Build extensive data engineering and DevOps skills as you learn essential concepts. With this learning path, master the tools of the trade and how to apply them in real-world data project environments and platforms.
Build a foundation in data engineering and data science DevOps.
Explore techniques deployed in common tools and platforms.
Develop deeper skills in data science application programming.
Data Science Foundations: Data Engineering with Ben Sullins
Discover the basics of big data with a data science expert. Learn about how to perform core data engineering tasks including staging, profiling, cleansing, and migrating data.
53m 24s • COURSE
NoSQL Essential Training with Melanie McGee
Get a high-level view of the basics of NoSQL, from how it differs from relational databases to its pros and cons.
43m 17s • COURSE
Apache Spark Essential Training: Big Data Engineering with Kumaran Ponnambalam
Discover how to make Apache Spark work with other big data technologies to build data pipelines for data engineering and DevOps.
1h 40m • COURSE
Architecting Big Data Applications: Batch Mode Application Engineering with Kumaran Ponnambalam
Learn about use cases and best practices for architecting batch mode applications using big data technologies such as Hive and Apache Spark.
1h 37m • COURSE
Architecting Big Data Applications: Real-Time Application Engineering with Kumaran Ponnambalam
Learn about use cases and best practices for architecting real-time applications using big data technologies, such as Hazelcast and Apache Spark.
1h 4m • COURSE
SQL: Data Reporting and Analysis with Emma Saunders
Get the data you need for analysis and reporting by writing your own SQL code. Learn how to write basic SQL queries, sort and filter data, and join results from different tables.
2h 17m • COURSE
Advanced NoSQL for Data Science with Dan Sullivan
Explore the fundamentals of NoSQL. Learn the differences between NoSQL and traditional relational databases, discover how to perform common data science tasks with NoSQL, and more.
1h 56m • COURSE
SQL Tips, Tricks, & Techniques with Ben Sullins
Get Ben Sullins's 12 must-have SQL techniques for data science pros—engineers, DevOps, data miners, programmers, and other systems specialists.
59m 23s • COURSE
Cloud NoSQL for SQL Professionals with Lynn Langit
Learn how to choose a cloud-based NoSQL database solution that's right for your organization.
2h 39m • COURSE
You'll learn data engineering skills with these experts
As a lifelong data geek, Ben Sullins dedicates his time to helping others use data wisely.
Ben makes information meaningful and has fun doing it. His background affords him a unique set of knowledge that sets him apart in the data community. Since the late 1990s, he has consulted many high-tech companies, including Facebook, Microsoft, LinkedIn, Cisco, Mozilla, Pluralsight, and Genentech, on democratizing data in their organizations. Moreover, Ben spent three months leading the charge at Facebook to grow its data culture by demonstrating proper tool implementation and data visualization techniques using Tableau. And with this expertise, Ben aims to provide exceptional service to his customers by enriching their lives with impactful smart data.
Mel McGee is software engineer and the CEO and founder of We Can Code IT.
Mel founded We Can Code IT, a coding bootcamp that champions social equity through technology, in 2014. She is proud to have the opportunity to give back to the community and shepherd new, diverse, programmers into tech careers.
A self-professed data geek, Mel has over 20 years of experience as a software developer, working in IoT, artificial intelligence, augmented reality, and enterprise development. She has always had an interest in education, and in addition to her work with We Can Code IT, she also teaches at Weatherhead School of Management at Case Western Reserve University.
Kumaran Ponnambalam has been working with data for more than 20 years.
He has built enterprise and cloud applications that ingest data to produce meaningful insights for its consumers. Data has always intrigued Kumaran and he has always searched for ways to mine, manage, and master it. Using analytics to solve business problems is his key interest domain. Of late, he has taken a keen interest in building quality courses for people to understand and use data. Big data analytics is fast-growing, but quality education, especially in application areas, is lacking and he wants to contribute to it.
Emma Saunders is a freelance data consultant specializing in data visualization on the web.
A graduate of Oxford University, Emma has 15 years of business experience, starting on the Shell graduate scheme, and moving to Credit Suisse, the UK financial regulator, and even working a brief spell as a journalist at the Financial Times in London. She has never worked in an IT department, but taught herself coding skills as they have become useful from job to job. She also ran her own online business for a few years from 2006, and coded an ecommerce site for that venture. She is available professionally via http://vizdata.co.uk.
Dan Sullivan, PhD, is an enterprise architect and big data expert.
Dan specializes in data architecture, analytics, data mining, statistics, data modeling, big data, and cloud computing. In addition, he holds a PhD in genetics, bioinformatics, and computational biology. Dan works regularly with Spark, Oracle, NoSQL, MongoDB, Redis, R, and Python. He has extensive writing experience in topics including cloud computing, big data, Hadoop, and security.
Lynn Langit is a cloud architect who works with Amazon Web Services and Google Cloud Platform.
Lynn specializes in big data projects. She has worked with AWS Athena, Aurora, Redshift, Kinesis, and the IoT. She has also done production work with Databricks for Apache Spark and Google Cloud Dataproc, Bigtable, BigQuery, and Cloud Spanner.
Lynn is also the cofounder of Teaching Kids Programming. She has spoken on data and cloud technologies in North and South America, Europe, Africa, Asia, and Australia.