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 Netflix TechBlog
MAY 4, 2023
Comparison After normalizing, we diff the responses on the two sides and check whether we have matching or mismatching responses. The batch job creates a high-level summary that captures some key comparison metrics. We use this additional logging to debug and identify the root cause of issues driving the mismatches.
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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. VLDB’19. 8 out of the 22 TPC-H queries cannot be advantaged by sampling.
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. Performance Comparison: Redis vs Memcached Although Redis and Memcached are high-performance in-memory data stores, their performance characteristics are distinct.
Dynatrace
AUGUST 14, 2023
Dynatrace enables organizations to understand user behavior with big data analytics based on gap-free data, eliminating the guesswork involved in understanding the user experience. An advanced analytics solution should include the following capabilities.
Dynatrace
JANUARY 16, 2023
In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch. Kubernetes infrastructure models differ between cloud and on-premises.
Percona
JANUARY 19, 2023
sec) Records: 0 Duplicates: 0 Warnings: 0 mysql> INSERT INTO employees_compressed SELECT * FROM employees; Size comparison: [user1] percona@db1: ~ $ sudo ls -lh /var/lib/mysql/employees/|grep employees -rw-r --. It was developed for optimizing data storage and access for big data sets.
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