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Apache Kafka and Apache Flink: An open-source match made in heaven

IBM Journey to AI blog

It allows your business to ingest continuous data streams as they happen and bring them to the forefront for analysis, enabling you to keep up with constant changes. Apache Kafka boasts many strong capabilities, such as delivering a high throughput and maintaining a high fault tolerance in the case of application failure.

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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

Data engineering is all about collecting, organising, and moving data so businesses can make better decisions. Handling massive amounts of data would be a nightmare without the right tools. In this blog, well explore the best data engineering tools that make data work easier, faster, and more reliable.

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How Thomson Reuters delivers personalized content subscription plans at scale using Amazon Personalize

AWS Machine Learning Blog

TR has a wealth of data that could be used for personalization that has been collected from customer interactions and stored within a centralized data warehouse. The user interactions data from various sources is persisted in their data warehouse. The following diagram illustrates the ML training pipeline.

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Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning Blog

Using Amazon Redshift ML for anomaly detection Amazon Redshift ML makes it easy to create, train, and apply machine learning models using familiar SQL commands in Amazon Redshift data warehouses. To learn more, see the blog post , watch the introductory video , or see the documentation.

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Did Big Data Deliver Business Transformation & Improved CX?

Alation

Spark, Tensorflow, Apache Kafka, et cetera, are all out found in cloud databases,” points out Jones. “File-based storage of data is the norm even under more relational models. [In This includes the ability to handle large volumes of unstructured data.”. Subscribe to Alation's Blog.

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What is Data Ingestion? Understanding the Basics

Pickl AI

From extracting information from databases and spreadsheets to ingesting streaming data from IoT devices and social media platforms, It’s the foundation upon which data-driven initiatives are built. Batch Processing In this method, data is collected over a period and then processed in groups or batches.

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How Netflix Applies Big Data Across Business Verticals: Insights and Strategies

Pickl AI

Introduction Netflix has transformed the entertainment landscape, not just through its vast library of content but also by leveraging Big Data across various business verticals. As a pioneer in the streaming industry, Netflix utilises advanced data analytics to enhance user experience, optimise operations, and drive strategic decisions.