Real-time Risk Assessment Engine POC
Using Web APIs and machine learning, this job will use a decision tree model to determine, at login, whether to display a specific credit offer, or no offer at all.
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Scale Data Access with Data Masking
Learn how to use masking, shuffling, and encryption to meet the latest data privacy regulations and prevent unauthorized access to sensitive data.
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Choosing the Right Data Quality Tools
This guide reviews the 3 key capabilities to look for in a data quality tool so you can manage complexity and engage the right people in the data quality process.
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How to Manage Modern Data Quality
This guide shows you how to embed real-time data quality in business processes and applications so you can rein in the cost of bad data.
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[Video] How to Load Salesforce Data Into Snowflake in Minutes
Use Talend Cloud to move data from an operational system such as Salesforce.com to a short-term, scalable cloud storage solution for on-demand analytics.
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Data Quality: An Enterprise Necessity
This guide helps you define the problem and start to solve it. What is data quality? Why does it matter? What impact could it have on your organization?
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The Definitive Guide to Data Quality
This Definitive Guide to Data Quality outlines how your organization can ensure good quality data for correct, actionable business intelligence.
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GDPR: A quick way to reduce scope
This webinar shows you how to anonymize data from any pipeline or dataset, on the cloud or on premises. Whether you are a business user or an IT specialist, you can use Talend to protect personal data from unauthorized access.
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What is Business Intelligence (BI)?
Business intelligence (BI) is the processes, technologies, skills, and applications used to make informed, data-driven business decisions. It includes data collection, data aggregation, analysis, and meaningful presentation that facilitates decision-making.
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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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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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Better Data Quality for All
Find out how easy it can be to master data quality across your data infrastructure with the right self-service tools and automated processes.
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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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Defining Big Data Analytics for the Cloud
Big data analytics is the process of translating massive amounts of digital information into useful business intelligence. Utilizing this data, companies can provide actionable information that can be used in real-time to improve business operations, optimize applications for the cloud, and more.
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[Demo] Clean and Actionable Data Is Just One-Click Away
Tired of tearing your hair out to get data from here to there? What if there was a magic wand that reduced the time for cleaning and formatting your data from hours to minutes?
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Trusted Data for Everyone
Now that your data lake is full, it’s time to make the data consumable across your organization. That means knowing where the data came from, how it was cleansed and transformed, and who handled it.
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New for Fall ’17: Data Preparation Cloud
In January, we helped you transform your data lake. Then we brought you big data integration on any cloud. It’s time for the next step: always on self-service for anyone, any data, anywhere.
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5 Pillars for GDPR Compliance
GDPR has major implications for the IT landscape of every business. Companies are shifting away from data silos and closing down shadow IT to create a governed personal data hub and data services.
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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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How Johnson Controls, Astrazeneca, and Others Enable Governed Self-Service Data with Talend
Learn how Johnson Controls, Astrazeneca, and others enable governed self-service data with Talend.
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Enabling IT-business Collaboration: What is Self-service and Why Every IT Department Should Adopt It
Talend’s new governed self-service apps address these challenges by combining intuitive self-service data preparation and enterprise-class data integration to transform how IT, data analysts, and business users can collaborate to turn big data into insights.
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How to Achieve Perfect and Compliant Data
This 10-minute video shows you how marketing can work with IT to become GDPR compliant for your next campaign.
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Talend Self-Service Governance
Talend’s new governed self-service apps address these challenges by combining intuitive self-service data preparation, data stewardship and enterprise-class data integration.
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A 16 Step Data Governance Plan for GDPR Compliance
Whether personal data comes from an online form, a business partner, an internal CRM or HR system, or your data lake, if it concerns an EU resident, it falls under GDPR. This white paper by data governance expert Sunil Soares provides a practical approach for compliance.
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