AWS Machine Learning Blog

DECEMBER 7, 2023

He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. He then joined Getir in 2019 and currently works as Data Science & Analytics Manager.

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AWS Machine Learning Blog

DECEMBER 4, 2023

Overview of solution Five people from Getir’s data science team and infrastructure team worked together on this project. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. She joined Getir in 2022, and has been working as a Data Scientist.

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Tableau

FEBRUARY 14, 2022

February 14, 2022 - 6:11pm. February 15, 2022. They had data science groups, they had an AI center of excellence, they had investments, they were developing proof of concepts—trying to figure out the art of the possible. Vidya Setlur. Director of Research, Tableau. Kristin Adderson.

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AWS Machine Learning Blog

MARCH 8, 2023

Manager Data Science at Marubeni Power International. Data collection and ingestion The data collection and ingestion layer connects to all upstream data sources and loads the data into the data lake. 11/7/2022 17 RT Energy LCIENEGA_6_N001 5.15 $105.34 He holds a Ph.D.

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Tableau

FEBRUARY 14, 2022

February 14, 2022 - 6:11pm. February 15, 2022. They had data science groups, they had an AI center of excellence, they had investments, they were developing proof of concepts—trying to figure out the art of the possible. Vidya Setlur. Director of Research, Tableau. Kristin Adderson.

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AI AI Tableau Data Scientist 95

AWS Machine Learning Blog

JUNE 22, 2023

In LnW Connect, an encryption process was designed to provide a secure and reliable mechanism for the data to be brought into an AWS data lake for predictive modeling. Results The following table summarizes the results using the baseline and the customized neural network models, with 7/1/2022 as the train/test split point.

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ODSC - Open Data Science

JULY 27, 2023

Choosing a Data Lake Format: What to Actually Look For The differences between many data lake products today might not matter as much as you think. When choosing a data lake, here’s something else to consider. Use this guide to get started with your prompt engineering skills!

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AWS Machine Learning Blog

MAY 15, 2023

Solution overview Six people from Getir’s data science team and infrastructure team worked together on this project. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. She then joined Getir in 2022 as a Senior Data Scientist working on forecasting and search engine projects.

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Algorithm Data Scientist Machine Learning Machine Learning 101

AWS Machine Learning Blog

JANUARY 13, 2023

Amazon Simple Storage Service (Amazon S3) object storage acts as a content data lake. TR built processes to securely access data from the content data lake to users’ experimentation workspaces while maintaining required authorization and auditability. TR worked closely with the SageMaker service team on this issue.

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ODSC - Open Data Science

APRIL 3, 2023

As the sibling of data science, data analytics is still a hot field that garners significant interest. Companies have plenty of data at their disposal and are looking for people who can make sense of it and make deductions quickly and efficiently. Cloud Services: Google Cloud Platform, AWS, Azure.

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AWS Machine Learning Blog

FEBRUARY 7, 2025

Data science teams often face challenges when transitioning models from the development environment to production. Usually, there is one lead data scientist for a data science group in a business unit, such as marketing. ML Dev Account This is where data scientists perform their work.

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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. About the authors Julia Hu is a Sr.

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ODSC - Open Data Science

JUNE 12, 2023

Microsoft announced the public preview availability of Datamarts in May 2022. The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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Pickl AI

NOVEMBER 4, 2024

As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. The global Big Data and Data Engineering Services market, valued at USD 51,761.6 million in 2022, is projected to grow at a CAGR of 18.15% , reaching USD 140,808.0

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Pickl AI

AUGUST 1, 2023

Data Engineering plays a critical role in enabling organizations to efficiently collect, store, process, and analyze large volumes of data. It is a field of expertise within the broader domain of data management and Data Science. Future of Data Engineering The Data Engineering market will expand from $18.2

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Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

JULY 11, 2023

What are the similarities and differences between data centers, data lake houses, and data lakes? Data centers, data lake houses, and data lakes are all related to data storage and management, but they have some key differences. Not a cloud computer?

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Data Lakes Cloud Computing AI AI 40

Alation

FEBRUARY 13, 2020

The re-insurance product that they introduced was inspired by collaboration between geographically dispersed teams coming together through the Alation Data Catalog. With the introduction of a new data lake, MunichRe created a new way for actuaries and business experts to explore new product concepts and test new markets.

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The MLOps Blog

MARCH 21, 2023

By storing all model-training-related artifacts, your data scientists will be able to run experiments and update models iteratively. Versioning Your data science team will benefit from using good MLOps practices to keep track of versioning, particularly when conducting experiments during the development stage. Model registry.

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AWS Machine Learning Blog

APRIL 12, 2023

With this service, industrial sensors, smart meters, and OPC UA servers can be connected to an AWS data lake with just a few clicks. It’s an easy way to run analytics on IoT data to gain accurate insights. He published a book on time series analysis in 2022 and regularly writes about this topic on LinkedIn and Medium.

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Alation

JULY 7, 2022

To answer these questions we need to look at how data roles within the job market have evolved, and how academic programs have changed to meet new workforce demands. In the 2010s, the growing scope of the data landscape gave rise to a new profession: the data scientist. A lack of data literacy slows down the process.

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Data Scientist Data Analyst Analytics Analytics 52

phData

SEPTEMBER 20, 2023

A data mesh is a conceptual architectural approach for managing data in large organizations. Traditional data management approaches often involve centralizing data in a data warehouse or data lake, leading to challenges like data silos, data ownership issues, and data access and processing bottlenecks.

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Pickl AI

DECEMBER 11, 2024

Begin by identifying bottlenecks in your existing pipeline, such as duplicate data collection points or slow processing times. Implement tools that allow real-time data integration and transformation to maintain accuracy and timeliness. billion in 2022, is projected to skyrocket to $142 billion by 2032, growing at a CAGR of 18.1%.

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Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

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SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

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SQL ML ML Python 52

Data Science Blog

MARCH 14, 2023

Big Data wurde für viele Unternehmen der traditionellen Industrie zur Enttäuschung, zum falschen Versprechen. Datenqualität hingegen, wurde zum wichtigen Faktor jeder Unternehmensbewertung, was Themen wie Reporting, Data Governance und schließlich dann das Data Engineering mehr noch anschob als die Data Science.

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AWS Machine Learning Blog

MARCH 30, 2023

In 2022/23 so far, he has almost secured a clean sheet every other match for Die Schwarzgelben, despite the team’s inconsistency and often poor midfield performance. The information also gets stored in a data lake for future auditing and model improvements. Tareq Haschemi is a consultant within AWS Professional Services.

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The MLOps Blog

MAY 9, 2023

The pipelines are interoperable to build a working system: Data (input) pipeline (data acquisition and feature management steps) This pipeline transports raw data from one location to another. Model/training pipeline This pipeline trains one or more models on the training data with preset hyperparameters. Kale v0.7.0.

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Hacker News

JULY 1, 2025

Good at Go, Kubernetes (Understanding how to manage stateful services in a multi-cloud environment) We have a Python service in our Recommendation pipeline, so some ML/Data Science knowledge would be good. You’ll own and work with everything from distributed queues and data lakes to prompt evaluation and agentic orchestration.

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