How can data be transferred when migrating a materialized view from Greenplum to ClickHouse?
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What was your role in a team of 4 people, and how do you see your career in 3-4 years, what goals do you set?
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Approximately how many uploads were there — top-level jobs, threads?
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How well do you know Python?
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When there is high memory consumption on CTE, what happens to the data?
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How difficult was it to maintain a large storage of historical data manually in terms of volume and objects?
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We input metadata, and it creates a flow based on this metadata — how will this help quickly migrate existing flows from old systems to the planned one?
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In terms of requests, what happens to data, including what types of joins — what types of joins can we see there?
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What type of read is used in ClickHouse?
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How to load data from Kafka into ClickHouse via streaming for real-time reporting?
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How did you work with analytical functions (window functions)?
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With Kafka, there's nothing difficult, the main thing is to process data — what nuances should be considered?
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In a team of 4 people, was there a leader or someone else led it?
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How can data from Greenplum and Trino be transferred to ClickHouse?
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Was the data warehouse built according to the Data Vault scheme — did you also develop and support it? Did you add hubs and links manually?
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Do you already have any job proposals?
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You work with Data Science and big data processing — is there a replacement in this library written in Rust, multithreaded, unlike Pandas, very fast. Do you know such?
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Is Greenplum more related to OLTP or OLAP?
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Is ACID maintained in Greenplum?
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How does CTE differ from a subquery?
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