutive time, by Gartner Research.
Tableau is not only a part of the tech industries, it is evenly needed in Healthcare, banking, entertainment, NPO, and other great industries.
Final Thoughts on How to become a Tableau Developer!
This was an exhaustive guide on How to become a Tableau Developer - in which we learned what is Data Visualization, why Data Visualization is important, where Data Visualization is most leveraged, why Tableau is a leading Data Visualisation tool, Who are Tableau Developers, Tableau developer required skills, Tableau developer roles & responsibilities, how & from where to learn Tableau Developer key skills & role, and a well-researched future scope of Tableau Developer role.
Tableau is a buzzword in the job market. Tableau Developers are in rising demand ever since Tableau has been voted as a leading data visualization tool by Gartner. Tableau Developer is a futureproof profile because as long as data is increasing every second, the need for professionals to build robust data visualization solutions will be majorly high.
Anyone who plans to make a career as Tableau Developer is eventually going to enjoy many perks than any downside by just taking real-time world projects based, and experts led Tableau Developer Training for Certification by JanBask Training.