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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

. :) But before you start data engineering project ideas list, read the next section to know what your checklist for prepping for data engineering role should look like and why. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase.

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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

This enables systems using Kafka to aggregate data from many sources and to make it consistent. Instead of interfering with each other, Kafka consumers create groups and split data among themselves. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. Large user community.

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Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

The problem is that writing the machine learning source code to train an analytic model with Python and the machine learning framework of your choice is just a very small part of a real-world machine learning infrastructure. For instance, you can write Python code to train and generate a TensorFlow model.

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

Step 3: Building Data Pipelines While building pipelines, you will focus on automating tasks like removing spam, eliminating unknown values or characters, translating the text into English (if required), and performing other NLP-related tasks like tokenization and lemmatization. However, it is not straightforward to create data pipelines.