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Top 10 Data Engineering Blogs

I’ve always been surprised with the rise of data engineering and big data, how hard it is to find good data engineering content that is somewhat regular. Tech moves fast and I feel like data engineering moves even faster. There are always new tools and systems coming out with regular frequency, it’s hard to keep up with what’s hot and whats not. But, I still think it’s important to keep a finger on the pulse of what tech stacks are starting to take over (Spark) and what is fading into oblivion. So here is my top ten list of data engineering blogs, these are the places that I frequent so I at least know what’s going on in the world of data engineering.

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4 DataWarehouse-ish Functions For Your PySpark Dataframes

Ever felt like just exploring documentation… seeing what you can find? That’s what you do on a cold, first snowstorm of the year Sunday afternoon. After the initial fun has warn off, the kids don’t want to go outside anymore, and Netflix has nothing new to offer up. So I thought I might as well spend some time poking around the PySpark Dataframe API, seeing what strange wonders I can uncover. I did find a few methods that took me back to my SQL Data Warehouse days. Memories of my old school Data Analyst and Business Intelligence days in Data Warehousing… the endless line of SQL queries being written day after day. Anyways lets dive into the 4 analytical methods you can call on your PySpark Dataframe, buried in the documentation like some tarnished gem.

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Intro to Apache Cassandra for Data Engineers

Who who? Apache Cassandra, who?

Hmm… yet another distributed database …. will it ever end? Probably not. It’s hard to keep up with them all, even the old ones. That brings me to Apache Cassandra. Of all the popular big data distributed databases Cassandra seems to be kind of that student who always sits in the back row and never says anything… you forget they are there…. until someone says their name….. Apache Cassandra. I honestly didn’t even know what space Cassandra fit in before trying to install and use it… so this should fun. What Is Cassandra? Distributed NoSQL.

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Intro to Apache Beam for Data Engineers

Apache Beam for Data Engineers.

What is this thing? What’s it good for? Who’s using it and why? That’s pretty much what I ask myself once a month when I actually see the name Apache Beam pop up in some feed I’m scrolling through. I figured it has to be legit to be Apache incubated, but I’ve never run across anyone in the wild using it yet. On the surface it appears to be semi-pointless since it runs on-top of other distributed systems like Spark, but I’m sure there is more to it. Today, I’m going to run through an overview of Apache Beam and then try installing and running some data through it, kick the tires as it were. And see if my mind changes about the pointless bit.

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Intro to Apache Kafka for Data Engineers

Streams…. the Apache Kafka one….

Streams, streams, streams…. when will it ever end? It’s hard to keep up with all the messaging systems these days. GCP PubSub, AWS SQS, RabbitMQ, blah blah. Of course there is Kafka, hard to miss that name floating around in the interwebs. Since pretty much every system designed these days is a conglomerate of services… it’s probably a good idea to poke at things under the cover. Of course Apache Kafka is probably at the top of list of those open source streaming services. Today I’m going to attempt to install a Kafka cluster and push some messages around.

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