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DevOps Engineer vs Software Engineer

The Crazy Programmer

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.

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Bottleneck #03: Product v Engineering

Martin Fowler

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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Requirement Engineering


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.

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Understanding the Role of DevOps in Digital Engineering

OTS Solutions

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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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

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.

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Engineering with Empathy – Kelsey Hightower

Agile Alliance

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.

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Fundamentals of Data Engineering


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.

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Decoding Code Review and Pull Requests - a handbook for Software Engineers and Tech Leads

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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Top Considerations for Building an Open Cloud Data Lake

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

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Discover How Senior Technology Leaders Can Secure the Budget That They Need

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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Success Story: Swiss Insurtech Company Hires a Remote CTO from Ukraine

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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From an Agency Serving Clients to Their Own Fintech Product

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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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

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.

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Skyscanner's Journey to a "Continuous Improvement" Team Culture

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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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

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.