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Big Data Analytics in eLearning: Aspects Everyone Should Know

Smart Data Collective

Big data analytics is finding applications in eLearning. By analyzing big data, Edutech businesses discover interesting ways to revolutionize learning as we know it. Year after year, the volume of data in eLearning (and the need to analyze it) increases. The big data market is projected to reach $325 billion by 2025.

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Real-time time series anomaly detection for streaming applications on Amazon Kinesis Data Analytics

AWS Big Data

2022 , with Apache Flink, and provide a working example that will help you get started on a managed Apache Flink solution using Amazon Kinesis Data Analytics. It supports ingestion, manipulation, and delivery of data to the desired destinations. A Flink program can be implemented in Java, Scala, or Python.

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Big Data Is Shaping These Huge Digital Marketing Trends In 2020

Smart Data Collective

Big data is playing a huge role in the digital marketing profession in 2020. Digital marketing trends (like omnichannel marketing, AI, VSEO) that were once seemed outlandish to the average business owner are now essential to their success in 2020. You cannot avoid personalization in 2020 if you want to entice your customers.

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Utilizing Data Analytics To Create Seamless Web Dashboards

Smart Data Collective

Big data and web dashboards go hand in hand. Big Data is Critical to Developing Web Dashboards. In 2020, there are hardly any apps that do not come with a dashboard. You need to know how data analytics will be integrated into it. Instead, they can simply look at graphs, charts, or any other visual representation.

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Democratizing Data Through Search and Natural Language Processing in Cloudera Data Visualization

Cloudera

Since the release of Cloudera Data Visualization (DV) back in Oct 2020 , our primary mission has been to expand access to data analytics and predictive insights across enterprise businesses. Even the underlying rows for a specific segment of the visualization can be examined through the context menu.

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The New Normal for FP&A: Data Analytics

Jedox

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new. Inability to get data quickly.

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Ontotext’s Top 5 Most Popular Blog Posts for 2020

Ontotext

In 2020, we continued to develop our leading database engine for management of knowledge graphs, GraphDB , and expanded it with a lot of new functionalities. From Data Silos to Data Fabric with Knowledge Graphs. The post sums up the COVID-19-related projects that use GraphDB for data management and visualization.