AWS Machine Learning Blog

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

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AI AI ML ML 101

Mlearning.ai

JULY 8, 2023

A batch ETL works under a predefined schedule in which the data are processed at specific points in time. On the other hand, a streaming ETL is executed quite frequently as new data arrives. The most fundamental difference between ELT and ETL is that the former first loads the data into the target storage and, then, processes them.

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Dataversity

APRIL 5, 2021

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.

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ODSC - Open Data Science

JULY 11, 2023

Remote Work: With technological advancements, companies are increasingly enabling remote work, which enables employees to work from anywhere and eliminates the need for a physical data center. This allows for faster and more efficient processing of data by reducing the distance that data must travel. Not a cloud computer?

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AWS Machine Learning Blog

APRIL 18, 2023

With the recently launched Amazon Monitron Kinesis data export v2 feature , your OT team can stream incoming measurement data and inference results from Amazon Monitron via Amazon Kinesis to AWS Simple Storage Service (Amazon S3) to build an Internet of Things (IoT) data lake.

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AWS Machine Learning Blog

APRIL 12, 2023

In this post, we describe how AWS Partner Airis Solutions used Amazon Lookout for Equipment , AWS Internet of Things (IoT) services, and CloudRail sensor technologies to provide a state-of-the-art solution to address these challenges. This organization manages fleets of globally distributed edge gateways.

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Alation

AUGUST 2, 2022

Customer centricity requires modernized data and IT infrastructures. Too often, companies manage data in spreadsheets or individual databases. This means that you’re likely missing valuable insights that could be gleaned from data lakes and data analytics.

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Alation

FEBRUARY 20, 2020

Today, CDOs in a wide range of industries have a mechanism for empowering their organizations to leverage data. As data initiatives mature, the Alation data catalog is becoming central to an expanding set of use cases. Governing Data Lakes to Find Opportunities for Customers.

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