TIBCO Spotfire is a true and best example of quality and class of Quintessential Visualization Tool. Quintessential Visualization Tool – TIBCO Spotfire helps in making informed decisions or decisions for the betterment of business in near future, predicts or forecasts business Key performance indicators(KPIs). Get the essential insights from complex data with never missed opportunities,[…]

1) List all the possible combinations for drawing a scatterplot for given data with Best practices in Data Visualization 2) Your Manager has asked you to make a presentation which will showcase to more than 100 people. Which color palette would be more appropriate for the given audience. 3) Which color palette would you choose[…]

Line and bar charts are the most common type of charts used in BI reports and dashboards. In the given figure below there are three line charts. Try to figure out which of these Data Visualization Choosing line chart or Bar chart are inappropriate. Line charts should be used when quantitative variables change over a[…]

Change Data Capture Change data capture (CDC) is the process of capturing changes made at data source level and applying them throughout the enterprise. CDC minimizes the resources required for ETL ( extract, transform, load ) processes because it only deals with data changes. The goal of CDC is to ensure data synchronicity. There are[…]

Big Data Analytics Tools is making the buzz nowadays. Every single enterprise, organization etc. seems to be gathering it, evaluating it, making money from it and tapping its powers. Whether we’re talking about interpreting millions of data collected for a product launch, or an uncountable number of hotel packages stats to find the best time[…]

For each package in Parallel R Programming basically provides a new looping construct which is used to execute a series of statements repeatedly. This looping construct performs the same work that is done by other looping constructs such as for and while. But, the main advantage of the for each Parallel Processing in R package[…]

A Domain is a virtual view, created and stored on the server without modifying the data source. Through a Domain, users see columns that have been joined, filtered, and labeled for their business needs. Security policies limit the data values users can access through a Domain. Domain presents the data in business terms appropriate to[…]