A curated list of links to sources of latest updates in data/ml/ai
- Radio DaTa - conversations with invited guests how data, cloud, analytics, and AI/ML/BI are used in their companies and general data-related eposodes by different hosts from GetInData
- Data Engineering Podcast - interviews with creators of data products and companies using these, sometimes panel discussions, hosted by Tobias Macey, 2 episodes per week
- Kubernetes Podcast - news from k8s world, followed by interviews with experts from the field
- Stack Overflow Podcast - trening topics from IT world, including a lot of updates on AI
- The Artificial Intelligence After Work Podcast - a live streamed long format conversation aiming to demystify data innovation and AI with invited guests from various companies
- Data Sceptic - everything around the data, ml, de, se.
- DATA Pill - blogposts, youtube videos and podcasts episodes on cloud, data and ml, carefully curated by GetInData
- The Overflow - stackoverflow blog, stackexchange questions (not only IT!) and interesting links from the web
- Hackster - electronics and IoT oriented, with a bit of AI and ML-on-edge
- Sentdex Evrything around Python
- TheSeattleDataGuy Data engineering
- AdamMarczak Azure
- MartinKleppmann Great source of distributed systems, it's worth to find any talk given by him.
- TechWorldwithNana Everything about technologies
- EngineerMan Everything about tech, hands on code examples. Interesting use cases.
- thenewboston Around many technologies, frameworks and languages.
- ACloudGuru - Cloud, K8s, Linux. Sandbox environments is a plus.
- Designing Data intensive applications - Great source of internals of distributed systems. Written By Martin Kleppmann, also reccomend his. Transactions, replicas, partitioning, data streaming and more interesting topics.
- Data management At Scale - Good book about managing data in organization, small references about Data Mesh paradigm and avoding Data silos.
- Streaming systems - Created by Tyler Akidau, PMC member of Apache Beam project, one of the must read books for stream processing people.
- Stream processing with apache Flink - Created by coauthors of Apache Flink, Flink APIs maybe are a little bit stale but still worth to read about stream processing (great intro) and also Apache Flink internals.
- Learning Spark 2nd edition - Great book to read more about Apache spark
- Apache Kafka the definitive guide You can get the book for free, it's everything about Apache Kafka
- Building Event-Driven Microservices: Leveraging Organizational Data at Scale. Great book about creating event driven applications/microservices.
- Data Mesh - Book written by author of Data Mesh paradigm.
- Foundations of Scalable Systems: Designing Distributed Architectures It's on my list to read
- Cloud Native DevOps with Kubernetes: Building, Deploying, and Scaling Modern Applications in the Cloud Great book about k8s to understand core concepts.
List of People to follow recommended by Benjamin Rogojan, original link https://www.linkedin.com/feed/update/urn:li:activity:6979169467838652416?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A%28V2%2Curn%3Ali%3Aactivity%3A6979169467838652416%29
- Chip Huyen Machine learning, data and AI.
- Vicki Boykis Data engineering and cloud.
- Ananth P Data engineering.
- Chris Riccomini Data engineering.
- Christophe Blefari Updates arround the data engineering area.
- Alexey Grigorev Everything around data space, you can subscribe on newsletter.
- Chad Sanderson Brandly new, data modelling, data quality etc. You can subscribe to newsletter.
- Benn Stancil Data engineering and data area, you can subscribe to newsletter.
- Barr Moses Data stuff, data lineage, data quality, data as a product etc.
- Daniel Beach Data engineering stuff but broadly, even geospatial is included.
- Joseph M Data engineering but mainly explaining concepts, good starting point.
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