Data Engineering - Tools & Intro
So I just realized that I am here after a month or so. I was busy at work and traveling.
I am starting a kind of new series, I say it Data Engineering Series in which I will be discussing different tools. Of course, I am not able to discuss the entire concept of Data Engineering neither I know it as I will be learning myself.
What is Data Engineering?
Data Engineering is all about developing, maintaining systems that are responsible for transferring data in large volumes and make it available for analysts and data scientists to use it for analyzing and data modeling. Data engineering is a superset of Data Science or the subset, not clear to me but the collaboration of data engineers and scientists fruits useful data-driven solutions.
Data Engineering tools
It consists of several tools. Some are dealing with data storage while others with analysis and ETL. Ofcourse, Apache Kafka is one of them. The others tools that I might be covering are Apache Airflow, an ETL tool and Hadoop Ecosystem components like HDFS, Hive, Yarn, Pig etc. There is no such specific roadmap so tools can be covered in any order. Since I mostly work in Python, Java so will be trying my best to find some way to interact with Python or Java but it is not necessary as most of Hadoop related systems are in either Java or Scala.
So, stay tuned and I will be back shortly with the new post.
Introduction to Customer Segmentation in Python In this tutorial, you're going to learn how to implement customer segmentation using RFM(Recency, Frequency, Monetary) analysis from scratch in Python. In the Retail sector, the various chain of hypermarkets generating an exceptionally large amount of data. This data is generated on a daily basis across the stores. This extensive database of customers transactions needs to analyze for designing profitable strategies. All customers have different-different kind of needs. With the increase in customer base and transaction, it is not easy to understand the requirement of each customer. Identifying potential customers can improve the marketing campaign, which ultimately increases the sales. Segmentation can play a better role in grouping those customers into various segments. In this tutorial, you will cover the following topics: What is Customer Segmentation? Need of Customer Segmentation Types of Segmentation Customer
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