Extract, Transform & Load Tool

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Presentation transcript:

Extract, Transform & Load Tool Talend – A Primer Extract, Transform & Load Tool Bob Brennan Integrated Manufacturing Systems, Inc.

Introduction Integrated Manufacturing Systems, Inc. Consumer Product Company Integration 4 Companies under 1 new roof Bottles, Caps/Covers, Product, Filling, Warehousing and Logistics Wamas (Warehouse Management System) by Shaeffer https://youtu.be/0OLOenzgSwQ?t=87 Autefa – Automation https://youtu.be/-Mqtttc6Q5g?t=183

ETL Tools - Original Concepts Extract – Gather Data from various sources Transform - mold and rework data elements Load – Put the data into a container for reporting and analysis Build data warehouses from corporate data for BI analysis Aggregate data into common reporting structures Not Normalized Do the math on the load

ETL Tools Today Expanded role of these tools to include all of the original goals Additions Service Bus Streams Data scrubbing or cleansing Non Structured Outputs Service Oriented Interfaces (REST/JSON, SOAP, CLOUD, Streams)

Partial List of Players Oracle Warehouse Builder (OWB)         SAP Data Services         IBM Infosphere Information Server         SAS Data Management         PowerCenter Informatica         Elixir Repertoire for Data ETL Data Migrator (IBI)         SQL Server Integration Services (SSIS)         Talend Studio for Data Integration         Sagent Data Flow    Syncsort DMX             Actian DataConnect         Open Text Integration Center         Oracle Data Integrator (ODI)         Cognos Data Manager         CloverETL         Centerprise Data Integrator         IBM Infosphere Warehouse Edition         Pentaho Data Integration         Adeptia Integration Server         QlikView Expressor

Talend Versions – Open Source Data Integration – Most of the tools we will discuss Enterprise Service Bus – Active MQ as the Bus and Kafka Streaming Big Data – Hadoop and NoSQL Data Preparation - Desktop Tool Data Quality – Normalizing data like address info, titles Master Data Management – ‘ One view of the truth’ Data Streams – In line Processing

Common Features Eclipse based Interface Shared Resources 800 Shipped in the Box Repositories of customized objects and behaviors Consistency in UI and Processing across all Open Source Products Lots of Community Activity

Swiss Army Knife

Talend Open Studio

Repository All the sources of data All of the Built Out Components Built-In and Custom Objects

Design Workspace Area used to Design and Layout Jobs Graphical Drag and Drop Code Preview Tab

Configuration Configure Components Add Context Configure Jobs Run and debug

Palette Lists Components Available Over 800 come in the box Data Types Systems Actions Controls Interfaces Connections

Business Model Non technical view of a business workflow. Includes the strategic systems or processes already running and new needs. Modeling Large Flows or Use Cases Not something we have leveraged even with the large commercial project

Job A distinct task that starts and stops. This is the key area of focus as you get started. Jobs can be re-used components.

Route A routine that continually processes data when available. When no data is available, it waits. Think ESB. A Job that keeps running in a loop.

Demo Break #1 Scroll the Palette

Component Families Big Data This family provides a wide range of built-in components of Big Data like Cassandra, Google Storage, HBase, HDFS, Hive, Impala, MongoDB, Pig etc. Using these components you can connect to the modules of the Hadoop distribution. They create connections to various 3rd party tools used for transferring, storing or analysing Big Data. Databases This family provides Talend components which cover various needs like opening connections, reading and writing tables, committing transactions, performing rollback for error handling etc. More than 40 RDBMS are supported by Talend some of which are MySQL, MS SQL Server, Hive, Amazon, Azure etc.

Component Families File This family groups together various components which read and write data in all types of files like Delimited, Positional, XML, Excel etc. Moreover, it also provides a number of components which help in performing various tasks like unarchiving, deleting, copying, comparing etc. This family is further divided into subfamilies like Input, Output, and Management. Internet This family includes all of the components that help in accessing information from the Internet, through various means like Web services, RSS flows, SCP, MOM, Emails, FTP etc.

Component Families Logs & Errors This family, groups together all the components which are dedicated to catch log information and handle Job errors. Misc This family gathers different miscellaneous components covering various needs like the creation of sets of dummy data rows, buffering data, loading context variables etc. Orchestration This family includes various components which help to sequence or orchestrate tasks and processing Jobs or SubJobs etc.

Open Edge Integration Need to use JDBC to connect to OE From 10.2 + the whole of the JDBC driver is found in OPENEDGE.JAR Prior to 10.2 you need to reference

JDBC Connection To Open Edge

Syntax for JDBC Connection "jdbc:datadirect:openedge://<server>:<port>;databaseName=<db>“ Where: <server> can be name or IP Address of the server <port> is the number you used to create the ODBC Broker <db> Is the name of the database

Demo #1 Read an Excel File as Input Output as a delimited file using “{“ as delimiter.

Demo #2 Connect to an Open Edge Database via JDBC Read a complex SQL query Do in line data changes Map Data to a specific Output Write it out as XML

Demo #3 Connect to an Open Edge Database via JDBC Read a complex SQL query Do in line data changes Map Data to a specific Output Write it out as CSV File (Not Normalized – Feed New Business App)

Take Aways www.talend.com Use JDBC to connect to an OE Database Data Source Agnostic 800 Components Shipped in the Box

Commercial versus Open Source Training and Professional Services Mapping Tools Synchronization Tools Deployment Tools

Bob Brennan bbrennan@integratedmfg.com Integrated Manufacturing System, Inc.