Data management from prep to storytelling, case study videos from leading organizations, and a bit of relaxation and inspiration, all from O’Reilly this month…
Manage your data with integrity and intention from beginning to end:
- A Common-Sense Guide to Data Structures and Algorithms, Second Edition / Jay Wengrow.
- Advanced Analytics in Power BI with R and Python: Ingesting, Transforming, Visualizing / Ryan Wade.
- Advanced Positioning, Flow, and Sentiment Analysis in Commodity Markets, Second Edition / Mark Keenan.
- Argument Mining / Mathilde Janier.
- Automatic Detection of Irony / Jihen Karoui.
- Clustering Methodology for Symbolic Data / Lynne Billard.
- Creating Good Data: A Guide to Dataset Structure and Data Representation / Harry Foxwell.
- Effective Data Storytelling: How to Drive Change with Data, Narrative, and Visuals / Brent Dykes.
- Improving Your Splunk Skills / James Miller.
- Machine Learning with Regression in Python: With Ordinary Least Squares, Ridge, Decision Trees and Neural Networks / Michael Keith.
- Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, Second Edition / Dursun Delen.
- SQL for Data Analytics / Upom Malik.
- Tableau Strategies: Solving Real, Practical Problems with Data Analytics / Ann Jackson.
- To Fight Pandemics, We Need Better Data / Thomas Davenport.
- Transforming Healthcare Analytics / Michael Lewis.
- Why Our Knowledge Economy Can Survive the New Age of Pestilence / Joel Mokyr.
Kick back and watch a video about how organizations are approaching current technological issues:
- How an airport consultancy is transforming routine airport operations with AI / Carolina Sanchez-Hernandez.
- How Bitnami sources talent and builds a global team / Erica Brescia.
- How Box evolved its database infrastructure to handle an ever-growing query load and dataset / Tamar Bercovici.
- How Capital One became active open source contributors / Tapabrata Pal.
- How Captricity built a human-level handwriting recognition engine using data-driven AI / Ramesh Sridharan.
- How Cerner is modernizing corporate data platforms with hybrid cloud architecture / Jennifer Lim.
- How Civis Analytics created a more effective data-driven team / Katie Malone.
- How Comcast successfully migrated a recommendations platform to the cloud / Leemay Nassery.
- How Comcast uses AI to reinvent the customer experience / Jan Neumann.
- How Conversica improves conversational AI over thousands of customer interactions / Sid Reddy.
- How Danske Bank used Enclave-based architecture to deliver at startup speed / Angelo Nicolosi.
- How DigitalOcean managed the Spectre and Meltdown vulnerabilities / Tom Spiegelman.
- How Disney built a modern cloud with open source / Chris Launey.
- How Distil achieved PCI compliance in 90 days flat / John Bullard.
- How DoorDash leverages AI in its world-class on-demand logistics engine / Raghav Ramesh.
- How Dyn deals with DDoS attacks from an ops perspective / Phil Stanhope.
- How Fastly navigates microservices pitfalls / Blithe Rocher.
- How Fastly used Prometheus to improve infrastructure and application monitoring / Marcus Barczak.
- How FINRA technology integrates data feeds to provide analytics and visuals / Janaki Parameswaran.
- How GameStop migrated 12 ecommerce sites to the cloud / Rob Burke.
- How General Mills is using data automation to enable decision makers to quickly focus on the metrics that matter and cut through everything else that does not / Wayde Fleener.
- How GoDaddy optimizes customer engagement through performance / Jim Pierson.
- How Google identified 12.4 million potential victims of phishing / Neal Mueller.
- How Google is using AI to enhance the digital experience / Ron Bodkin.
- How great products begin with great cultures at LinkedIn / Steve Johnson.
- How GrubHub safely rolled out complex changes at scale with Microservices / Jeffrey Valeo.
- How HealthCare.gov migrated to the cloud with Terraform / Christian Monaghan.
- How Hewlett Packard used OpenSource in the enterprise / Alex Mejias.
- How HomeDepot.com transitioned to microservices / Christopher Grant.
- How IBM applied design thinking / Phil Gilbert.
- How Instagram has evolved using Open Source / Hui Ding.
- How Intuit applied design thinking / Suzanne Pellican.
- How Intuit moved millions of customers from private infrastructure to public cloud / Siddharth Ram.
- How John Deere is applying Agile principles to data science / Sam Helmich.
- How Jumio is using deep learning and computer vision to authenticate and verify the legitimacy of important legal documents / Labhesh Patel.
- How Kaiser Permanente is using big data for better understanding patients, addressing illnesses at the onset, and diminishing outbreaks / Jennie Shin.
- How machine learning powers the Uber infrastructure / Zhenxiao Luo.
- How major league baseball teams are using data science and deep learning for to better predict outcomes and game strategy / Thomas Miller.
- How Mastercard successfully introduced open source / Daniel Ruggeri.
- How Microsoft applied human factors ideas to software development / Jessica DeVita.
- How Mount Sinai operationalized analytics to drive a more decision-centric design for risk models around population health / Michael Berger.
- How Mozilla used enterprise architecture to pivot / Michael Van Kleeck.
- How Navistar is using predictive analytics to analyze data / Steve Otto.
- How Naxex uses Domain-Driven Design / Vladik Khononov.
- How NBC builds a pipeline to hire developers / H. Minter.
- How Netflix enforces authorization policies at scale / Manish Mehta.
- How Netflix scales microservices with application data caching / Scott Mansfield.
- How Netlify migrated to Kubernetes, migrated off, and migrated to it again, without anyone noticing / David Calavera.
- How NS1 mastered a DNS server rewrite with no downtime / Shannon Weyrick.
- How NS1 used ELK to improve efficiency with time series / Christian Saide.
- How Panasonic found success implementing multiple AI projects centered around the commercial Internet of Things / Christopher Nguyen.
- How PerceptIn built a four-figure reliable autonomous vehicle / Shaoshan Liu.
- How Phorest managed scalability challenges with a continuous improvement mindset / John Doran.
- How Pinterest used trace data to solve performance challenges / Naoman Abbas.
- How Pirelli built a data science team from scratch / Carlo Torniai.
- How Quantopian rearchitected brittle crontabs into resilient pipelines with Apache Airflow / James Meickle.
- How Reddit mastered managing growth / Greg Taylor.
- How Salesforce keeps an eye on suspicious activity / Masha Sedova.
- How Shutterfly migrated 10+ billion photos to the cloud / Jack Chan.
- How Slack rearchitected its system to achieve zero downtime and improve latency, reliability and availability / Bing Wei.
- How Slack refactored its million-line codebase / Maude Lemaire.
- How Spotify uses machine learning to personalize the user experience / Mounia Lalmas.
- How Square scaled its Cash app using Vitess / Jon Tirsén.
- How Stanford University uses AI and deep learning to make clinical imaging faster and safer / Enhao Gong.
- How Stitch Fix uses human-in-the-loop machine learning for personalization / Eric Colson.
- How Sundhed.dk migrated from monolith to GDPR-compliant microservices / Tobias Uldall-Espersen.
- How TapRecruit is using data Science techniques for better hiring outcomes / Maryam Jahanshahi.
- How The Alan Turing Institute and HSBC fostered innovation and talent development / Christine Foster.
- How the Financial Times validates the security and compliance of its cloud-based architecture / Jermila Dhas.
- How The Home Depot develops software with OpenSource / Cade Thacker.
- How the NSA uses Open source / Jacob DePriest.
- How the Royal Bank of Scotland looked at the feasibility of implementing AI to fight financial crimes / Martin Goodson.
- How the Wall Street Journal uses Machine Learning to predict lead conversions / Chris Boyd.
- How the Washington Post uses machine learning to predict article popularity / Eui-Hong Han.
- How Thomson Reuters is using AI in quantitative finance applications / Joe Rothermich.
- How Ticketmaster transitioned to DevOps hybrid cloud / Heather Osborn.
- How Timehop scaled from 1M to 13M users in 9 months / Benny Wong.
- How Uber used natural language processing and deep learning to improve customer service satisfaction / Piero Molino.
- How Uber uses machine learning and deep learning to forecast business / Andrea Pasqua.
- How USA TODAY NETWORK eliminated technical silos with DevOps / Bridget Lane.
- How Verint is designing AI strategies and utilizing data for increased ROI / Joe Dumoulin.
- How Vox optimized their web performance from the ground up / Ian Carrico.
- How Wells Fargo uses AI and natural language processing in chatbots to interact with customers / Brian Pearce.
- How Zocdoc uses machine learning to direct healthcare services / Brian d’Alessandro.
If that isn’t inspiring enough, try these:
- Wild Yeast / Mouni Abdelli.
- Women of Color in Tech / Susanne Tedrick.
- You’ve Got This! / Margie Warrell.
- The Self-Care Handbook / Gill Hasson.
- The Type Project Book: Typographic projects to sharpen your creative skills & diversify your portfolio / Hugh D’andrade.
All O’Reilly titles have unlimited access for the USF community. For technical assistance in reading eBooks, read our guide Using Ebooks.