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Result: Companies started to sell pre-configured data warehouses as products. The concept of `Data Marts` was introduced. Image by the author 2004 to 2010 — The elephant enters the room New wave of applications emerged — Social Media, Software observability, etc. New data formats emerged — JSON, Avro, Parquet, XML etc.
The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data. This process helps convert the unstructured data into structureddata, which can easily be collected and interpreted using analytical tools.
For the sake of comparison, let’s recap the Hadoop way of working: Hadoop saves intermediate states to disk and communicates over a network. The processes that run the computation and store data of your application are executors: Returns computed data to the driver. Provides in memory storage for cached RDD’s.
Solocal has taken big data to the next stage of BI by designing a novel vision of BI with the open source distributed computing framework Hadoop. It replaced its traditional BI structure by integrating big data and Hadoop."-April The goal of BI is to create intelligence through Data. So what is BI?
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