Courses to practice crucial Data Engineering skills.
These days, courses are no longer a sequence of videos. They are usually accompanied by projects and a
learning community, keeping you accountable and on the path.
Our experts recommend these courses, from free
selections to paid programs.
Advanced Database Administration
Learn the fundamentals of administering relational database management systems, including managing concurrency and creating objects in the database
Data Engineering
Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project.
Data Engineering on Google Cloud platform
End to end batch processing,data orchestration and real time streaming analytics on GCP
Data engineering and smart analytics
The need for data analysis skills grew by 86% from 2013 to 2018. 1 Become data-driven with Google Cloud. Leverage data and gain real-time insights that improve your decision-making and accelerate innovation. Learn how to design and build data processing systems.
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Best books to further your Data Engineering understanding.
A well-written and thorough book can be an amazing path to build deeper understand and also act as a
handbook as you discover the internet's vast resources.
These are our and our experts top picks to get
started building career-relevant skills.
Data Engineering Cookbook
Five types of content are in this book: Articles the author wrote, links to his podcast episodes (video & audio), more than 200 links to helpful websites he like, data engineering interview questions and case studies.
Database and Expert Systems Applications
The Database and Expert Systems Application -DEXA - conferences are mainly oriented to establish a state-of-the art forum on Database and Expert System applications. But Practice without Theory has no sense, as Leonardo said five centuries ago. In this Conference we try a comprornise between these two complementary aspects. A total of 5 sessions are application-oriented, ranging from classical applications to more unusual ones in Software Engineering.
The Data Warehouse Toolkit
One of the most dramatic new developments in database design, the dimensional data warehouse is a powerful database model that.significantly enhances managers' ability to quickly analyze large, multidimensional data sets. Written by the leading proponent of this revolutionary new approach, this valuable book/CD toolkit outfits you with all the nuts-and-bolts information you need to design, build, manage, and use dimensional data warehouses for virtually any type of business application, as well as software for querying dimensional data warehouses.
Designing Data-Intensive Applications
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?
Advanced Topics in Database Research
Advanced Topics in Database Research is a series of books on the fields of database, software engineering, and systems analysis and design. They feature the latest research ideas and topics on how to enhance current database systems, improve information storage, refine existing database models, and develop advanced applications.
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The Data Engineering must-reads you shouldn't miss.
Key articles and posts of industry experts can help you get a better picture of what you are getting
into.
In our opinion, these are some must-reads you really shouldn't miss.
The Path to Becoming a Data Engineer
The definitive guide to help you become a data engineer.
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A Strategic Approach to Data Quality
“To tackle today’s Data Quality challenges, you need a more strategic approach,” said Nigel Turner, Principal Consultant, Global Data Strategy.
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What Are The Benefits Of Cloud Data Warehousing And Why You Should Migrate
Since then the concept has evolved and taken on a life of its own. Increasing challenges and complexities of business have forced data warehousing to become a distinct discipline. Over the years this has led to best business practices, improved technologies, and hundreds of books being published on the topic.
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Harness the power of data literacy through democratizing data
Author Jordan Morrow weighs in on enterprise strategies to improve democratizing data through expanded use of BI and augmented analytics.
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The Future of the Data Engineer
Is the data engineer still the “worst seat at the table?” Thoughts on the past, present, and future of tooling, processes, and culture in our industry.
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Essential Responsibilities and Skills of a Data Engineer
Quite often, it is observed that people, as well as organizations, are ignoring essential skills for a Data Engineer. In this detailed article, I will cover all the essential skills to become a Data Engineer.
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10 Data Literacy Skills to Become a Data Citizen
Data literacy skills are increasingly top-of-mind for corporate learning and development initiatives. A recent webinar guest, Daryl D’Cruz, shared, “data literacy skills are the building blocks of digital transformation.”
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