There are a ton of resources out there for Data Engineers to learn to develop/administrate Hadoop/Big Data Ecosystem. Do all these courses require basic Java Knowledge? When you are starting out learning to become a data engineer it can seem everywhere you look basic Java skills are required, but I’m telling you that is not the case. In this video I’ll explore the options and thoughts on learning big data without Java skills.
What Big Data Skills should data scientist understand to be able to take advantage of the Hadoop Ecosystem? Today’s episode of Big Data Big Questions we tackle the tools and frameworks that Data Scientist should know in order to work in Big Data. Also we’ll break down how much of Spark, Hadoop, Mahout, MADLIB, and other tools Data Scientist need to understand. Lastly I’ll give tips for Data Engineers that want to begin to move toward the Data Scientist role.
Find out about Big Data Skills for Data Science by watching the video below.
What are the skills required to land a Big Data Engineer Internship? Is it possible to gain those skills in under 3 months?
Today’s question comes in from YouTube: “Please make a video on how much time is required to become big data engineer ?? is it possible in 3 months and also try to mention about minimum skills required for internship.”
In this episode of Big Data Big Questions we will explore what the basic skills are for landing an Data Engineer Internship and tips for excelling after landing that internship. Watch the video below to find out what skills Data Engineers should focus on before applying for a Data Engineer Internship.
One of the most popular Ted Talks is Simon Sinek’s where he talks about the Golden Circle. The talk is based on his book Start With Why. Last year I was gifted the book after watching the video during a meeting. While the book is not necessarily about Technology or Big Data it certainly applies for Data Engineers/Data Scientist.
One of the keys skills I’ve talked about before is know what the business use case is for your Big Data Projects. Start With Why builds upon understanding why we are doing the task in our careers. As a engineer we tend to focus heavily of the what and how (think tools/frameworks/coding techniques) but the why is acutally the most important aspect (also the hardest to express).
Watch the video below to see my Start With Why Book review.