Data Engineer Training

We offer proven Data Engineer Training regularly delivered to our worldwide Fortune 500 clients

Data Engineer Training

Take Data Engineer Training with the Experts!

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 Engineering with Python

Presenter: Mikhail Vladimirov, Director of Curriculum Architecture
Recorded on: November 7, 2019
Duration: 60 minutes

Description: In this webinar, we’ll review the core capabilities of Python that enable developers to solve a variety of data engineering problems. We’ll also review NumPy and pandas libraries, with a focus on such topics as the need for understanding your data, selecting the right data types, improving performance of your applications, common data repairing techniques, and so on.

Related course: WA2905 Data Engineering with Python

PySpark for Data Engineering & Machine Learning

Presenter: Mikhail Vladimirov, Director of Curriculum Architecture
Recorded on: September 20, 2019
Duration: 60 min.

Description: In this webinar 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.

Related courses:

WA2845 Practical Machine Learning with Apache Spark

WA2905 Data Engineering with Python Training

Proven Results

For over 20 years, we have trained thousands of developers at some of the country’s largest tech companies – including many Fortune 500 companies. Here are a few of the clients we have delivered Data Engineering Courses to:

Booz Allen Hamilton Data Engineer Training     Liberty Mutual Data Engineer Training     FedEx Ground Data Engineer Training     Fidelity Investments Data Engineer Training     Lockheed Martin Data Engineer Training    Data Engineer Training

Here are some reviews from past students who completed our Data Engineering Courses:

“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.”

Data Engineer TrainingOur Featured Data Engineer Training Blogs

What is Data Engineering?

Data engineering is a software engineering practice with a focus on design, development, and productionizing of data processing systems.

Distributed Computing Concepts for Data Engineers

We need a new approach — distributed computing where processing is done on clusters of computers.

But there are challenges like… Read More

Data Engineer Training

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 the difference between a Data Scientist and a Data Engineer?

It is important to know the distinction between these 2 roles.

While there is frequent collaboration between data scientists and data engineers, they’re different positions that prioritize different skill sets. Data scientists focus on advanced statistics and mathematical analysis of the data that’s generated and stored, all in the interest of identifying trends and solving business needs or industry questions. But they can’t do their job without a team of data engineers who have advanced programming skills (Java, Scala, Python) and an understanding of distributed systems and data pipelines.

Broadly speaking, a data scientist builds models using a combination of statistics, mathematics, machine learning and domain based knowledge. He/she has to code and build these models using the same tools/languages and framework that the organization supports.

A data engineer on the other hand has to build and maintain data structures and architectures for data ingestion, processing, and deployment for large-scale data-intensive applications. To build a pipeline for data collection and storage, to funnel the data to the data scientists, to put the model into production – these are just some of the tasks a data engineer has to perform.

Data scientists and data engineers need to work together for any large scale data science project to succeed,

What are the different roles in Data Engineering?

Data Engineer:  A data engineer needs to have knowledge of database tools, languages like Python and Java, distributed systems like Hadoop, among other things. It’s a combination of tasks into one single role.

Data Architect: A data architect lays down the foundation for data management systems to ingest, integrate and maintain all the data sources. This role requires knowledge of tools like SQL, XML, Hive, Pig, Spark, etc.

Database Administrator: As the name suggests, a person working in this role requires extensive knowledge of databases. Responsibilities entail ensuring the databases are available to all the required users, is maintained properly and functions without any hiccups when new features are added.

What are the core Data Engineering skills?

What is the future for Data Engineering?

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.

Can I take Data Engineer Training online?

Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient Data Engineer training online to meet your needs wherever you want. We offer our Data Engineering courses as public Data Engineer training classes or dedicated Data Engineer training. Ask us about taking a Data Engineer training online course!

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