ETLprovides the foundation for successful data analysis and a single source of truth to ensure that all enterprise data is consistent and up to date.ETL为成功的数据分析和单一事实来源提供了基础，以确保所有企业数据一致且最新。What are ETL
1.定义一个etl函数, 里面传入json行数据, 用json.loads加载行数据,并对行数据进行判断,如果没有行数据,或data字段没有在行数据里, 就直接返回空的结果, 否则就继续往下执行 2.接着获取行里的数据, 用for循环判断, 如果包含某个值, 我就将变量赋值取出, 装在集合容器里 3.设置sparksession会话, 并enableHive...
PostgreSQL 支持参考文档 (Support for the PostgreSQL database.):https://docs.sqlalchemy.org/en/13/dialects/postgresql.html#module-sqlalchemy.dialects.postgresql.psycopg2 性能调优 其实就是加个参数好像。 https://www.psycopg.org/docs/extras.html#fast-execution-helpers Modern versions of psycopg2 include...
ETL stands for extract, transform, and load. The term is an acronym for the actions an ETL tool performs on a given set of data in order to accomplish a specific business goal. Extract: The ETL tool takes (literally “extracts”) data directly from wherever it lives. This is the first...
Use multiple servers to support BI such as: a database server, an analysis server and a reporting server Use a server with large main memory (16 GB +) - this increases data caching and reduces physical data access Use a server with multiple processors / cores to enable greater parallelism ...
InfluxDBhas built in support for doing ETL type workloads without needing a separate tool by using Tasks. Tasks will run on data as it is written into an InfluxDB bucket and can then move the transformed data into a new bucket. Tasks are built on top of the open source Kapacitor proje...
Data lakes generally store their data in object storage or Hadoop Distributed File Systems (HDFS), and therefore they can store less-structured data without schema; and they support multiple tools for querying that unstructured data. One additional pattern this allows is extract, load, and ...
Support for change data capture (CDC) (a.k.a. binlog replication):Incremental loading allows you to update your analytics warehouse with new data without doing a full reload of the entire data set. We say more about this in theETL Load section. ...
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Rules that support multiple datasets include ReferentialIntegrity, DatasetMatch, SchemaMatch, RowCountMatch, and AggregateMatch. When you add multiple inputs to the Evaluate Data Quality transform, you need to select your “primary” input. Your primary input is the dataset that you want to ...