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Abstract

<div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*hBtwQE0PoBFzfCO9)"></div> </div> </div> </a> </div><p id="d59c">3. Chapter3 -&gt; Spark ETL with Azure (Blob | ADLS)</p><div id="0b7a" class="link-block"> <a href="https://readmedium.com/spark-etl-chapter-3-with-cloud-data-lakes-azure-blob-azure-adls-df815779f8a7"> <div> <div> <h2>Spark ETL Chapter 3 with Cloud data lakes (Azure Blob | Azure ADLS)</h2> <div><h3>Previous blog/Context:</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*pigeBo7vObjnf4aA)"></div> </div> </div> </a> </div><p id="55f4">4. Chapter4 -&gt; Spark ETL with AWS (S3 bucket)</p><div id="0f31" class="link-block"> <a href="https://readmedium.com/spark-etl-chapter-4-with-cloud-data-lakes-aws-s3-bucket-7be38855aebb"> <div> <div> <h2>Spark ETL Chapter 4 with Cloud data lakes (AWS S3 bucket)</h2> <div><h3>Previous blog/Context:</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*rOyqOjt40gBMqudQ)"></div> </div> </div> </a> </div><p id="74e5">5. Chapter5 -&gt; Spark ETL with Hive (HIVE tables | Temp view | Global view)</p><div id="ede5" class="link-block"> <a href="https://readmedium.com/spark-etl-chapter-5-with-hive-hive-tables-temp-view-global-view-1ba417c5bf5a"> <div> <div> <h2>Spark ETL Chapter 5 with Hive (HIVE tables | Temp View | Global view)</h2> <div><h3>Previous blog/Context:</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*ec2K9A6oEgjjHpie)"></div> </div> </div> </a> </div><p id="c946">6. Chapter6 -&gt; Spark ETL with APIs</p><div id="7580" class="link-block"> <a href="https://readmedium.com/spark-etl-chapter-6-with-apis-53df2fa3a8bd"> <div> <div> <h2>Spark ETL Chapter 6 with APIs</h2> <div><h3>Previous blog/Context:</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*6Ey0TX1AHjfizlEW)"></div> </div> </div> </a> </div><p id="094c">7. Chapter7 -&gt; Spark ETL with Lakehouse (Delta)</p><div id="b57d" class="link-block"> <a href="https://readmedium.com/spark-etl-chapter-7-with-lakehouse-delta-lake-7fbbd66e0f87"> <div> <div> <h2>Spark ETL Chapter 7 with Lakehouse | Delta Lake</h2> <div><h3>Previous blog/Context:</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*fBAZSx7gsmQv7QZA)"></div> </div> </div> </a> </div><p id="c9c2">8. Chapter8 -&gt; Spark ETL with Lakehouse (HUDI)</p><div id="6253" class="link-block"> <a href="https://readmedium.com/spark-etl-chapter-8-with-lakehouse-apache-hudi-d4794b8a79e6"> <div> <div> <h2>Spark ETL Chapter 8 with Lakehouse | Apache HUDI</h2> <div><h3>Previous blog/Context:</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*8bg2kTVInePCZBC8)"></div> </di # Options v> </div> </a> </div><p id="1fd8">9. Chapter9 -&gt; Spark ETL with Lakehouse (Apache Iceberg)</p><div id="2e3c" class="link-block"> <a href="https://readmedium.com/spark-etl-chapter-9-with-lakehouse-apache-iceberg-38e8fbf20e1"> <div> <div> <h2>Spark ETL Chapter 9 with Lakehouse | Apache Iceberg</h2> <div><h3>Previous blog/Context:</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*ftUKBfMKfT8G1x01)"></div> </div> </div> </a> </div><p id="7dd1">10. Chapter10 -&gt; Spark ETL with Lakehouse (Delta vs Iceberg vs HUDI)</p><div id="6222" class="link-block"> <a href="https://readmedium.com/spark-etl-chapter-10-with-lakehouse-9da24b99d569"> <div> <div> <h2>Spark ETL Chapter 10 with Lakehouse</h2> <div><h3>Spark ETL with Delta Lake, Apache Iceberg, and Apache Hudi</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*ykSK4MObB-pIQNu1)"></div> </div> </div> </a> </div><p id="3468">11. Chapter11 -&gt; Spark ETL with Lakehouse (Delta table Optimization)</p><div id="2a93" class="link-block"> <a href="https://readmedium.com/spark-etl-chapter-11-with-lakehouse-delta-table-optimization-3d5d84b02157"> <div> <div> <h2>Spark ETL Chapter 11 with Lakehouse (Delta table Optimization)</h2> <div><h3>Previous blog/Context:</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*1l8qBOPcFty-xzT0)"></div> </div> </div> </a> </div><p id="7f41">12. Chapter12 -&gt; Spark ETL with Lakehouse (Apache Kafka)</p><div id="f1c7" class="link-block"> <a href="https://readmedium.com/spark-chapter-12-spark-with-apache-kafka-5b50ca542335"> <div> <div> <h2>Spark Chapter 12 Spark with Apache Kafka</h2> <div><h3>Spark Stretured streaming with Apache Kafka</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*Miu1WAi08lwjWI90)"></div> </div> </div> </a> </div><p id="21c4">13. Installing External libraries in Spark</p><div id="b9c7" class="link-block"> <a href="https://readmedium.com/spark-installing-external-packages-2e752923392e"> <div> <div> <h2>Spark Installing external Packages</h2> <div><h3>Introduction</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*Xk6h39KzDp5x64OY)"></div> </div> </div> </a> </div><h1 id="6816">Video Explanation:</h1> <figure id="9e0f"> <div> <div> <img class="ratio" src="http://placehold.it/16x9"> <iframe class="" src="https://cdn.embedly.com/widgets/media.html?src=https%3A%2F%2Fwww.youtube.com%2Fembed%2FTvf04xcbODE%3Ffeature%3Doembed&amp;display_name=YouTube&amp;url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DTvf04xcbODE&amp;image=https%3A%2F%2Fi.ytimg.com%2Fvi%2FTvf04xcbODE%2Fhqdefault.jpg&amp;key=a19fcc184b9711e1b4764040d3dc5c07&amp;type=text%2Fhtml&amp;schema=youtube" allowfullscreen="" frameborder="0" height="480" width="640"> </div> </div> </figure></iframe></div></div></figure></article></body>

Spark ETL | ELT | Data Connections

Introduction:

In this blog, we will discuss Spark ETL (Extract, transform, and load) or ELT (Extract, load, and transform). In Spark to connect different data sources, we need to install libraries, we will discuss how to install all the required libraries and how to connect with different data sources and extract, transform, and load data.

System Setup:

Before starting this if you don’t have Data Engineering Setup ready, please find below the blog and video so you have your system ready to execute below Spark ETL pipelines.

Spark ETL Pipelines:

In the coming days, we will discuss below Spark ETL and data source connections (I will update the link with each ETL process once the video and blog are available)

0. Chapter0 -> Spark ETL with Files (CSV | JSON | Parquet)

  1. Chapter1 -> Spark ETL with SQL Database (MySQL | PostgreSQL)

2. Chapter2 -> Spark ETL with NoSQL Database (MongoDB)

3. Chapter3 -> Spark ETL with Azure (Blob | ADLS)

4. Chapter4 -> Spark ETL with AWS (S3 bucket)

5. Chapter5 -> Spark ETL with Hive (HIVE tables | Temp view | Global view)

6. Chapter6 -> Spark ETL with APIs

7. Chapter7 -> Spark ETL with Lakehouse (Delta)

8. Chapter8 -> Spark ETL with Lakehouse (HUDI)

9. Chapter9 -> Spark ETL with Lakehouse (Apache Iceberg)

10. Chapter10 -> Spark ETL with Lakehouse (Delta vs Iceberg vs HUDI)

11. Chapter11 -> Spark ETL with Lakehouse (Delta table Optimization)

12. Chapter12 -> Spark ETL with Lakehouse (Apache Kafka)

13. Installing External libraries in Spark

Video Explanation:

Spark
Etl Pipeline
Pyspark
Databricks
Spark Sql
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