Engineering Related Topics 
IT Toolbox
MARCH 14, 2024
Discover how data-centric engineering transforms projects with enhanced sustainability. The post Data-Centric Engineering: It’s Not Just About the Projects appeared first on Spiceworks.
IT Toolbox
JANUARY 8, 2024
In shaping the tech landscape, platform engineering is pivotal. The post Platform Engineering Trends 2024: Shaping the Future of Business appeared first on Spiceworks. Find out what are the key-trends to anticipate in the year 2024.
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IT Toolbox
OCTOBER 17, 2023
Hackers leverage social engineering in as much as 90% of all cyberattacks. The post Cybersecurity’s Soft Underbelly: The Threat From Social Engineering appeared first on Spiceworks.
IT Toolbox
JANUARY 30, 2024
Cloud engineers assist companies in building, maintaining, provisioning, securing, and optimizing cloud systems. The post Cloud Engineer: Job Description, Key Skills, and Salary in 2024 appeared first on Spiceworks.
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If you’re considering migrating from DataStax Enterprise (DSE) to open source Apache Cassandra®, our comprehensive guide is tailored for architects, engineers, and IT directors. Whether you’re motivated by cost savings, avoiding vendor lock-in, or embracing the vibrant open-source community, Apache Cassandra offers robust value.
Forrester IT
AUGUST 24, 2023
Learn how revenue operations leaders can achieve more with less in the face of executive constraints and still deliver for the growth engine.
CTOvision
JULY 6, 2021
Amazon has shifted its Lumberyard game engine to open source. This is big news not just for the gaming industry, but for any industry that can benefit from 3D modeling, 3D simulation, 3D planning/design. For more see: For more see : Amazon Web Services aka AWS.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)
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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.
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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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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: Bob Webber, VP Product Flow Optimization, Construx
This webinar is for engineering and product leaders who are struggling to find an innovation strategy that works. There's a lot of innovation advice out there, but very few companies are recognized for their innovation. Despite the importance of new product development, more than half of all product launches and innovations fail.
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Cloud data lake engines aspire to deliver performance and efficiency breakthroughs that make the data lake a viable new home for many mainstream BI workloads. Key takeaways from the guide include: Why you should use a cloud data lake engine. What workloads are suitable for cloud data lake engines.
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A software engineering team is most commonly measured by its outputs — the quality of the code delivered and the speed at which it was shipped. In this ebook, The Engineering Leader's Guide to Empowering Excellence With Data, you’ll learn how data can help you: Identify and eliminate blockers to help developers stay on track.
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