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Data Engineer Courses
Data Engineer Training Courses
Data Literacy and Tools Overview Training
Cloud Data Engineering with NiFi on AWS or GCP Training
Data Science and Data Engineering for Architects Training
API Management Fundamentals for Architects Training
Workflow Management with Apache Airflow Training
Written in Python, Airflow enables …
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.
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 Los Angeles?
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 so much more.
Data Engineer Training
A paradise of idyllic weather, with rich ethnic and cultural diversity, Los Angeles is the entertainment capital of the world, regarded as the most modern and quintessential American city.
Driven by a diverse and robust economy, L.A. has the busiest container port in the Americas. In 2018, the Los Angeles metropolitan area had a gross metropolitan product of over $1 trillion, making it the city with the third-largest GDP in the world, after Tokyo and New York City.
Functioning as the largest manufacturing center in the west, a major financial and banking center, and the largest retail market in the United States, Los Angeles offers a diverse employment pool, bolstered by a large number of immigrants – international, national, and regional. Along with a fast-growing high-tech and digital media industry cluster largely centered in West L.A, there are more than 700,000 people at work in health services/biomedical activities and 190,000 people in aerospace.
CBRE states “Los Angeles is an attractive market for tech talent due to the cluster of higher education – UCLA, USC, Caltech and others – the diversity of industry, its unique cultural fabric, its geography, and the Southern California lifestyle”.
Get started with the best Data Engineering courses with Web Age in Los Angeles!
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.”
Data sizes accumulated in many organizations come to hundreds of terabytes, approaching the petabyte levels.
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.
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?
- Introduction to Data Engineering (Related Course: Data Engineering Training for Managers)
- Basic Language Requirement: Python (Related Course: Introduction to Python Programming)
- Solid Knowledge of Operating Systems (Related Courses: Unix Training)
- Heavy, In-Depth Database Knowledge – SQL and NoSQL (Related Courses: NoSQL Training and Courseware)
- Data Warehousing – Hadoop, MapReduce, HIVE, PIG, Apache Spark, Kafka (Related Courses: Big Data Training)
- Basic Machine Learning Familiarity (Related Courses: AI and Machine Learning Training)
Web Age Solutions has been offering a wide selection of state-of-the-art IT classes in Los Angeles 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 Los Angeles
please call our team at (877) 517-6540.
Contact us to see how we can provide onsite customized training in Los Angeles for your team.