DEV.to VS Apache Spark
Compare DEV.to VS Apache Spark and see what are their differences
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DEV.to
WordPress
Medium
Hashnode
Ghost
Drupal
GitHub
Stack Overflow
Apache Spark
Apache Flink
Hadoop
Apache Kafka
Apache Hive
Apache Storm
Splunk
Apache Airflow
DEV.to Apache SparkAs a mini-blog, it is a nice alternative for Medium to publish and share information about programming.
However, the community and the organization are biased toward social justice (and they are open to it). You can read its Code of Conduct, it is so vague and politically leads (I prefer a term of service because it defines fair rules for everybody). So it alienates developers that we don't care about politics in pro of people that want to talk about any other topic such as sexuality, how women are unprivileged, and such. It even mandates to use inclusive language. Good grief.
My main complaint is the quality of the community. It is not StackOverflow (so we don't want to ask for an answer here), and most of the top topics are clickbait, such as "how to become a rockstar developer in ... days", "100 tips to become a better programmer" (and it doesn't even talk about programming).
Technically this "mini blog" site allows us to use markdown, and it is okay. However, the whole experience is really basic. Even the template is ugly.
Based on our record, DEV.to should be more popular than Apache Spark. It has been mentiond 649 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.
Python -m pip install unlimited-search Unlimited-search read https://dev.to --max-content-chars 1500. - Source: dev.to / 4 days ago
While developing Wasp, a JS full-stack framework, we keep researching other ecosystems (Rails, Laravel, Django, etc.) and finding ways how they figured out developer productivity. We kept finding these reusable legos, so we gave them a name: "full-stack modules". Let's define what we mean by that exactly. - Source: dev.to / 12 days ago
If you want to see where your site sits in this distribution, run an audit โ it takes about 12 seconds. - Source: dev.to / 16 days ago
Getting a first thing online is a milestone worth not reaching alone. A MLH hackathon is the perfect place to try: build, break, and deploy alongside other people over a weekend. And DEV is always here for the other parts, open all the time, where a new coder can post the project, ask for feedback, and read how someone else cleared the same hurdle. - Source: dev.to / 17 days ago
Same idea. Four rewrites. Four character budgets. Four hashtag policies. Four mental models of an algorithm I do not control and cannot see. And that is before you reach Mastodon, Threads, Reddit, a newsletter, dev.to, and whatever launched this quarter. - Source: dev.to / 19 days ago
Feature transformations should be deterministic: The same input should produce the same output when the same feature definition and configuration are applied. This is what allows training, backtesting, and live inference to remain aligned. Tools such as Pandas, Spark, or feature platforms such as Feast can be used to implement that logic. - Source: dev.to / about 1 month ago
Apache Spark provides distributed in-memory data processing and is the appropriate tool when the data set to be reconciled does not fit in a single machine's memory, or when parallelizing the comparison across a cluster would reduce runtime from hours to minutes. - Source: dev.to / about 2 months ago
When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVMโsuch as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data ecosystem, choosing Java was a natural decision. - Source: dev.to / 3 months ago
For handling even larger datasets or building production applications, Apache Spark provides excellent Parquet support with distributed processing capabilities. - Source: dev.to / 4 months ago
You may want to consider renaming this project. The name "Spark" already refers to: A popular data analytics framework of the Apache Foundation: https://spark.apache.org/ A subset of the Ada programming language used for formal verification: https://learn.adacore.com/courses/intro-to-spark/chapters/01_Overview.html An Nvidia AI development system: https://www.nvidia.com/en-us/products/workstations/dgx-spark/. - Source: Hacker News / 6 months ago
WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Medium - Welcome to Medium, a place to read, write, and interact with the stories that matter most to you.
Hadoop - Open-source software for reliable, scalable, distributed computing
Hashnode - A friendly and inclusive Q&A network for coders
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.