big data

Building an Agile Data Lake
||, ,
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...
continue reading
How visual patterns can be used to decode product performance?
||,
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...
continue reading
Hadoop, Spark and effect on Data Warehousing/BI
||, , ,
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...
continue reading
Visualize data and find patterns for at a glance analysis.
||,
[fullwidth_text alt_background="none" width="1/1" el_position="first last"] 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...
continue reading
Why dashboards are so meaningful to have in the era of BigData?
||,
[fullwidth_text alt_background="none" width="1/1" el_position="first last"] '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...
continue reading
Why enterprises should start modernising their BI solution?
||, ,
[fullwidth_text alt_background="none" width="1/1" el_position="first last"] 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...
continue reading
Graph databases
||
[fullwidth_text alt_background="none" width="1/1" el_position="first last"] 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...
continue reading
Apache Spark’s momentum is unstoppable!
||, ,
[fullwidth_text alt_background="none" width="1/1" el_position="first last"] Spark is one of the fastest growing project in open source bandwagon with more then 600 contributors. Due to spark's proven performance gains, almost all the hadoop vendors are shipping Spark along with hadoop. Spark...
continue reading
Role of hadoop in today’s data warehouses
||, , ,
[fullwidth_text alt_background="none" width="1/1" el_position="first last"] Over the last decade organisations have done substantial investments in their data warehouses in terms of setting up hardware infrastructure, software licenses, BI tools and man-power to harvest huge amount of data and gain insights....
continue reading
Why streaming data analytics is getting momentum?
||,
[fullwidth_text alt_background="none" width="1/1" el_position="first last"] According to Forrester Research, adoption interest for streaming data analytics has grown 62%, during 2012 to 2014. This momentum is the need for today's data-driven culture. It is truly said that you can not cross...
continue reading