AWS Machine Learning Blog

FEBRUARY 28, 2024

Third, despite the larger adoption of centralized analytics solutions like data lakes and warehouses, complexity rises with different table names and other metadata that is required to create the SQL for the desired sources. Our solution aims to address those challenges using Amazon Bedrock and AWS Analytics Services.

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ODSC - Open Data Science

OCTOBER 13, 2024

Be sure to check out her talk, “ Don’t Go Over the Deep End: Building an Effective OSS Management Layer for Your Data Lake ,” there! Managing a data lake can often feel like being lost at sea — especially when dealing with both structured and unstructured data.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

In this post, we demonstrate how to build a robust real-time anomaly detection solution for streaming time series data using Amazon Managed Service for Apache Flink and other AWS managed services. It offers an AWS CloudFormation template for straightforward deployment in an AWS account. anomalyScore":0.0,"detectionPeriodStartTime":"2024-08-29

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Precisely

JANUARY 18, 2024

Our 2024 mainframe trends recap focuses on modernization and the technologies and trends that can impact your own initiatives. With the emergence of cloud hyperscalers like AWS, Google, and Microsoft, the shift to the cloud has accelerated significantly. Let’s dive in.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

By early 2024, we are beginning to see the start of “Act 2,” in which many POCs are evolving into production, delivering significant business value. Introducing Amazon Elastic Kubernetes Service (Amazon EKS) in Amazon SageMaker HyperPod Recognizing these challenges, AWS launched Amazon SageMaker HyperPod last year.

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Snorkel AI

OCTOBER 9, 2024

We are proud to announce the latest generation of enterprise readiness features for Snorkel Flow introduced in our 2024.R3 These capabilities enable enterprise IT admins , compliance officers , and security analysts to configure and tailor Snorkel Flow data safeguards to your company’s control policies. Although unavailable in 2024.R3

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Pickl AI

NOVEMBER 4, 2024

Role of Data Engineers in the Data Ecosystem Data Engineers play a crucial role in the data ecosystem by bridging the gap between raw data and actionable insights. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes.

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ODSC - Open Data Science

JANUARY 18, 2024

They’ll also work with software engineers to ensure that the data infrastructure is scalable and reliable. These professionals will work with their colleagues to ensure that data is accessible, with proper access. The reason this is an important skill is that ETL is a critical process for data warehousing and business intelligence.

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phData

DECEMBER 4, 2023

This blog was originally written by Erik Hyrkas and updated for 2024 by Justin Delisi This isn’t meant to be a technical how-to guide — most of those details are readily available via a quick Google search — but rather an opinionated review of key processes and potential approaches.

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AWS Machine Learning Blog

DECEMBER 3, 2024

Although generative AI is fueling transformative innovations, enterprises may still experience sharply divided data silos when it comes to enterprise knowledge, in particular between unstructured content (such as PDFs, Word documents, and HTML pages), and structured data (real-time data and reports stored in databases or data lakes).

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AWS Machine Learning Blog

APRIL 30, 2025

This post explores key insights and lessons learned from AWS customers in Europe, Middle East, and Africa (EMEA) who have successfully navigated this transition, providing a roadmap for others looking to follow suit. Il Sole 24 Ore leveraged its vast internal knowledge with a Retrieval Augmented Generation (RAG) solution powered by AWS.

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