Top Open Source Projects You Can Use for Data Engineering

In the ever-evolving landscape of data engineering, the importance of open-source projects cannot be overstated. 🚀 Why, you ask? Well, let me break it down for you 😊

📌 𝐓𝐨𝐩 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐭𝐡𝐚𝐭 𝐡𝐚𝐯𝐞 𝐛𝐞𝐞𝐧 𝐠𝐚𝐦𝐞-𝐜𝐡𝐚𝐧𝐠𝐞𝐫𝐬 𝐢𝐧 𝐦𝐲 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐜𝐚𝐫𝐞𝐞𝐫, 𝐚𝐧𝐝 𝐜𝐚𝐧 𝐛𝐞 𝐟𝐨𝐫 𝐲𝐨𝐮 𝐭𝐨𝐨! 💡

1️⃣ 𝐃𝐚𝐭𝐚𝐡𝐮𝐛: DataHub is an open-source project revolutionizing data discovery and data governance platforms. It offers a unified platform for data cataloging, metadata management, and data lineage tracking, making data assets more accessible and understandable. Data engineers and analysts can collaborate seamlessly, leading to faster insights and informed decision-making.

𝐋𝐢𝐧𝐤 𝐭𝐨 𝐃𝐚𝐭𝐚𝐡𝐮𝐛 𝐎𝐟𝐟𝐢𝐜𝐢𝐚𝐥 𝐃𝐨𝐜: https://lnkd.in/dh7M7XGy

2️⃣ 𝐒𝐩𝐚𝐫𝐤 𝐋𝐢𝐧𝐞𝐚𝐠𝐞 𝐁𝐮𝐢𝐥𝐝 𝐔𝐬𝐢𝐧𝐠 𝐒𝐩𝐥𝐢𝐧𝐞: It is basically used to create spark lineage for your spark application submitted to the cluster. It tells what is source tables being used to make the destination table & and also tells which mode of method like 𝐨𝐯𝐞𝐫𝐰𝐫𝐢𝐭𝐞, 𝐚𝐩𝐩𝐞𝐧𝐝, 𝐨𝐫 𝐮𝐩𝐬𝐞𝐫𝐭 𝐬𝐩𝐚𝐫𝐤 𝐰𝐫𝐢𝐭𝐞 𝐦𝐨𝐝𝐞 used to create the final delta lake table. As shown in the below figure.

𝐋𝐢𝐧𝐤 𝐭𝐨 𝐒𝐩𝐥𝐢𝐧𝐞 𝐎𝐟𝐟𝐢𝐜𝐢𝐚𝐥 𝐃𝐨𝐜: https://lnkd.in/dn--Fs6Y

3️⃣ Databricks 𝐎𝐯𝐞𝐫𝐰𝐚𝐭𝐜𝐡: Overwatch collects data from multiple data sources (audit logs, APIs, cluster logs, etc.), process, enrich, and aggregate them following the traditional Bronze/Silver/Gold approach. The data that is provided by Overwatch could be used for different purposes:

📌 Cost estimation — it may provide more granular analysis, like, attributing costs to specific notebooks and users, and also overcome the limits for clusters acquired from the instance pools📌Governance and monitoring with much longer periods of time and much cheaper compared to Azure Log Analytics or other solutions

𝐋𝐢𝐧𝐤 𝐭𝐨 𝐎𝐯𝐞𝐫𝐰𝐚𝐭𝐜𝐡 𝐎𝐟𝐟𝐢𝐜𝐢𝐚𝐥 𝐃𝐨𝐜: https://lnkd.in/d3xTDJn3

4️⃣ 𝐒𝐐𝐋𝐆𝐥𝐨𝐭: SQLGlot is an SQL parser, transpiler, optimizer, and engine. It can be used to translate between 20 different dialects like Spark, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically and semantically correct SQL.

𝐋𝐢𝐧𝐤 𝐭𝐨 𝐒𝐐𝐋𝐆𝐥𝐨𝐭 𝐎𝐟𝐟𝐢𝐜𝐢𝐚𝐥 𝐃𝐨𝐜: https://lnkd.in/dAgsBH5U

Please follow me on Medium Nishchay Agrawal. & on my Linkedin https://www.linkedin.com/in/nishchay-agrawal-157404170/

Subscribe to My YouTube channel for Data Engineering Insights for Top Product Companies https://www.youtube.com/@nishchay-dataengineer