AWS Machine Learning Blog

DECEMBER 18, 2023

Make sure you have the following prerequisites: Create an S3 bucket Configure MongoDB Atlas cluster Create a free MongoDB Atlas cluster by following the instructions in Create a Cluster. Setup the Database access and Network access. The following screenshots shows the setup of the data federation.

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Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud.

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AWS Machine Learning Blog

MAY 16, 2024

With Amazon EMR, which provides fully managed environments like Apache Hadoop and Spark, we were able to process data faster. Event-based pipeline automation After the preprocessing batch was complete and the training/test data was stored in Amazon S3, this event invoked CodeBuild and ran the training pipeline in SageMaker.

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Pickl AI

JANUARY 30, 2025

Hadoop MapReduce, Amazon EMR, and Spark integration offer flexible deployment and scalability. By clustering identical keys, the Shuffle and Sort phase minimises the complexity of downstream tasks and paves the way for more efficient data reduction. Hadoop MapReduce Hadoop MapReduce is the cornerstone of the Hadoop ecosystem.

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Pickl AI

NOVEMBER 4, 2024

Scikit-learn covers various classification , regression , clustering , and dimensionality reduction algorithms. Engaging in these events fosters community, providing support and motivation as you advance your Python journey for Data Science. Scikit-learn Scikit-learn is the go-to library for Machine Learning in Python.

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Mlearning.ai

MAY 16, 2023

In data engineering, the Pub/Sub pattern can be used for various use cases such as real-time data processing, event-driven architectures, and data synchronization across multiple systems. The company can use the Pub/Sub pattern to process customer events such as product views, add to cart, and checkout.

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Pickl AI

AUGUST 9, 2024

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. It is built on the Hadoop Distributed File System (HDFS) and utilises MapReduce for data processing.

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Pickl AI

NOVEMBER 4, 2024

Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage. Apache Hadoop Hadoop is a powerful framework that enables distributed storage and processing of large data sets across clusters of computers.

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Pickl AI

JULY 30, 2024

Guaranteed Delivery : NiFi ensures that data delivered reliably, even in the event of failures. It maintains a write-ahead log to ensure that the state of FlowFiles preserved, even in the event of a failure. Provenance Repository : This repository records all provenance events related to FlowFiles. Is Apache NiFi Easy to Use?

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Pickl AI

MARCH 10, 2023

It contains data clustering, classification, anomaly detection and time-series forecasting. Some of the tools used by Data Science in 2023 include statistical analysis system (SAS), Apache, Hadoop, and Tableau. Additionally, you should attend conferences and events like webinars and learn from your peers and experts.

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Pickl AI

JULY 20, 2023

Diagnostic Analytics Projects: Diagnostic analytics seeks to determine the reasons behind specific events or patterns observed in the data. 3. Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes. Root cause analysis is a typical diagnostic analytics task.

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DagsHub

OCTOBER 23, 2024

Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. Apache Kafka Apache Kafka is a distributed event streaming platform for real-time data pipelines and stream processing. Data Processing Tools These tools are essential for handling large volumes of unstructured data.

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ODSC - Open Data Science

JANUARY 7, 2025

Hadoop, though less common in new projects, is still crucial for batch processing and distributed storage in large-scale environments. Clustering methods are similarly important, particularly for grouping data into meaningful segments without predefined labels. Kafka remains the go-to for real-time analytics and streaming.

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phData

FEBRUARY 5, 2024

Setting up the Information Architecture Setting up an information architecture during migration to Snowflake poses challenges due to the need to align existing data structures, types, and sources with Snowflake’s multi-cluster, multi-tier architecture. Get to know all the ins and outs of your upcoming migration. We have you covered !

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