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    Data Engineer Courses

    Data Engineer Training Courses

    Data Literacy and Tools Overview Training

    Course ID: TP3152
    Delivery: On-Site or Instructor-led Virtual
    This course will provide participants with an introduction to key terms and important concepts related to data literacy.  Additionally, it will provide a brief overview of the core …

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    Introduction to Talend Training

    Course ID: TP2700
    Delivery: On-Site or Instructor-led Virtual
    This 3 day course provides an introduction to Talend.

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    Cloud Data Engineering with NiFi on AWS or GCP Training

    Course ID: TP2913
    Delivery: On-Site or Instructor-led Virtual
    This course is intended for students looking to learn data processing on the cloud with Apache NiFi – a visually programmed software tool that automates the movement and transformation of …

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    Data Science and Data Engineering for Architects Training

    Course ID: WA3057
    Delivery: On-Site or Instructor-led Virtual
    This intensive Data Science training course covers the theoretical and practical aspects of applying the principles and methods of Data Science and Data Engineering in practice.  The …

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    API Management Fundamentals for Architects Training

    Course ID: WA2895
    Delivery: On-Site or Instructor-led Virtual
    Does your organization want to expose its internal system APIs for external or public consumption in a completely secure and controlled way? With this API management course designed …

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    Workflow Management with Apache Airflow Training

    Course ID: WA3001
    Delivery: On-Site or Instructor-led Virtual
    Apache Airflow is a configuration-as-code OSS solution for workflow automation that is positioned as a replacement of cron-like scheduling systems.
    Written in Python, Airflow enables …

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    Proven Results in Data Engineering Training

    For over 20 years, we have trained thousands of developers at some of the country’s largest tech companies – including many Fortune 500 companies. We’re proudly distinguished by these clients, partners and awards.

    aws training   Microsoft Silver Partner   ISACA logo   open group profit100

    This was a great course. I loved the blend of Python Concepts Plus Just enough Data science to be productive
    Instructor was very thorough, yet practical. He was a great communicator and explained everything in layman’s terms.
    Great tutorials! I will go back to these
    This course is excellent. It gave me an overview of data science and a good understanding. It put me in the right direction of data analysis in my work.

    Should I Attend Data Engineer Training Denver?

    The data engineering field is expected to continue growing rapidly over the next several years, and there’s huge demand for data engineers across industries.

    The global Big Data and data engineering services market is expected to grow at a CAGR of 31.3 percent by 2025.

    Comprehensive data engineer training with Web Age will teach you to organize, analyze and interpret your many sources of big data and information.

    The data engineer training courses we offer provide your teams the skills they need to discover insights required for analyzing and tackling critical factors such as risk, performance, quality, forecasting, estimating, simulation, business process improvement, and much more.

    Data Engineer Training
    Denver!

    Urban sophistication meets outdoor adventure in Denver, the Mile High City, where 300 days of sunshine, a thriving cultural scene, diverse neighborhoods and natural beauty combine for one of the world’s most spectacular playgrounds.

    Prominent industries include air transportation, telecommunications, aerospace, and manufacturing. The financial and commercial capital of the Rocky Mountain region, Denver’s downtown banking district – dubbed the “Wall Street of the Rockies” – consists of major national and international institutions. The city is the transportation hub for a large portion of the western United States; consumer and industrial goods are transported by air, rail, and truck through Denver to more than 30 million people annually. Denver is also a Foreign Trade Zone, providing advantages to companies involved in international trade.

    Analysts predict that the U.S. population is shifting south and west; projections indicate that the city will become a high-technology research, development, and manufacturing hub for the entire Southwest. Future job growth over the next ten years is predicted to be 45.0%, which is higher than the US average of 33.5%.

    Get started with the best Data Engineering courses with Web Age in Denver!

    PySpark for Data Engineering & Machine Learning

    In this Data Engineer Training video  we will review the core capabilities of PySpark as well as PySpark’s areas of specialization in data engineering, ETL, and Machine Learning use cases.

    Frequently Asked Questions

    What is a Data Engineer?

    A data engineer conceives, builds and maintains the data infrastructure that holds your enterprise’s advanced analytics capacities together.

    A data engineer is responsible for building and maintaining the data architecture of a data science project. Data Engineers are responsible for the creation and maintenance of analytics infrastructure that enables almost every other function in the data world. They are responsible for the development, construction, maintenance and testing of architectures, such as databases and large-scale processing systems. As part of this, Data Engineers are also responsible for the creation of data set processes used in modeling, mining, acquisition, and verification.

    What is Data Engineering

    Data engineering is a software engineering practice with a focus on design, development, and productionizing of data processing systems. Data processing includes all the practical aspects of data handling, including:Data acquisition, transfer, transformation, and storage on-prem or in the cloud. In many cases, data can be categorized as Big Data.

    Gartner’s Definition of Big Data

    Gartner’s analyst Doug Laney defined three dimensions to data growth challenges: increasing volume (amount of data), velocity (speed of data in and out), and variety (range of data types and sources).

    In 2012, Gartner updated its definition as follows: “Big data are high volume, high velocity, and/or high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization.”

    Volume

    Data sizes accumulated in many organizations come to hundreds of terabytes, approaching the petabyte levels.

    Variety

    Big Data comes in different formats as well as unformatted (unstructured) and various types like text, audio, voice, VoIP, images, video, e-mails, web traffic log files entries, sensor byte streams, etc.

    Velocity

    High traffic on-line banking web site can generate hundreds of TPS (transactions per second) each of which may be required to be subjected to fraud detection analysis in real or near-real time.

    What are the core Data Engineering skills?

    Web Age Solutions has been offering a wide selection of state-of-the-art IT classes in Denver for almost 20 years.

    You can browse through all of our available courses, view class outlines, and check availability on our website.

    If you’d like to discuss personalized training options or have questions about Data Engineer Training in Denver
    please call our team at (877) 517-6540.

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    Contact us to see how we can provide
    onsite customized training in Denver for your team.

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