2016

by Pranav Shukla|06 June 201613 May 2019|big data, Data warehouse, Hadoop

Starting a data lake initiative is often a big step for an organization. There are many logical ways in which organizations can move towards fact-based decision making. Traditional way of EDW and BI tools have worked for many years. These systems...

How visual patterns can be used to decode product performance?

by Krishna Meet|20 May 201611 May 2019|big data, Patterns

Today's business-decisions have close connection with data analysis. Most analysis of business data is usually done by comparing multiple instances of single quantitative variable, such as sales across different regions. However, there is always a need to analyse data to...

Hadoop, Spark and effect on Data Warehousing/BI

by Pranav Shukla|10 May 201611 May 2019|big data, Data warehouse, Hadoop, Spark

The nature of data that enterprises have been dealing with has been changing in the last few years. It is no longer just transactional data. Volume, velocity, and variety of data is increasing steadily. Why should you care? If your...

Visualize data and find patterns for at a glance analysis.

by Krishna Meet|31 March 201611 May 2019|big data, Uncategorized

Making sense of relationships among values and comparing those values is primary action for our day to day business-decisions. Whether you want to compare sales revenue across different channels, regions or products- presenting data in a visual form reduces the...

Why dashboards are so meaningful to have in the era of BigData?

by Krishna Meet|01 March 201611 May 2019|big data, Uncategorized

'Dashboard' is a buzzword we have been hearing over the past decade. Now it is making its way to our mobile phones and tablets. Whether you want to track your fitness or product sales there are dashboards that can help...

Data Visualisations that makes sense quickly and easily

by Krishna Meet|19 February 201611 May 2019|Uncategorized

Bringing out the meaning of data is becoming even crucial with growing data volume. Today's data, especially coming from multiple sources requires to perceive multiple dimensions all at once! The good news is that data visualisation techniques are maturing rapidly....

Why enterprises should start modernising their BI solution?

by Krishna Meet|28 January 201611 May 2019|big data, Hadoop, Uncategorized

When we say or hear a term 'BI solution' we understand that it is a backbone for any business. However, with growing volume of data, traditional BI solutions are facing multiple challenges, like low performance or inability to ingest more...

Graph databases

by Krishna Meet|02 January 201611 May 2019|big data

In today's ever evolving world of distributed computing we want answers of complex questions as soon as possible. That too for huge volume of data. Take a look at following scenario: How many products were ordered last friday between 10am...