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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 San Francisco?

    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
    San Francisco!

    Ranked as one of the greatest cities in the world, San Francisco is the cultural, commercial, and financial center of Northern California. Famous for cable cars, the Golden Gate Bridge, Michelin-starred dining, world-renowned symphony, ballet, theatre, and opera; plus almost boundless outdoor adventures, San Francisco justifiably stands out as one of the ultimate must-visit cities on any traveller’s wish list.

    San Francisco was ranked 5th in the world and second in the United States on the Global Financial Centres Index as of September 2021. Headquarters of giant companies such as Wells Fargo, Twitter, Block, Airbnb, Salesforce, Dropbox, Uber, and Lyft. The city, and the surrounding Bay Area, is a global center of the sciences and arts, world commerce, and is home to a number of prominent world-renowned educational and cultural institutions. Being considered the birthplace of new media; its South Park neighborhood houses some of the most innovative new technology companies in the world.

    According to the U.S. Department of Labor, San Francisco’s diverse and educated population results in one of the most productive workforces in the country and the world. Growth is expected to continue in the areas where San Francisco is already strong: high-technology industries, medical science and health-related fields, and finance.

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

    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 San Francisco 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 San Francisco
    please call our team at (877) 517-6540.

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

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