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Video instructions and help with filling out and completing Can Form 1120 Schedule M 3 Abandonment

Instructions and Help about Can Form 1120 Schedule M 3 Abandonment

Hello everyone, my name is Artem Voice, and I'm a software engineer at Factual. Today, I'm going to introduce an open-source tool called Drake. Wade Factual works with data quite a bit. We are a data company that gets data from different sources, cleans and massages it, joins it with each other, and runs machine learning algorithms, including clustering algorithms. As you can imagine, our data workflow tends to get quite complicated, with many steps. Drake is our attempt to address some of those issues that we ran into, and we hope other data scientists and engineers will find this tool invaluable. I have a window here with my presentation and a couple of terminal windows open. First, I'll give a short explanation of what Drake is and why we built it. Then, I'll give a real-time demonstration of what it's like to work with Drake. We'll cover basic and advanced concepts and discuss ongoing development. Let me maximize this window for now and provide you with some background information. Drake is a data workflow management tool, but what exactly is a data workflow? It can look something like this: you download data from a source in its own format, convert it into JSON, remove unnecessary entries, make other data changes, and then copy it to HDFS. As you can see, even at this early stage, you already have five steps, which can quickly become overwhelming. We looked at this problem and others to identify the most painful aspects we experienced. Several important aspects include the ability to reproduce commands and actions with data, file locations becoming fuzzy when multiple engineers are involved, and making changes to steps in the workflow and having to rebuild dependent steps as well. These challenges can be mitigated by using an automated tool rather than relying...