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Big data is the catch-all term used to describe gathering, analyzing, and using massive amounts of digital information to improve operations. It is rapidly changing the way we live, shop, and approach daily life. Understand what big data is and how you can put it to work for you.View Now
The difference between ETL and ELT lies in where data is transformed into business intelligence and how much data is retained in working data warehouses. Discover what those differences mean for business intelligence, which approach is best for your organization, and why the cloud is changing everything.View Now
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.
The recent introduction of YARN in Hadoop provides organizations that are managing big data with even greater processing speed and scalability. An acronym for Yet Another Resource Negotiator, YARN in Hadoop solves a bottleneck in the first version of Hadoop MapReduce and reduces the strict dependency of Hadoop environments on MapReduce.View Now
YARN in Hadoop provides a new processing platform for big data that is not constrained to MapReduce. Also known as MapReduce 2.0, YARN decouples the resource management and scheduling capabilities from the data processing component in Hadoop, limiting the dependency of Hadoop environments on the MapReduce program.View Now
Most developers with any experience in YARN for big data are already working for the major players in the space. That means organizations wanting to work with big data must either spend a lot of time and money to train developers, or find solutions that let their existing development staff use the skills they already have to work with YARN and big data. And that's exactly what Talend provides.View Now
The market for data warehouse tools and other integration technologies is shifting in favor of open source solutions. Talend is at the forefront of this movement, providing progressive businesses with open source data warehouse tools that deliver as much or more quality and functionality as proprietary solutions, while having substantially lower total cost of ownership.View Now
Talend, the open source integration company, delivers seamless Hadoop Hive support in Talend Open Studio for Big Data. The first pure open source big data management solution, Talend Open Studio for Big Data makes it easy to work with Hadoop Hive and to integrate Hive into your enterprise data flows.View Now
Big data integration is a key operational challenge for today's enterprise IT departments. Talend, the leading provider of open source data management solutions, helps organizations large and small meet the big data challenge by making big data integration easy, fast, and affordable.View Now
In the past, IT departments tasked with responding to pressing technological challenges such as data integration had to choose between building custom scripts in-house or purchasing proprietary software, often at great expense – initial and ongoing. Now, forward-looking IT groups are increasingly turning to open source solutions for their companies' needs.View Now
Smart cities have the potential to change our lives at so many levels for citizens: less pollution, fewer parking obstacles, better health, education and more energy savings.Watch Now
Watch this on-demand webinar to see how you can deliver on business requirements in weeks instead of months. MapR and Talend can help you conquer your real-time big data architecture at an enterprise scale.Watch Now
Learn how to architect a Customer 360 data lake to break down customer data silos by using an agile, modern integration platform.Watch Now