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Big Data topic is deservedly gaining attention not only because of the 5 to 6 numbers figures salary expectation as a data scientist, but also because it is at...
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anemptytextllineThe Enterprise Data Warehouse (EDW) offload is a widespread big data use case. This is certainly because traditional data warehouse and related etl processes are struggling to keep the... -
anemptytextllineIn our previous blog post, we’ve discussed the implementation of a framework built on top of Spark to enable agile and iterative data discovery between legacy systems and new...
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anemptytextllineIn this series of blog posts, we will outline and explain in detail the implementation of a framework built on top of Spark to enable agile and iterative data...
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anemptytextllineI have explained in a previous post the importance of data visualization and emphasized pitfalls to avoid in order to create effective visualization. In the quest of deriving valuable...
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anemptytextllineThis post is meant to help you making your first step into data processing with Apache Spark using python API. What is Apache Spark? In the age of Big Data processing, Hadoop map reduce (open...
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anemptytextllineIn the previous post, we discussed data warehouse concept and emphasis key aspects such as data consistency, data history, complexity of the data integration process as the number of...
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anemptytextllineOver the past weeks I was involved in few discussions where it appeared that the difference between enterprise data warehouse and data lake is not crystal clear for some...
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anemptytextllineThe leap to cloud computing is likely to happen in many companies – if not already the case – considering the flexibility it offers to improve IT efficiency. Cloud...
