big data

Data Warehouse for Analytics
Scaling Data Transformations with DBT: Strategies for High-Volume Data Engineering
As data volumes grow and become more complex, managing large-scale data transformations has become a critical challenge for data engineers. DBT (Data Build Tool) has emerged as a powerful solution for transforming raw data into meaningful insights within a data...
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Building an Agile Data Lake
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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...
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How visual patterns can be used to decode product performance?
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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...
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Hadoop, Spark and effect on Data Warehousing/BI
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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...
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Visualize data and find patterns for at a glance analysis.
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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...
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big data
Why dashboards are so meaningful to have in the era of BigData?
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'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...
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Why enterprises should start modernising their BI solution?
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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...
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Graph databases
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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...
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Apache Spark’s momentum is unstoppable!
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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 is able to deliver 10...
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Role of hadoop in today’s data warehouses
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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. However, with escalating data volume...
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