Understanding Data Migration: Strategy & Best Practices
Data migration is the process of moving data from one system to another. See why it’s important, get best practices and key steps, and learn how to vet software.
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More Effective DevOps
Our experts walk you through Talend’s continuous integration features, and how to speed up testing and debugging with Talend Cloud.
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Put More Data to Work: Talend Spring ’18
Talend Spring ‘18 gives you the speed and efficiency you need to put more data to work right now.
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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 a Data Warehouse?
A data warehouse is a large collection of business data used to help an organization make decisions. It is the foundational component of business intelligence efforts. Learn how data warehouses work, how they are different from databases or data marts, why they are moving to the cloud, and more.
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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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How to Load Salesforce Data Into Snowflake in Minutes
Follow this step-by-step tutorial to learn how to seamlessly load Salesforce data into Snowflake. Setup a few free, trial accounts, and you can have your Salesforce data extracted, prepared, transformed, loaded, and ready to go much faster than a manual coding process would allow for!
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Faster Big Data Integration – Spring ’18
Talend Spring ’18 helps you to build cloud data warehouses and cloud data lakes more quickly and enable faster big data integration.
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What is Database Integration?
Database integration is the process used to aggregate information from multiple sources and share a current, clean version of it across an organization. It is the operational core of big data. Here’s a look at the process, partners, and tools used in integration.
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The World is Moving to the Cloud: Talend Customers
See how brands and organizations across various industries and niches are moving their data operations to the cloud, and how it is improving their business operations.
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Data Loading
Data loading software has conventionally fallen into two broad categories: narrow, limited-use tools designed specifically for particular loading scenarios; or comprehensive, integrated solutions that couple support for a wide variety of data loading contexts with support for related operations such as data extraction, data conversion, and data cleansing.
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Making Today’s Data Rapidly Consumable
An insightful discussion of the latest trends in data centralisation, data warehousing, and self-service analytics.
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Build a True Data Lake with a Cloud Data Warehouse
This eBook helps you understand the full capacity of what a true data lake can deliver and the four pillars required to support it.
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Turn Big Data into Consumable Data
Join Talend and Snowflake for an insightful discussion of the latest trends in analytics and data warehouse solutions with renowned thought leader Dr. Claudia Imhoff.
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Lessons Learned: Building a Better Data Warehouse
Mark Balkenende, an enterprise data architect with over 20 years’ experience in building data warehouses, shares his lessons learned. Watch this webinar to find out how he built a data warehouse to analyze Salesforce and Marketo data using Redshift and S3.
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Optimize Your Enterprise Data Warehouse with Cloudera and Talend
Watch this video and learn how to optimize your enterprise data warehouse with Cloudera and Talend.
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Migrating to a Cloud Data Warehouse Architecture with AWS Redshift
Business demand for more sophisticated reporting and access to new data sources is putting pressure on the cost and complexity of legacy data warehouses. More and more IT departments are migrating to cloud data warehouses to gain a competitive advantage.
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Why Your Next Data Warehouse Should Be in the Cloud
The Cloud model lowers the barriers to entry—especially cost, complexity, and time-to-value—that have traditionally limited the adoption and successful use of data warehousing technology.
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