Etl tool, kettle implementation loop, etl Tool kettle implementation
Kettle is an open-source ETL Tool written in java. It can be run on Windows, Linux, and Unix. It does not need to be installed green, and data extraction is eff
The main indexes of this series of articles are as follows:
I. ETL Tool kettle Application Analysis Series I [Kettle Introduction]
Ii. ETL Tool kettle Practical Application Analysis Series 2 [application scenarios and demo downloads]
ETL (extract-transform-load abbreviation, that is, data extraction, transformation, loading process), for enterprise or industry applications, we often encounter a variety of data processing, conversion, migration, so understand and master the use of an ETL tool, essential, Here I introduce a I used in the work of 3 years of
enabling big data processing in a common ETL environment.
It is also important to add that Oracle's latest data Integrator Enterprise Big options expands the gap with competitors, and Oracle is the only vendor that can automatically generate spark, Hive, and pig scripts using a single mapping. Oracle's customers can focus on building the right data processing architecture to increase business value wi
common ETL environment.
It is also important to add that Oracle's latest data Integrator Enterprise Big options expands the gap with competitors, and Oracle is the only vendor that can automatically generate spark, Hive, and pig scripts using a single mapping. Oracle's customers can focus on building the right data processing architecture to increase business value without having to be a multi-lingual
1, Ali Open source software: datax
Datax is a heterogeneous data source offline Synchronization tool that is dedicated to achieving stable and efficient data synchronization between heterogeneous data sources including relational databases (MySQL, Oracle, etc.), HDFS, Hive, ODPS, HBase, FTP, and more. (Excerpt from Wikipedia)
2. Apache Open source software: Sqoop
Sqoop (pronunciation: skup) is an open source tool
Label:The first knowledge Talend, the feeling function is very powerful, can synchronize many kinds of databases, simultaneously can clean, the filter, the Java Code processing data, the data import and export.Talend is an open source software for ETL (data extraction extract, transfer transform, load load) for the data integration tools market. Talend provides a new vision for ETL services with its dual mo
Kettle is an open-source ETL Tool written in Java. It can be run on Windows, Linux, and Unix. It does not need to be installed green, and data extraction is efficient and stable.
Business Model: there is a large table in a relational database, which is designed as a parity database storage. Each database has 100 identical tables, each table stores 1000 million data records, and the fields are switched to t
Different map service platforms have diverse requirements on map file formats, and files used by ArcGIS are difficult to be used on other platforms, therefore, a format conversion service is required to overcome the trouble of using different platforms. The following uses the conversion from TIFF format to geotiff format as an example.First, you need to prepare several items:1. Make sure that ArcGIS data interoperability for desktop is installed.2. Check data interoperability in the extended mod
ETL Tool Pentaho Kettle's transformation and job integration
Kettle is an open-source etl Tool written in pure java. It extracts data efficiently and stably (data migration tool ). Kettle has two types of script files: transformation and job. tran
, kettle for the log processing has a bug, the day more than 49M (not 50M, nor 49M), kettle will automatically stop, This point I did not find in the source of the corresponding settings and constraints, the reason is still not found, because the log did not write, so the reason is not good tracking also do not know the specific reasons.the efficiency of 6,kettle is improved. Kettle as an ETL tool, certainl
"Table Type" and "file or directory" two rows Figure 3: When you click Add, the table of contents will appear in the "Selected files" Figure 4: My data is in Sheet1, so Sheet1 is selected into the list Figure 5: Open the Fields tab, click "Get fields from header data", and note the correctness of the Time field format 3. Set "table output" related parameters1), double-click the "a" workspace (I'll "convert 1" to save the "table output" icon in "a") to open the Settings window. Figure 6:
Original link: http://blog.csdn.net/book_mmicky/article/details/25714545As the application of spark becomes more widespread, the need for support for multi-Explorer application deployment Tools is becoming increasingly urgent. Spark1.0.0, the problem has been gradually improved. Starting with S-park1.0.0, Spark provides an easy-to-Start Application Deployment Tool
SBT is updated
target– the directory where the final generated files are stored (for example, generated thrift code, class file, jar file)
3) Write BUILD.SBTName: = "Spark Sample"Version: = "1.0"Scalaversion: = "2.10.3"Librarydependencies + = "Org.apache.spark" percent "Spark-core"% "1.1.1"It is important to note that the version used, the version of Scala and spark
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