The Morning Paper
DECEMBER 13, 2020
An overview of end-to-end entity resolution for big data , Christophides et al., It’s an important part of many modern data workflows, and an area I’ve been wrestling with in one of my own projects. Therefore we only have to do more detailed comparisons within blocks, but not across blocks. “ ACM Computing Surveys, Dec.
The Morning Paper
SEPTEMBER 8, 2019
Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., Microsoft’s big data clusters have 10s of thousands of machines, and are used by thousands of users to run some pretty complex queries. Individual samplers need to be built to be high throughput and memory efficient.
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Percona
JANUARY 19, 2023
For instance, in Percona Managed Services , we have many clients with TBs worth of data that are well performant. In this blog post, we will review key topics to consider for managing large datasets more efficiently in MySQL. InnoDB will sort the data in primary key order, and that will serve to reference actual data pages on disk.
Scalegrid
MARCH 28, 2024
In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.
Testsigma
MAY 26, 2021
The driver script will read the data from the ‘flight’ and ‘passenger’ arrays and the logic of flight booking will be executed. Finally, the test results are generated based on the comparison of actual results and expected results. Opt for quick and efficient data-driven testing with Testsigma. Sign up Now. Conclusion.
Highly Scalable
JUNE 5, 2012
SSE instruction set allow one to do a pairwise comparison of two segments of four 32-bit integers each using one instruction ( _mm_cmpeq intrinsic) that produces a bit mask that highlights positions of equal elements. When this short mask of common elements is obtained, we have to efficiently copy out common elements. return count; }.
The Netflix TechBlog
FEBRUARY 16, 2021
Operational Efficiency: The majority of the changes require metadata configuration files and library code changes, usually taking days of testing and service release to adopt the updates. In comparison, the API interface for consumer services should be consistent and static regardless of the business requirement iteration. What’s Next?
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