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How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps

AWS Machine Learning Blog

With Amazon EMR, which provides fully managed environments like Apache Hadoop and Spark, we were able to process data faster. The data preprocessing batches were created by writing a shell script to run Amazon EMR through AWS Command Line Interface (AWS CLI) commands, which we registered to Airflow to run at specific intervals.

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Spark Vs. Hadoop – All You Need to Know

Pickl AI

Hadoop, focusing on their strengths, weaknesses, and use cases. You’ll better understand which framework best suits different data processing needs and business scenarios by the end. What is Apache Hadoop? This reduces the need for excessive data duplication, saving resources while maintaining fault tolerance.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Data Warehousing A data warehouse is a centralised repository that stores large volumes of structured and unstructured data from various sources. It enables reporting and Data Analysis and provides a historical data record that can be used for decision-making.

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Web Scraping vs. Web Crawling: Understanding the Differences

Pickl AI

Content Aggregation News websites or blogs may scrape content from multiple sources to provide a comprehensive overview of current events or topics. Scraping: Once the URLs are indexed, a web scraper extracts specific data fields from the relevant pages. This targeted extraction focuses on the information needed for analysis.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Diagnostic Analytics Projects: Diagnostic analytics seeks to determine the reasons behind specific events or patterns observed in the data. It involves deeper analysis and investigation to identify the root causes of problems or successes. Root cause analysis is a typical diagnostic analytics task.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing. It allows unstructured data to be moved and processed easily between systems. Kafka is highly scalable and ideal for high-throughput and low-latency data pipeline applications.

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Top Big Data Tools Every Data Professional Should Know

Pickl AI

Best Big Data Tools Popular tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Storm enable businesses to store, process, and analyse data efficiently. Real-Time Data Analysis: Connects seamlessly with various databases for live analysis.