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LinkedIn Learning
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Apache Flink
Apache Spark
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Spring Framework
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Apache FlinkNo features have been listed yet.
Based on our record, Udemy should be more popular than Apache Flink. It has been mentiond 260 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
CS is computer science. Also check out edx.com It is hosted by Harvard and if you pay for the course which is very little you get a certificate from them. There is also groupings of courses were you can get a business certificate. Also check out udemy.com. Wait for the specials for $10-15. I have heard that google has certificates that are free but that businesses except. Just try stuff and even look at skills... Source: 11 months ago
Core coding and IT skills are a must though. Pick a language you followed and liked at Uni, check there is decent job demand for it, and do a udemy.com course on it (great value, great content, very cheap). Pair this with a major cloud (Azure or AWS) qualification which is pretty much a must these days, and you're much more attractive as an applicant. Source: 11 months ago
Prompting is so new I don't think a degree is offered yet, but Microsoft has some accredited classes (FREE) - https://learn.microsoft.com/en-us/training/ and you can get a certificate on AI and chatGPT from https://udemy.com , I got a few from them :). Source: 12 months ago
I am studying Salesforce administrator fundamentals at udemy.com. I am taking this course where the instructor provides a checklist of all the topics/subjects you will see in the test. For example, according to the instructor, who passed his administrator certification on his first try, teach the specific concepts you will see in the test. I think that there are 133 features/concepts. So, the first video is about... Source: 12 months ago
If you're prepared to do self-study, take a look at the udemy.com learning site. I paid somewhere in the region of £15 (they retail for around £60-70 in general but always come on sale at some point) for a number of courses (incl. languages). The courses are rated by students and I haven't yet been let down. Source: almost 1 year ago
Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 4 days ago
I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / 24 days ago
You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 1 month ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 2 months ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
Coursera - Build skills with courses, certificates, and degrees online from world-class universities and companies
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Codecademy - Learn the technical skills you need for the job you want. As leaders in online education and learning to code, we’ve taught over 45 million people using a tested curriculum and an interactive learning environment.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
LinkedIn Learning - Online training through LinkedIn's professional network.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.