Athena uses a distributed SQL engine, Trino, to run queries on objects stored in S3, represented as Hive tables. After setting up a table, you can use Athena to query your S3 objects. You can process multiple S3 objects in a single query or even use join operations and window func...
There are two ways to add data to a table in Hive: Insert data directly into the table using a query. Load data from an external file. The sections below outline both methods. Option 1: Insert Data Use theINSERT INTOstatement to add data to a table. The syntax is: INSERT INTO [table...
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Third, the timeliness of data. Data lakes are not easy to integrate large amounts of data. Since the data lake is mostly managed based on Hive, and its underlying HDFS storage does not support modification, the data only supports additional mode for integration. The data changes of the busin...
Among these services, AWS Glue has been gaining popularity for its ability to simplify time-consuming data preparation tasks, effectively enabling data professionals to focus more on data analysis rather than data plumbing. What is AWS Glue? Fundamentally, AWS Glue is a fully managed extract, ...
Hash rules work effectively in a static environment. If the software in your clients is upgraded frequently, hash rules can become difficult to manage. Whenever a program executable is updated, the hash rule needs to be updated to support the new executable version....
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InfluxDB-sink: The indicator identifier (configuration item ①) is used as the table name of the time series database, and the aggregation results are persisted for API data query and visual report display. 6 reporter In order to monitor the operation of various data sources and aggregated ind...
we conducted an in-depth benchmark study using real production workflows. The study aimed to assess EMR Serverless performance and efficiency while also creating an adoption plan for large-scale implementation. The findings were highly encouraging, showing...
adaptations on all public clouds. In Parquet-based query analysis scenarios, it can effectively reduce latency and read amplification for random reads, achieving performance close to that of HDFS. In our test scenario, we saw a 38% performance improvement using JuiceFS compared to direct object ...