What is product intelligence? Your guide to a product intelligence platform

What product attributes make an offering more attractive to potential customers, and which features will make them stick around? What user-level insights can enable your marketing team to deploy more targeted customer campaigns? Which potential new product features should be prioritized to drive the most revenue? Product intelligence is the key to answering these and many other business-critical questions.
 

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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 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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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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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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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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Big Data Analysis with Spark

Save time by using prebuilt Talend components to process and cache data, and access various sources such as NoSQL HBase, Hive, and RDMS tables in a Big Data Spark batch Job.

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APIs for Dummies

This on-demand webinar presents the basics to get started with Talend’s Cloud API Services platform.

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