AWS Machine Learning Blog

OCTOBER 28, 2024

In the modern, cloud-centric business landscape, data is often scattered across numerous clouds and on-site systems. This fragmentation can complicate efforts by organizations to consolidate and analyze data for their machine learning (ML) initiatives. You can now use the connector in your Athena queries.

Machine Learning 114

Machine Learning Machine Learning ML ML 114

Data Science Dojo

JULY 6, 2023

Data engineering tools are software applications or frameworks specifically designed to facilitate the process of managing, processing, and transforming large volumes of data. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

Data Engineer 195

Data Engineer Data Engineering Data Engineering Data Engineering 195

Data Science Dojo

MAY 10, 2023

Data Scientist Data scientists are responsible for designing and implementing data models, analyzing and interpreting data, and communicating insights to stakeholders. They require strong programming skills, knowledge of statistical analysis, and expertise in machine learning.

Data Science 368

Data Science Data Scientist Database Administration Machine Learning 368

KDnuggets

JUNE 6, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.

Python 168

Python Natural Language Processing Data Science Machine Learning 168

KDnuggets

JUNE 10, 2025

By Cornellius Yudha Wijaya , KDnuggets Technical Content Specialist on June 10, 2025 in Python Image by Author | Ideogram Python has become a primary tool for many data professionals for data manipulation and machine learning purposes because of how easy it is for people to use.

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Python Natural Language Processing Data Science Machine Learning 143

KDnuggets

JUNE 9, 2025

Abid Ali Awan ( @1abidaliawan ) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies.

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Natural Language Processing Data Science Machine Learning Machine Learning 143

KDnuggets

NOVEMBER 30, 2022

What is Chebychev's Theorem and How Does it Apply to Data Science? Linux for Data Science Cheatsheet • The Complete Data Engineering Study Roadmap • 10 Amazing Machine Learning Visualizations You Should Know in 2023 • 7 SQL Concepts Needed for Data Science.

Data Science 185

Data Science SQL Machine Learning Machine Learning 185

Data Science Dojo

JULY 24, 2023

They allow data processing tasks to be distributed across multiple machines, enabling parallel processing and scalability. It involves various technologies and techniques that enable efficient data processing and retrieval. Stay tuned for an insightful exploration into the world of Big Data Engineering with Distributed Systems!

Big Data 195

Big Data Big Data Data Engineer Data Engineering 195

KDnuggets

JUNE 9, 2025

What to build : Develop a script that pulls data from a source (spreadsheet, database, or API), generates a report, and emails it to a predefined list of recipients on a schedule.

Python 143

Python Natural Language Processing Data Science Machine Learning 143

Data Science Blog

JUNE 30, 2023

The data is obtained from the Internet via APIs and web scraping, and the job titles and the skills listed in them are identified and extracted from them using Natural Language Processing (NLP) or more specific from Named-Entity Recognition (NER). Over the time, it will provides you the answer on your questions related to which tool to learn!

Data Engineer 130

Data Engineer Data Engineering Data Engineering Data Engineering 130

KDnuggets

JUNE 10, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Selling Your Side Project?

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AWS Machine Learning Blog

MARCH 18, 2025

SQL is one of the key languages widely used across businesses, and it requires an understanding of databases and table metadata. This can be overwhelming for nontechnical users who lack proficiency in SQL. This application allows users to ask questions in natural language and then generates a SQL query for the users request.

SQL 113

SQL Database AI AI 113

Smart Data Collective

OCTOBER 11, 2021

If you enjoy working with data, or if you’re just interested in a career with a lot of potential upward trajectory, you might consider a career as a data engineer. But what exactly does a data engineer do, and how can you begin your career in this niche? What Is a Data Engineer?

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Data Engineer Data Engineering Data Engineering Data Engineering 132

ODSC - Open Data Science

MARCH 6, 2023

In an effort to learn more about our community, we recently shared a survey about machine learning topics, including what platforms you’re using, in what industries, and what problems you’re facing. For currently-used machine learning frameworks, some of the usual contenders were popular as expected.

Machine Learning 116

Machine Learning Machine Learning Data Science Deep Learning 116

Analytics Vidhya

SEPTEMBER 30, 2021

This article was published as a part of the Data Science Blogathon Overview Databricks in simple terms is a data warehousing, machine learning web-based platform developed by the creators of Spark. But Databricks is much more than that.

Machine Learning 353

Machine Learning Machine Learning Data Science Analytics 353

AWS Machine Learning Blog

JUNE 20, 2024

The data is stored in a data lake and retrieved by SQL using Amazon Athena. The following figure shows a search query that was translated to SQL and run. Data is normally stored in databases, and can be queried using the most common query language, SQL. The challenge is to assure quality.

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SQL Database AWS Machine Learning 121

KDnuggets

OCTOBER 30, 2019

Also: Highest paid positions in 2019 are DevOps, Data Scientist, Data Engineer (all over $100K) - Stack Overflow Salary Calculator, Updated; A neural net solves the three-body problem 100 million times faster; The Last SQL Guide for Data Analysis You’ll Ever Need; How YouTube is Recommending Your Next Video.

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Machine Learning Machine Learning Data Scientist SQL 127

AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications. The following diagram illustrates the solution architecture.

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SQL Data Lakes Data Analyst AWS 131

KDnuggets

NOVEMBER 6, 2023

If you know SQL, you can easily learn Cypher and open up a huge opportunity for data analysis. Graph databases are quickly becoming a core part of the analytics toolset for enterprise IT organizations.

Database 329

Database SQL Data Analysis Data Analysis 329

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines. What Does a Data Engineer Do?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

How to Learn Machine Learning

APRIL 26, 2025

The field of data science is now one of the most preferred and lucrative career options available in the area of data because of the increasing dependence on data for decision-making in businesses, which makes the demand for data science hires peak.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

ODSC - Open Data Science

MARCH 13, 2023

Recently, we posted the first article recapping our recent machine learning survey. There, we talked about some of the results, such as what programming languages machine learning practitioners use, what frameworks they use, and what areas of the field they’re interested in. As the chart shows, two major themes emerged.

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Machine Learning Machine Learning Data Wrangling Data Science 94

Data Science Dojo

MAY 18, 2023

In this panel, we will discuss how MLOps can help overcome challenges in operationalizing machine learning models, such as version control, deployment, and monitoring. Additionally, how ML Ops is particularly helpful for large-scale systems like ad auctions, where high data volume and velocity can pose unique challenges.

Data Science 195

Data Science AI AI SQL 195

AWS Machine Learning Blog

APRIL 3, 2025

OMRONs data strategyrepresented on ODAPalso allowed the organization to unlock generative AI use cases focused on tangible business outcomes and enhanced productivity. This tool democratizes data access across the organization, enabling even nontechnical users to gain valuable insights.

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AWS Data Governance Data Silos SQL 88

KDnuggets

DECEMBER 15, 2022

What is Chebychev's Theorem and How Does it Apply to Data Science? • Git for Data Science Cheatsheet • 7 SQL Concepts Needed for Data Science • The Complete Data Engineering Study Roadmap •.

Data Science 110

Data Science SQL Machine Learning Machine Learning 110

AWS Machine Learning Blog

JUNE 6, 2023

Amazon SageMaker Feature Store is a purpose-built service to store and retrieve feature data for use by machine learning (ML) models. Feature Store provides an online store capable of low-latency, high-throughput reads and writes, and an offline store that provides bulk access to all historical record data.

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Machine Learning Machine Learning Python SQL 98

AWS Machine Learning Blog

NOVEMBER 20, 2024

Repeat the steps to add another Aurora MySQL data source, called aggregated_sales , for the same database but with the following details in the Sync scope This data source will be used by Amazon Q for answering questions on aggregated sales. Data Engineer at Amazon Ads. For IAM role , choose Create a new service role.

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Database AWS SQL ETL 119

AWS Machine Learning Blog

DECEMBER 1, 2023

The ability to quickly build and deploy machine learning (ML) models is becoming increasingly important in today’s data-driven world. From data collection and cleaning to feature engineering, model building, tuning, and deployment, ML projects often take months for developers to complete.

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Machine Learning Machine Learning Data Preparation ML 124

Dataconomy

MARCH 19, 2025

Overview of core disciplines Data science encompasses several key disciplines including data engineering, data preparation, and predictive analytics. Data engineering lays the groundwork by managing data infrastructure, while data preparation focuses on cleaning and processing data for analysis.

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Data Science Citizen Data Scientist Data Scientist Machine Learning 91

IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

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Machine Learning Machine Learning Data Science Big Data 70

Flipboard

JUNE 22, 2023

Data engineering startup Prophecy is giving a new turn to data pipeline creation. Known for its low-code SQL tooling, the California-based company today announced data copilot, a generative AI assistant that can create trusted data pipelines from natural language prompts and improve pipeline quality …

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Data Pipeline SQL Data Engineering Data Engineering 123

Flipboard

DECEMBER 18, 2023

Customers use Amazon Redshift as a key component of their data architecture to drive use cases from typical dashboarding to self-service analytics, real-time analytics, machine learning (ML), data sharing and monetization, and more.

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AWS Data Warehouse ETL SQL 136

Data Science Dojo

JULY 7, 2023

Data Science intertwines statistics, problem-solving, and programming to extract valuable insights from vast data sets. This discipline takes raw data, deciphers it, and turns it into a digestible format using various tools and algorithms. Tools such as Python, R, and SQL help to manipulate and analyze data.

Data Science 195

Data Science Data Scientist Python Algorithm 195

Dataconomy

JULY 24, 2023

Coding skills are essential for tasks such as data cleaning, analysis, visualization, and implementing machine learning algorithms. You might be asking, “How to become a data scientist with a background in a different field?” Machine learning Machine learning is a key part of data science.

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Data Scientist Data Science Data Analyst Machine Learning 172

Data Science 101

FEBRUARY 15, 2020

Azure Cognitive Services Named Entity Recognition gets some new types Persontype, product, event, organization, date are just some of them Amazon Aurora PostgreSQL Supports Machine Learning Aurora PostgreSQL can now use SQL to call ML models created with SageMaker. Google Announces BigQuery Data Challenge.

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Cloud Data Data Science Deep Learning Deep Learning 112

Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

DECEMBER 25, 2024

Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Techniques such as data cleansing, aggregation, and trend analysis play a critical role in ensuring data quality and relevance. Data Scientists require a robust technical foundation.

Data Science 52

Data Science Analytics Analytics Data Scientist 52