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Big Data Analytics in eLearning: Aspects Everyone Should Know

Smart Data Collective

Big data is large chunks of information that cannot be dealt with by traditional data processing software. Big data analytics is finding applications in eLearning. By analyzing big data, Edutech businesses discover interesting ways to revolutionize learning as we know it.

Big Data 117
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Email Marketers Use Data Analytics for Optimal Customer Segmentation

Smart Data Collective

Email marketing is the most acceptable way to give precise customer data, but you must guarantee your efforts aren’t wasted. Using data analytics help your email marketing strategies succeed. Data Analytics’ Importance in Email Marketing. Types of data analytics. Segmentation.

Marketing 117
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Automate deployment and version updates for Amazon Kinesis Data Analytics applications with AWS CodePipeline

AWS Big Data

Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Apache Flink is a popular open-source framework and distributed processing engine for stateful computations over unbounded and bounded data streams. The following diagram illustrates this workflow.

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Snowflake : Executive's Guide to Alternative Data Analytics

Corinium

Identifying and acquiring data sets is only the beginning of an investment firm’s data strategy. The key will be the ability to integrate a broad range of custom data sets, to share them flexibly, and to extract key insights in time. Why alternative data is best at rest, thanks to modern data sharing.

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The Practical Guide to Using a Semantic Layer for Data & Analytics

Download this guide for practical advice on how to use a semantic layer to unlock data for AI & BI at scale. You’ll learn how a semantic layer delivers massive ROI with streamlined query performance, concurrency, cost management, and ease of use.

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Advances in Data Analytics Key to Business Website Optimization

Smart Data Collective

Data analytics technology has had a profound effect on the nature of customer engagement. Analytics is especially important for companies trying to optimize their online presence. The expectations are higher than ever, so brands need to invest in data analytics tools to ensure a great online user experience.

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6 Tips for Using Data Analytics for Product Page SEO

Smart Data Collective

Data analytics technology is becoming more important for marketing than ever before. Companies are projected to spend over $27 billion on marketing analytics by 2031. One of the many ways that marketers are leveraging data analytics is SEO. This data-driven approach will help you boost your conversions.

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How to Use a Semantic Layer to Scale Data & Analytics Across Your Organization

Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.