etl vs elt

decision-makers should be able to manipulate the data of the enterprise flexibly, observe the state of the enterprise from many aspects and multi-angle, and understand the change of the enterprise in multi-dimensional form. Using OLAP tools, we can make a connection between the dimension table and the fact table, and then do the aggregation operation to save the cube to achieve the objective of multi-angle analysis.Front-end display tools: Front-End display tool is to assist users to multi-angl

connectors out of the box! One of the major benefits for DataDirect customers are so you can now easily build an ETL pipeline using Kafka leveraging Your datadirect JDBC drivers. Now your can easily connect and get the data from your data sources into Kafka and export the data from there to another DA Ta source. Image from https://kafka.apache.org/Environment Setup Before proceeding any further with this tutorial, make sure so you have installed the

The main indexes of this article series are as follows: First, ETL sharp weapon Kettle Practical Application Analysis Series one "Kettle Use introduction" Second, ETL sharp weapon Kettle Practical Application Analysis Series two "application Scenarios and actual combat demo Download" Three, ETL sharp weapon Kettle Practical Application Analysis Series three "

Ods-bi in the construction of ETL to occupy 1/3 of the time, deep feelings. The modeling of BI, from the physical data layer, the logical data layer, the business logic layer at all levels, there are many automated tools to handle.However, the process in ETL must be designed according to the performance. Summarize the next few parts.1. Data source/Data target managementTo determine the table, file, or restf

The main indexes of this article series are as follows:First, ETL sharp weapon Kettle Practical Application Analysis Series one "Kettle Use introduction"Second, ETL sharp weapon Kettle Practical Application Analysis Series two "application Scenarios and actual combat demo Download"Three, ETL sharp weapon Kettle Practical Application Analysis Series three "

ETL is the abbreviation of "extract", "transform", and "LOAD", that is, "extraction", "Conversion", and "loading ", however, we often call it Data Extraction for short. ETL is the core and soul of Bi/DW (Business Intelligence/data warehouse). It integrates and improves the value of data according to unified rules, it is responsible for the process of converting data from the data source to the target data w

There are four data ETL modes based on the model design and source data: Completely refresh, image increment, event increment, Image Comparison There are four data ETL modes based on the model design and source data: Completely refresh: Only the latest data is included in the data warehouse data table,The original data is deleted for each load, and the latest source data is fully loaded.. In this mode,

ETL 4: SQL server integration services SSIS is Microsoft's upgrade to DTS on SQL server2005. It has to be said that Microsoft has spent a lot of effort on Bi, including providing multiple tools such as SSIs, SSAs, and SSRs, from creating a data warehouse to extracting data from metadata, to creating dimensions and mining structures, mining models, training, report model design, report design, and publishing, It is very convenient and powerful. Start

pushes the data from the data source. If the data source is protected and is forbidden, you can only use the data source to push the data.The following table summarizes the source data tables and their extraction modes used by the dimension and fact tables in this example. Time stamp Mode Snapshot mode Trigger mode Log mode Ability to differentiate inserts/updates Whether Is Is Is Multiple updates detected during

Sqoop, which requires the Sqoop metadata shared storage to be turned on as follows:Sqoop metastore >/tmp/sqoop_metastore.log 2>1 For questions about Oozie not running Sqoop job, refer to the following link: http://www.lamborryan.com/oozie-sqoop-fail/(4) Connecting Metastore rebuilding Sqoop JobThe Sqoop job created earlier, whose metadata is not stored in the share Metastore, needs to be rebuilt using the following command.Sqoop Job--show Myjob_incremental_import | grep incremental.last.valuesq

One of the goals of the data warehouse is the ability to provide timely, consistent, and reliable data for enhanced business functions.In order to achieve the above objectives, ETL must be continuously improved according to the following three standards: Reliability Availability of Ease of management Subsystem 22--Job Schedulersubsystem 23--Backup Systemsubsystem 24--Recovery and restart systemsubsystem 25--version control systemSubsyste

1 Log Table 1.1 ideasA log table is used to record the primary key of a table Yw_tablea the changed data in the Business library. Before the data enters the BI Library target table Bi_tablea, delete is based on the primary key recorded by the log table.1.2 Design 1.2.1 Log table structureCREATE TABLE LOG ( varchar), -- primary key 1 VARCHAR(20 ), - - primary key 2 VARCHAR, - - source table updatedate Date, -- update date loaddate- - Load Date );1.2.2

Tags: commercial int ase NSF process form color number BottomHere are a few words about some of their concepts:(1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the state, will not appear in front of your eyes, this is a db.(2)dw/d

Tags: sel note Select avoid IMG int Data Warehouse Problem toolbarFirst, prefaceThe company practical Hadoop constructs the Data warehouse, during the inevitable practical hivesql, in the ETL process, the speed has become the question which avoids can avoid. I have a few data tables associated with running 1 hours of experience, you may feel indifferent, but many times ETL will be multiple hours, very waste

Tags: Options import profile preparation Query str user Lin marginIntroduction to ETL: ETL (extract-transform-load abbreviation, that is, the process of data extraction, transformation, loading) Database to Database The following explains: Kettle Tool Implementation method Case Purpose : Import the EMP table from user Scott under User testuser. Preparation: first create a new table with the same structure a