ETL vs ELT: Defining the Difference

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.

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YARN in Hadoop

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.

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YARN MapReduce

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.

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Data Warehouse Tools

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.

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Sqoop

Talend, the leading provider of open source data integration solutions, expands the utility of Sqoop by incorporating Sqoop functionality into a unified big data integration solution that's versatile and easy to use.

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Hadoop Hive

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.

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Big Data Integration

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.

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Data Integration

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.

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MapReduce

As a software framework for distributed processing of large data sets on clusters of commodity hardware, MapReduce is essential for achieving the speed, resilience and processing power that big data can deliver.

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Data Lakes: Purposes, Practices, Patterns, and Platforms

TDWI surveyed top data management professionals to discover 12 priorities for a successful data lake implementation. With the right tools, a data lake enables self-service data access and extends programs for data warehousing, analytics, data integration, and more data-driven solutions.

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Hadoop and Data Lakes

How widespread is usage of Hadoop and data lakes? What use cases are having the most impact? What’s holding big data back? Download the new research study from BARC to help plan your big data proof-of-concept or strategic initiative.

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Self-Service Analytics

Organizations today are supercharged by data, but most only analyze a fraction of what they collect. Find out how self-service analytics is building a data-driven culture across a range of companies. 

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