Engineering Related Topics 
The Crazy Programmer
SEPTEMBER 21, 2021
It is common for people to confuse these two prominent career options – DevOps Engineer and Software Engineer. Role of Software Engineer. Software engineers are responsible for developing software based on the needs of clients. There are many types of software engineers, such as. Security engineer.
Martin Fowler
OCTOBER 10, 2022
In the third article on the Bottlenecks of Scaleups, Rick Kick and Kennedy Collins talk about the bottleneck that occurs when friction develops between product and engineering.
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InnovationM
SEPTEMBER 21, 2023
In the realm of software development, Requirement Engineering (RE) stands as a critical and foundational process that lays the groundwork for successful project outcomes. Requirements engineering is the process of identifying, analyzing, specifying, validating, and managing the needs and expectations of stakeholders for a software system.
OTS Solutions
JULY 18, 2023
To meet this demand, enterprises have turned to DevOps and digital engineering practices to streamline their software development and delivery processes. What are DevOps and Digital Engineering? Why are DevOps and Digital Engineering Important? Why are DevOps and Digital Engineering Important?
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To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. Businesses today compete on their ability to turn big data into essential business insights.
Agile Alliance
AUGUST 22, 2022
Defining engineering with empathy through a collection of real-world examples followed by a fireside chat to dig into the details. The post Engineering with Empathy – Kelsey Hightower first appeared on Agile Alliance.
Xebia
JANUARY 19, 2023
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.
A complete handbook on implementing a code review culture in your organization. Written by Elaine Watanabe, it's a practical e-book with useful examples and references, and a must-read for all tech teams.
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Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data. How cloud data lake engines enable a better balance between data warehouse investments versus those in the cloud data lake
Speaker: Kevin Goldsmith, Chief Technology Officer at Anaconda | Peyman Pouryekta, CEO and Technology Advisor | Bob Webber, VP Product Flow Optimization, Construx
This can be challenging, as engineering is often seen as a cost center, making it difficult to gain management buy-in for strategic investments. Quantify the value of the software that engineering produces. By the end of this session you will learn how to: Strategically invest in technology. Determine the success of an investment.
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Ability to build, scale and shrink the team very fast, combined with the very best software engineering talent, made it a perfect mix of reasons why the company has made these decisions. Swiss Insurtech startup decided to go the 2nd way and found a trusted partner to build a dedicated development team in Ukraine.
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With this in mind, a Canadian full stack digital agency decided to jump into offshoring not only to find skilled engineers, but also to expand cultural barriers with countries across the world. The project they needed to complete was aimed at operating within the financial environment, thus it was tremendous, scrupulous, and time-consuming.
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However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs. Why agile development concepts, when applied to the data tier, can dramatically increase data engineering agility.
Speaker: Ramsay Ashby
They shared what originally took them down this path, including the signs that change was needed and the impact it has had.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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