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Apache Spark review
Sachin Shukre
Sr Manager at a transportation company with 10,001+ employees
Offers real-time and near-real-time data processing
Apart from the restrictions that come with its in-memory implementation. It has been improved significantly up to version 3.0, which is currently in use. Once I get those insights, I can let you know if the restrictions have been overcome. For example, there is an issue with heap memory getting full in version 1.6. There are other...
Apache Spark review
Ilya Afanasyev
Senior Software Development Engineer at Yahoo!
Reliable, able to expand, and handle large amounts of data well
We use batch processing. It works well with our formats and file versions. There's a lot of functionality. In our pipeline each hour, we make a copy of data from MongoDB, of the changes from MongoDB to some specific file. Each time pipeline copied all of the data, it would do it each time without changes to all of the tables. Tables have a...
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