Full Resource Library

Cloud Integration 101

Cloud integration lets businesses connect data hosted on local servers to cloud-native data stores and applications. Cloud integration also provides a path to data analytics platforms, CRM systems, and other applications hosted by third-party providers. These include data warehouses such as Google BigQuery, Snowflake, Salesforce, AWS, and Microsoft Azure. 

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Data Lake vs Data Warehouse

Data lakes and data warehouses are both widely used for storing big data, but they are not interchangeable terms. A data lake is a vast pool of raw data, the purpose for which is not yet defined. A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose.

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What is a Data Mart?

A data mart is a subject-oriented database that meets the demands of a specific group of users. Data marts accelerate business processes by allowing access to information in a data warehouse or operational data store within days as opposed to months or longer.

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What is Data Preparation?

Data preparation is the process of cleaning and transforming raw data prior to processing and analysis. It is a time consuming process, but the business intelligence benefits demand it. And today, savvy self-service data preparation tools are making it easier and more efficient than ever.

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What is Data Processing?

Data processing converts data in its raw form to a more readable format, to be interpreted by computers and utilized by employees throughout an organization.

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Creating Cluster Connection Metadata from Configuration Files

In this tutorial, create Hadoop Cluster metadata by importing the configuration from the Hadoop configuration files.
This tutorial uses Talend Data Fabric Studio version 6 and a Hadoop cluster: Cloudera CDH version 5.4.
1. Create a new Hadoop cluster metadata definition
Ensure that the Integration perspective is selected.
In the Project Repository, expand Metadata, right-click Hadoop Cluster, and click Create Hadoop Cluster to open the wizard.
In the Name field of the Hadoop Cluster Connection wizard, type MyHadoopCluster_files. In the Purpose field, type Cluster connection metadata, in the Description field, type Metadata to connect to a Cloudera CDH 5.4 cluster, and click Next.

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Configuring Joins in tMap

Learn how to configure the join outputs in a tMap component. This free video tutorial will walk you, step-by-step, through the process. Text instructions are available on-page or in a downloadable PDF.

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Filtering Data Using the tMap Component

Discover the tMap component and its interface, and learn how to use it to filter columns from a schema. This free video tutorial will walk you through three simple steps, with on-page instructions. Or you can download a PDF of the instructions to take with you.

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Creating and Using Metadata

Discover how metadata can help save a lot of development time, and learn how to create and use them. This free video tutorial will walk you through 5 simple steps, and the on-page instructions are also available as a PDF.

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Sorting a File

Learn how to use a processing component and learn how to sort data from a file. The video tutorial will walk you through 5 basic steps, with instructions on-page. Then, you can download a PDF version of the instructions to take with you!

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Running a Job on YARN

In this tutorial, create a Big Data batch Job running on YARN, read data from HDFS, sort them and display them in the Console.

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Reading a File

Learn how to read data from a simple delimited file. The video tutorial will walk you through the process, with on-page instructions. Download a PDF version of the instructions to take with you.

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Running a Job on Spark

Learn how to create a Big Data batch Job using the Spark framework, read data from HDFS, sort them and display them in the Console.

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Discovering Talend Studio

Discover Talend Studio and its interface, and create a project and a simple demo Job. The video tutorial will walk you through the process with on-page instructions, and a PDF version to download and take with you!

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