The Definitive Guide to Cloud Data Warehouses and Cloud Data Lakes
Download the Definitive Guide to learn what you need to look for when starting to create your cloud data warehouse or data lake.
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Big Data in Media and Telco: 6 Applications and Use Cases
Understanding how to apply big data into your media and telecommunications strategy will improve customer engagement and increase revenue
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Data Engineering: A Guide to the Who, What, and How
Learn how data engineering lays the foundation for real-world data science application.
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The Truth About the Enterprise Data Warehouse (EDW)
Learn how the Enterprise Data Warehouse (EDW) allows companies to harness all business data.
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Big Data and Agriculture: A Complete Guide
Learn the ways in which industry leaders are leaning on big data to assist with the growing demand and recent climate concerns in the agriculture industry.
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Data Science vs. Business Intelligence
Learn how data science and business intelligence differ when it comes to the type of analysis performed, scope, data integration, and skill set.
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16 Data Mining Techniques: The Complete List
Learn about the 16 data mining techniques used to turn raw data into actionable insights, and consequently maximize the value of your data investments.
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Data Warehousing + Business Intelligence
Business Intelligence and Data Warehousing have both become established in their own right, critical for any organization to understand and implement. Though they are distinct concepts, their synergy is ultimately where businesses derive the greatest value.
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How Big Data is Changing Healthcare
Big data in healthcare refers to the extremely large sets of healthcare data amassed from a wide variety of sources. When siloed data sets from various sources, different environments, and different formats are integrated and analyzed, this has a profound effect on the healthcare industry.
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How Does Big Data Work for HR Analytics?
Learn how big data helps HR managers make smarter decisions and help an organization meet its goals more efficiently.
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Guide to Machine Learning
This guide will define what machine learning means for commercial use by explaining how to identify the common problems associated with data, how to prepare for a successful machine learning strategy and how exploring machine learning best practices will improve the way your data is processed.
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What is Data Analytics?
Data analysis helps organizations cut costs, increase revenue, and stay competitive by identifying opportunities and critical insights hidden in their data.
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Accelerate and Scale Analytics and Machine Learning with Talend and Qubole
In this on-demand webinar you’ll learn how Talend and Qubole enable companies to reduce the cost of transforming and making data consumable by business users.
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Build a Solid Data Strategy: What You Need To Know
Data drives every aspect, powers decision-making across an enterprise, and can be your most valuable asset. A data strategy is a high-level business-focused plan for all enterprise data, that serves as the foundation of a larger data management strategy.
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Predictive Analytics 101: A Beginner’s Guide
Predictive analytics aggregates and analyzes historical data to anticipate future outcomes. It leverages statistical techniques to uncover patterns in big data.
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What is a Data Pipeline?
The four critical actions that happen within data pipelines are the means to achieving data integration. It begins with raw data to ultimately produce actionable information and insights.
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Modern Data Engineering at Scale in the Cloud with Databricks and Talend
This white paper from Databricks and Talend shows you how to use intelligent and automated cloud tools to scale big data and operationalize machine learning.
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Run Modern Data Engineering at Scale
Watch this on-demand webinar for a technical demonstration of a fraud detection use case.
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Single Source of Truth – What it is and Why You Want it Yesterday
Your data should help you promote collaboration, enhance business performance, and streamline decision-making. If it isn’t, you may need a SSOT.
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An API-First Approach to Modernizing Applications
How well does a cloud data warehouse (CDW) prepare organizations for digital transformation?
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Why Companies Move to the Cloud: 7 Success Stories
This eBook highlights 7 companies and their data to value success stories.
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Best Practices for Building a Cloud Data Lake You Can Trust
Download this eBook to learn more about building a trusted, cloud data lake on AWS to manage quality, track lineage, and extract value from your data.
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Cloud Data Warehouse Trends for 2019
The Cloud Data Trends for 2019 Report will take a close look at industry trends and best practices as well as outline the additional capabilities needed by CDW users.
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5 Data Lakes Best Practices That Actually Work
Now that you’ve decided a data lake is right for you, it’s time to learn the best practices for setting up a data lake for long-term success.
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Cloud Data Lakes
Download the TDWI Insight Accelerator report to learn more about the technical requirements, benefits, emerging trends, and recommendations for deploying a data lake on a cloud platform.
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