🚀 Turbocharging your ETL workflows isn't just about speed; it's about unlocking potential! Here are three key insights to consider: 1️⃣ Optimize data transformations by leveraging in-memory processing—this can drastically cut down on latency. 2️⃣ Implement parallel processing to handle multiple data streams simultaneously, boosting throughput. 3️⃣ Regularly monitor and refine your data pipelines using analytics tools to identify bottlenecks and ensure peak performance. Each of these strategies not only enhances efficiency but also empowers your team to focus on innovation and growth! 🌟

The first step in optimizing any slow running ETL is to identify the bottleneck.Is the slowness happening in Reads from source ? Or data transformations ? Or writes to Targets ? Any ETL would have a detailed log information that captures the time of run of a query in all the above three areas. Based on the outcome of the above first step, analyze the logs to identify the problem query, capture times of run with various loads, busy %(if Informatica), get to know how the underlying data is currently organized, see if the best practices are followed. Such as - add or remove Indexes, Hints, table partitions, unnecessary join conditions. May be rewrite your existing queries ? Change design such as materialized views?Utilize temp space memory !

Usually I start with the longest running jobs. I will search for query inefficiencies to start, as sometimes one or two tweaks can make a world of difference. The you move the microscope back and look at your data structure. Is there something you can do more efficiently? For instance, are you truncate and reloading a table that used to be manageable for that operation but now needs a more nuanced approach? Are there other parts of the pipeline where volume has changed dramatically? My point is, I start with low hanging fruit and work my way back to architecture issues. Big changes take time and additional horsepower costs money. Find the easy changes first before trying to move forward with larger projects.

Another thing to remember is to engage experts. This stuff is not easy, and there are no universal silver bullets. Chatbots are great for many things but are not a replacement for experience. Depending on your platform or technology, your problem could be flipping a switch, adding a few DIMMs, or reducing concurrent memory consumption to minimize spillage to the disc. There are many things to evaluate, and answers in search of problems can lead to new problems. Find an expert you trust who has done their homework and understands the nuance.