A stream processor for mundane tasks written in Go
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Updated
Oct 12, 2020 - Go
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A stream processor for mundane tasks written in Go
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
A Python stream processing engine modeled after Yahoo! Pipes
Data processing & ETL framework for Ruby
Sync data between persistence engines, like ETL only not stodgy
Pandas on AWS
Actively curated list of awesome BI tools. PRs welcome!
问题描述:关于工程中某个工作流节点单独执行不报错,保存工作流时提示:NotClassDefFoundError:Cloud not initialize class dispatch.Http$
问题原因:linkis-publish微服务关于netty-3.6.2.Final.jar升级包缺失
问题解决:将升级包上传重启linkis-publish微服务即可。
The functions in this file should be factored out to a separate utility lib as they are reused in bitcoin-etl https://github.com/blockchain-etl/ethereum-etl/blob/develop/ethereumetl/misc_utils.py
We need a new endpoint that functions as getIntegrationById endpoint.
We currently fetching all integration via appsync (or more specifically a sub-category of integrations based on integrationType) and iterate until we find one that matches the integrationId passed.
Although, we
a go daemon that syncs MongoDB to Elasticsearch in realtime
React components to build CSV files on the fly basing on Array/literal object of data
This repository is a getting started guide to Singer.
Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.
if they are not class methods then the method would be invoked for every test and a session would be created for each of those tests.
`class PySparkTest(unittest.TestCase):
@classmethod
def suppress_py4j_logging(cls):
logger = logging.getLogger('py4j')
logger.setLevel(logging.WARN)
@classmethod
def create_testing_pyspark_session(cls):
return Sp
A hackable data integration & analysis tool to enable non technical users to edit data processing jobs and visualise data on demand.
SmartCode = IDataSource -> IBuildTask -> IOutput => Build Everything!!!
Extract, Transform, Load: Any SQL Database in 4 lines of Code.
Logical Replication extension for PostgreSQL 13, 12, 11, 10, 9.6, 9.5, 9.4 (Postgres), providing much faster replication than Slony, Bucardo or Londiste, as well as cross-version upgrades.
Go stream processing library
The premier open source Data Quality solution
Power of appbase.io via CLI, with nifty imports from your favorite data sources
Cascading is a feature rich API for defining and executing complex and fault tolerant data processing workflows on various cluster computing platforms. Please see https://github.com/cwensel/cascading for access to all WIP branches.
基于web版kettle开发的一套分布式综合调度,管理,ETL开发的用户专业版B/S架构工具
WeDataSphere is a financial level one-stop open-source suitcase for big data platforms. Currently the source code of Scriptis and Linkis has already been released to the open-source community. WeDataSphere, Big Data Made Easy!
currently Metorikku is using a simple YAML config file as input.
we need to be able to override this configuration using CLI params
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I'm trying to use the 'LINQ to DB' driver for the first time. My connection string is:
Provider=Microsoft.ACE.OLEDB.16.0;Data Source=<<Path to mdb>>;User Id=Admin;Password=;I'm using this same connection string with 'OleDbConnection()' from a c# console app without any problem.
The