InfoQ Homepage Project Management Content on InfoQ
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Establishing Business Agility in a Bank
Dee Wauchope, Julian Holmes explain how ThoughtWorks supported a change journey at a major bank, the results that were achieved, the challenges they faced and how they overcame them.
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Advanced Data Visualizations in Jupyter Notebooks
Chakri Cherukuri discusses how to build advanced data visualization applications and interactive plots in Jupyter notebooks, including use cases with time series analysis.
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Building and Running Applications at Scale in Zalando
Pamela Canchanya shares practices and lessons learned when building and running critical business applications at scale.
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Datadog: a Real-Time Metrics Database for One Quadrillion Points/Day
Ian Nowland & Joel Barciauskas talk about the challenges Datadog faces, how the architecture has evolved, and what they are looking to in the future as they architect for a quadrillion points per day.
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Scaling DB Access for Billions of Queries Per Day @PayPal
Petrica Voicu and Kenneth Kang talk about Hera (High Efficiency Reliable Access to data stores) – an open-source in Go – and how it helps PayPal to manage database access and deal with issues.
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Breaking Hierarchy - How Spotify Enables Engineer Decision Making
Kristian Lindwall shares how Spotify approaches the problem of fully leveraging the capacity of everyone in the organization.
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Tackling Computing Challenges @CERN
Maria Girone discusses the current challenges of capturing, storing, and processing the large volumes of data generated by the Large Hadron Collider experiments.
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A Dive into Streams @LinkedIn with Brooklin
Celia Kung talks about Brooklin, LinkedIn’s managed data streaming service, and dives deeper into its architecture and use cases, as well as their future plans.
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How to Scale Lead Time
Ilona Kędracka and Chris Matts share their experience of what is needed to scale lead time to an organization of five thousand people.
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DeepRacer and DeepLens, Machine Learning for Fun! (and Profit?)
Jeremy Edberg shares his work with DeepRacer and DeepLens, talking about some of the basics of ML used in these projects and showing a DeepRacer in action.
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Mythbusting: Every Project Needs to be Automated
Alexandra Nagy discusses if projects need to be automated or not.
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Apache Metron in the Real World – Big Data and Cybersecurity, a Perfect Match
Dave Russell takes a look at a number of different organizations who are on their big data cybersecurity journey with Apache Metron.
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