Tableau and Big Data

Tableau as a Big Data Solution

In the previous section, we discussed big data in brief. This section will discuss how Tableau Software Company can provide different solutions to handle big data.

Why and how do we need to process this large amount of data? 

With the rise of digitisation, the amount of data produced every day is steadily expanding. Data is becoming increasingly important to businesses. So, businesses are analysing and exploiting big data using powerful software and tools to gain valuable insights that will help them grow their businesses. Let’s look at one such software named Tableau Software.

Tableau is a Business Intelligence software for data analysis and visualisation created in 2003 by Pat Hanrahan, Christian Chabot, and Chris Stolte. Tableau allows you to create interactive dashboards out of graphs, charts, and reports, making it easier for anybody to analyse data patterns and trends across time.

( Tableau Software, Source: Tableau Website )

Tableau may also use drivers and connectors to external data sources and third-party apps to provide valuable insights into various datasets. Tableau Desktop, Tableau Online, Tableau Server, and Tableau Reader are among the four products in the Tableau product suite. Each product suite allows customers to mix many data sources to create data representations that can be shared internally or made publicly available.

The Basic Approach to Big Data Analytics

Big data analytics using Tableau software follows the primary approach of gathering, processing, cleaning, and analysing enormous datasets to assist businesses in operationalising their data.

(Processes of Big Data Analytics)

1. Data Collection
   Every organisation's data collection method and purpose are different. We keep some data in data warehouses, which will be accessible to business intelligence tools and solutions.
2. Data Processing
   Once data has been collected and preserved, it must be correctly organised to yield accurate answers to analytical queries, mainly when the data is vast and unstructured.
   Batch processing is one approach for processing substantial data chunks over time. When there is a longer interval between gathering and analysing data, batch processing comes in handy. Stream processing examines small batches of data at a time, cutting the time between data collection and analysis in half.
3. Data Cleaning
   Data cleaning is correcting or deleting incorrect, corrupted, improperly formatted, duplicate, or incomplete data from a dataset. There are numerous ways for data to be duplicated or mislabeled when merging multiple data sources.
4. Analysing the Data
   Once data is usable, we can use advanced data analytics processes to gain meaningful insights from it. We use different big data analysis methods such as Data Mining, Predictive Analytics and Deep Learning to analyse Big Data.

Uses of Tableau Software

Tableau software is used in a variety of ways. Tableau makes it easy to perform the following.

1. Consolidate data from multiple sources into a single format
   Tableau can bring data from Excel and Access, SQL databases, and cloud-based applications such as Salesforce together in seconds. There is no need for a code. This is one of the Tableau features that allows you to see the whole picture of your firm and have a single source for all business reports.
2. Immediately complete basic ETL operations.
   One of Tableau's best features is doing basic ETL operations quickly. With Tableau's automated data reshaper tool, you can swiftly turn data into your required format. You can split fields, concatenate fields, connect on concatenated or calculated fields, remove white space and headers, and alter data formats with just a few clicks. What used to take a SQL programmer several minutes to create code for or a businessperson a day to perform in Excel can now be done in seconds.
3. Quick Data Analysis
   The most crucial use of Tableau software is that it allows analysts to quickly explore their data, assisting them in finding answers that lead to new questions, which lead to new insights as quickly as they can think of them.
4. Automated Reporting
   Automated reporting is one of the applications of Tableau software. You may easily create a report, point it to a specific data set, have the data automatically refreshed, and never touch it again. Set things up, and all you have to do now is look for insights and act on them. There is no need for a code, additional time, or further meetings.

Read about Batch Operating System here.

Frequently Asked Questions

What is the purpose of Tableau?

Tableau is a data visualisation and business intelligence application that can report and analyse large amounts of data.
 

What makes Tableau superior to other tools?

Compared to other Big Data solutions, Tableau allows you to produce sophisticated graphics in seconds! It allows you to complete complex jobs using simple drag-and-drop functionality, allowing you to answer your inquiries quickly!
 

In Tableau, what can the Worksheet Tool do?

In the Tableau screen, the worksheet is where you develop data analysis views. When you first connect to a data source, Tableau creates three blank worksheets by default.
 

What is Tableau Server Repository?

The Tableau Server repository is a PostgreSQL database that keeps track of all user interactions. Tableau Server users, groups, group assignments, permissions, projects, data sources, extract metadata, and refresh information are all included.

Conclusion

This article extensively discussed Big Data and Tableau Software as a solution to Big Data. We started by giving an overview of Big Data, then looked at different types of Big Data, characteristics of Big Data, an overview of Tableau software, and its uses in Big Data Analytics.

We hope that this blog has helped you enhance your knowledge regarding Big Data Analytics and Tableau Software and if you would like to learn more, check out our articles on ‘Text Analytics with Big Data’, ‘Big Data Analytics’, ‘Ten Big Data Practices’, ‘Handling of Big Data’. Do upvote our blog to help other ninjas grow.

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