In today’s time, business relies greatly on big data and therefore the information encrypted in it to be ready to comprehend current trends and business scenarios so as to form wise and informed decisions within the future. Hence, this makes having an honest business intelligence tool to research and visualize big data imperative.
It is without a doubt that we’ve quite few BI tools which aim at big data visualization within the market presently. Most of them serve a specific purpose and it really comes right down to your requirements and use-case that which of such tools are getting to suit you the simplest. However, we are here in our quest to seek out the simplest general-purpose BI tool for giant data visualization and analysis.

What is needed during a good tool?

Before we get into the dichotomy of individual BI tools, we must understand what are the essential needs for any big data visualization tool to be good.
• Every data visualization tool is predicted to rework unfathomable data into eye-pleasing charts and graphs and allow them to convey the hidden message within the data to the business users and analysts.
• Rather, a tool must even have the potential to research, process and present the info during a digestible manner.
• The tool must be efficient in creating understandable data reports and dashboards by assimilating and aggregating massive and sophisticated data from different sources.
• The tool must be so designed that each user, no matter their background and skill set can learn to use it like all other software or application used daily.
• A tool must specialise in being an interactive self-service analytics, development, and visualization tool. this is often unlike the normal enterprise-wide, IT-developed software which may only be employed by a little group of technical users. A tool should give entry-level users the potential to use it efficiently and gain insights into big data.
• Filtering, processing, and slicing-dicing of massive data should be easy.
• A tool must provide enough features for collaboration and insight sharing within and out of doors the organization.
• The visualizations must be plenty and intuitive for any technical or non-technical user to know it and draw meaningful insights from it.
Recommended reading – Why do you have to learn Big Data?

Top BI Tools for giant Data Visualization

Top three Business Intelligence tools for giant data visualizations are Tableau, Qlik Sense and Microsoft Power BI. allow us to understand what role each play in big data visualization and the way good is it with big data. Also, all the three tools are declared to be the leading BI tools consistent with the Gartner’s Magic Quadrant for Business Intelligence and Analytics Platform (2018).

Gartner’s Magic Quadrant for Business Intelligence and Analytics Platform (2018)
i. what’s Tableau?
Tableau is that the hottest and leading BI tool presently. it’s the simplest visualization capabilities with an ideal front-end graphical UI. It also has some built-in analytics modules which may be used directly by the user on their data. Also, it gives its users the power to develop app objects, customize dynamic visuals, and distribute reports and documents to other users via the online.
ii. what’s Qlik Sense?
Qlik Sense may be a simple and interactive data visualization tool which enables users to import and aggregate data from varied big data sources. they will further use the info visualization tools of the software to shape data into meaningful information. Qlik also claims QlikView as a possible contender as an efficient big data tool because it also can capable of integrating with multiple data sources at a time.
iii. what’s Microsoft Power BI?
Microsoft Power BI is Microsoft’s very own data visualization tool. It becomes better than the remainder in some ways because it is compatible best with Microsoft Azure and Microsoft cloud environment. Also, users can hook up with Excel to import data and make personalized data dashboards.
So, this brings us to the end of blog. This Tecklearn ‘BI Tools for Big Data Visualization’ blog helps you with commonly asked questions if you are looking out for a job in Qlik Sense BI. If you wish to learn Qlik Sense and build a career in Business Intelligence domain, then check out our interactive, Qlik Sense Certification Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

https://www.tecklearn.com/course/qlik-sense-certification-training/

Qlik Sense Certification Training

About the Course

Qlik Sense is a revolutionary Business Analytics tool to come from the Qlik stables. It provides powerful self-service analytics that are readily deployable through interactive and personalized dashboards, data visualization techniques and insightful reports. By the end of this Qlik Sense online training, you will be able to perform key skills of the self-service BI tool – Qlik Sense, such as self-service analytics, write data load scripts, data discovery, create dashboards, develop and share apps, create reports, and design and build data visualizations. All these skills will enable you to clear the Qlik Sense certification exam.

Why should you take Qlik Sense Training?

• The average annual pay for a Qlik Sense Professional is $101,871. -Indeed.com.
• HSBC, Alstom, Chrysler, Citibank, Accenture and many other MNC’s worldwide use Qlik Sense BI and it has a market share of around 5% globally.
• By the end of 2020, the market is expected to touch USD 22.8 billion as modern BI and analytics continue to expand more rapidly, Gartner said in a report.

What you will Learn in this Course?

Introduction and Installation of Qlik Sense
• Need for self-service Business Intelligence/Business Analytics
• Installation of Qlik Sense and Qlik Sense Desktop
Qlik Sense Features
• Qlik Data indexing engine
• Data dimensions relationships
• Types of Data Loading
• Types of Concatenation
Data Modelling
• Qlik Sense data architecture
• Understanding QVD layer
• Converting QlikView files to Qlik Sense files
• Incremental Load
• Scripting
• Create Master Calendar
Advance Data Modelling
• Qualify and unqualify
• Joins
• Keep
• Cross Table
• Let Vs Set
• Calendar Table Creation
Qlik Sense Enterprise
• Various Functions
• Create QVD Files
• Read Data for QVD Files
• Create QVD’s
• Create Tier 2 Qlik Sense App
Data Visualization
• Expressions
• Variables
• Extensions
• Data Visualization
Set Analysis
• Set analysis in Qlik Sense
• Use set expression like identifiers, operators, modifiers and comparative analysis
Advance Set Analysis
• Deploy comparison sets and perform point-in-time analysis
Qlik Sense Storytelling
• Storytelling feature of Qlik Sense
• Create a story and playback the story
Qlik Sense Visualization
• Qlik Sense Charts
• Advanced Charts
• Creating Dashboards
• Real Life Examples
Security
• Security aspects of Qlik Sense
• Security rules

Got a question for us? Please mention it in the comments section and we will get back to you.

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