tableau certification

When it comes to data visualizations, QlikView and Tableau come to our minds. But it is difficult to choose between both. A battle exists between these two tools- QlikView vs Tableau. Both of these tools must be known equally to understand which one to use when it comes to Data Visualization. data science course syllabus Now, lets us compare between Tableau and QlikView.

1.       USED EASILY

●        QlikView: It is used easily and the hidden trends can be explored. If you want to search any word, type them in the search box for results and the connection will be shown with the relationship over your data. Because of menu driven properties, there is difficulty in designing their views for users.

●        Tableau: It consists of simple interface, with one page containing not many features and possess drag and drop interface. Search content feature is not available. Using multiple objects, users can create their own views, excellent designed GUI interface makes it easy.

 

2.       LEARNT EASILY

●        QlikView: It consists of resources that helps one learn about the software in the best manner and an actively engaged community.

●        Tableau: It also consists of resources and an actively engaged community. Due to simple drop and drag application makes it easier to learn.

3.       CONNECTION WITH OTHER TOOLS/ DATABASE OR LANGUAGE

●    QlikView: It coordinates with wide range of data sources such as Redshift, Amazon Vectorwise and ECE2, Impala and Cloudera Hadoop, Epicor Scala, HP Vertica, CSV, EMC Green Plum, DatStax, IBM Netezza, MA SQL Server, SAP Hana, IBM DB2, Infor Lawson, Sage 500, SAP Hana, SAP, Informatica Powercentre, Teradata, ODBC, MicroStrategy,   Par Accel, Hortonworks Hadoop, Salesforce and many more. Connection can be made using R with API integration. With Big Data also, it can connect.

● Tableau: It coordinates with wider range of data sources which includes CSV, spreadsheets, Salesforce, SQL databases, Firebird. Cloudera Hadoop, Google BigQuery, Google Analytics, HP Vertica, Hortonworks Hadoop, MySQL, MS SQL Server, Oracle, OData, PostgreSQL, Pivotal Greenplum, Windows Azure Marketplace, Teradata and Salesforce. Its connection with R can power the tools analytical capabilities. With Big Data also, it can connect.

4.       INSIGTH GENERATION

●        QlikView: It is made more powerful by Associative technology and also helps easily in reading association with variables.

●        Tableau: By using available data points, to create presentation Story telling feature helps you.

5.       VISUALIZATIN OBJECTS

●       QlikView: To visualize information, it contains good options and also various objects. Playing with the properties of the objects is easy to customize it. By customizing properties, custom charts can also be created like boxplot, waterfall, and geo-spatial charts. When you insert an object, then the format options and layout are similar to the document theme. Formatting options should be worked on to make it visually attractive.

●        Tableau: It consists of perfect visualization objects with best formatting options. For geo-spatial visualizations, it offers better visualizations. For tableau certification visualizing the data, it consists of many options. Visualizations are of best quality.

RESOURCE BOX

To be a step ahead of the crowd in the field of data management and visualization, join the Tableau course offered by 360DigiTMG data science courses in hyderabad.

Contact:-

360DigiTMG - Data Analytics, Data Science Course Training Hyderabad

 2-56/2/19, 3rd floor, Vijaya towers near Meridian school, Ayyappa Society Rd, Madhapur, Hyderabad, Telangana 500081

9989994319

For more info Click here

For more Details Click here