Remove Architecture Remove Data Engineering Remove Google Cloud Remove IoT
article thumbnail

Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

article thumbnail

Porsche Carrera Cup Brasil gets real-time data boost

CIO

In the past, to get at the data, engineers had to plug a USB stick into the car after a race, download the data, and upload it to Dropbox where the core engineering team could then access and analyze it. We introduced the Real-Time Hub,” says Arun Ulagaratchagan, CVP, Azure Data at Microsoft.

Data 247
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

Altexsoft

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

article thumbnail

Data Mesh Architecture: Concept, Main Principles, and Implementation

Altexsoft

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

article thumbnail

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

article thumbnail

Cloud Certification Guide: How to Master & Showcase Your Expertise in AWS, Azure, & Google Cloud

ParkMyCloud

Display a basic understanding of core AWS services, uses, and basic AWS architecture best practices. Demonstrate that they are capable of developing, deploying, and debugging cloud-based applications using AWS. Design and maintain network architecture for all AWS services. AWS Certified Big Data – Speciality.

article thumbnail

The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies.