AWS Machine Learning Blog

APRIL 16, 2024

They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference. Previously, data scientists often found themselves juggling multiple tools to support SQL in their workflow, which hindered productivity.

SQL 124

SQL AWS Database Data Scientist 124

Hacker News

NOVEMBER 19, 2024

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

Computer Science 144

Computer Science Computer Science ML ML 144

ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL.

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SQL Data Scientist Database Data Science 98

Dataconomy

JUNE 12, 2025

Technical skills Proficiency in programming languages: Familiarity with languages like C#, Java, Python, R, Ruby, Scala, and SQL is essential for building data solutions. Familiarity with ETL tools and data warehousing concepts: Knowledge of tools designed to extract, transform, and load data is crucial.

Data Engineering 91

Data Engineering Data Engineer Data Engineering Data Engineering 91

Data Science Dojo

MAY 10, 2023

Here, we outline the essential skills and qualifications that pave way for data science careers: Proficiency in Programming Languages – Mastery of programming languages such as Python, R, and SQL forms the foundation of a data scientist’s toolkit.

Data Science 368

Data Science Data Scientist Database Administration Machine Learning 368

Data Science Dojo

JULY 6, 2023

These tools provide data engineers with the necessary capabilities to efficiently extract, transform, and load (ETL) data, build data pipelines, and prepare data for analysis and consumption by other applications. dbt focuses on transforming raw data into analytics-ready tables using SQL-based transformations.

Data Engineering 195

Data Engineering Data Engineer Data Engineering Data Engineering 195

Flipboard

DECEMBER 11, 2024

Data processing and SQL analytics Analyze, prepare, and integrate data for analytics and AI using Amazon Athena, Amazon EMR, AWS Glue, and Amazon Redshift. With SageMaker Unified Studio notebooks, you can use Python or Spark to interactively explore and visualize data, prepare data for analytics and ML, and train ML models.

SQL 160

SQL AWS Data Lakes AI 160

Pickl AI

OCTOBER 17, 2024

Summary: The ETL process, which consists of data extraction, transformation, and loading, is vital for effective data management. Introduction The ETL process is crucial in modern data management. What is ETL? ETL stands for Extract, Transform, Load.

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ETL Data Warehouse SQL Data Quality 52

How to Learn Machine Learning

APRIL 26, 2025

The processes of SQL, Python scripts, and web scraping libraries such as BeautifulSoup or Scrapy are used for carrying out the data collection. Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

NOVEMBER 4, 2024

Coming to APIs again, discover how to use ChatGPT APIs in Python by clicking on the link. Each database type requires its specific driver, which interprets the application’s SQL queries and translates them into a format the database can understand. INSERT : Add new records to a table. UPDATE : Modify existing records in a table.

Database 52

Database SQL ETL Azure 52

Data Science Dojo

JULY 3, 2024

They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization. Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning. Room for improvement!

Database 158

Database AWS ETL SQL 158

Hacker News

JUNE 9, 2025

Python: https://github.com/chonkie-inc/chonkie TypeScript: https://github.com/chonkie-inc/chonkie-ts Here's a video showing our code chunker: https://youtu.be/Xclkh6bU1P0. 200k+ tokens) with many SQL snippets, query results and database metadata (e.g. table and column info).

Database 91

Database SQL ETL AI 91

AWS Machine Learning Blog

FEBRUARY 18, 2025

The assistant is connected to internal and external systems, with the capability to query various sources such as SQL databases, Amazon CloudWatch logs, and third-party tools to check the live system health status. Creating ETL pipelines to transform log data Preparing your data to provide quality results is the first step in an AI project.

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AWS Database ETL AI 72

IBM Journey to AI blog

OCTOBER 30, 2024

Notably, the prompt text, model references, and prompt engineering parameters are meticulously formatted as Python code within notebooks, allowing for seamless programmable interaction. This approach enables centralized access and sharing while minimizing extract, transform and load (ETL) processes and data duplication.

Machine Learning 95

Machine Learning Machine Learning ETL AI 95

Pickl AI

NOVEMBER 5, 2024

It allows developers to easily connect to databases, execute SQL queries, and retrieve data. It operates as an intermediary, translating Java calls into SQL commands the database understands. ODBC uses standard SQL syntax, enabling different applications to communicate with databases regardless of the programming language.

Database 52

Database SQL Python Database Administration 52

Smart Data Collective

APRIL 29, 2020

Extraction, Transform, Load (ETL). Redshift is the product for data warehousing, and Athena provides SQL data analytics. It has useful features, such as an in-browser SQL editor for queries and data analysis, various data connectors for easy data ingestion, and automated data prepossessing and ingestion. Master data management.

Data Warehouse 99

Data Warehouse Azure SQL ETL 99

Pickl AI

JUNE 7, 2024

Summary: Choosing the right ETL tool is crucial for seamless data integration. At the heart of this process lie ETL Tools—Extract, Transform, Load—a trio that extracts data, tweaks it, and loads it into a destination. Choosing the right ETL tool is crucial for smooth data management. What is ETL?

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ETL Data Quality Data Pipeline Data Warehouse 40

Flipboard

JUNE 26, 2023

Transform raw insurance data into CSV format acceptable to Neptune Bulk Loader , using an AWS Glue extract, transform, and load (ETL) job. Run an AWS Glue ETL job to merge the raw property and auto insurance data into one dataset and catalog the merged dataset. We use Python scripts to analyze the data in a Jupyter notebook.

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AWS ML ML ETL 123

Pickl AI

MARCH 19, 2025

Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Python, SQL, and Apache Spark are essential for data engineering workflows. Python Python is one of the most popular programming languages for data engineering.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

NOVEMBER 14, 2023

Looking for an effective and handy Python code repository in the form of Importing Data in Python Cheat Sheet? Your journey ends here where you will learn the essential handy tips quickly and efficiently with proper explanations which will make any type of data importing journey into the Python platform super easy.

Python 52

Python SQL Database Data Analysis 52

phData

SEPTEMBER 2, 2024

In this blog, we will cover the best practices for developing jobs in Matillion, an ETL/ELT tool built specifically for cloud database platforms. Use of Python Component The Python component, including using Jython to connect to various databases, should not be used for resource-intensive data processing.

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ETL Data Warehouse SQL Database 52

AWS Machine Learning Blog

JANUARY 17, 2024

The GPU-powered interactive visualizer and Python notebooks provide a seamless way to explore millions of data points in a single window and share insights and results. As part of the initial ETL, this raw data can be loaded onto tables using AWS Glue. Sources and schema There are few sources of mobility data.

Clustering 133

Clustering AWS ML ML 133

Mlearning.ai

APRIL 24, 2023

The Coursera class is direct to the point and gives concrete instructions about how to use the Azure Portal interface, Databricks, and the Python SDK; if you know nothing about Azure and need to use the service platform right away I highly recommend this course.

Azure 52

Azure SQL Database Python 52

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

phData

AUGUST 8, 2024

Putting the T for Transformation in ELT (ETL) is essential to any data pipeline. They let you create virtual tables from the results of an SQL query. Stored Procedures In any data warehousing solution, stored procedures encapsulate SQL logic into repeatable routines, but Snowflake has some tricks up its sleeve.

SQL 52

SQL Data Pipeline Python ETL 52

phData

APRIL 28, 2025

A Matillion pipeline is a collection of jobs that extract, load, and transform (ETL/ELT) data from various sources into a target system, such as a cloud data warehouse like Snowflake. Intuitive Workflow Design Workflows should be easy to follow and visually organized, much like clean, well-structured SQL or Python code.

AI 52

AI AI SQL ETL 52

phData

AUGUST 9, 2023

This is unlike the more traditional ETL method, where data is transformed before loading into the data warehouse. By bringing raw data into the data warehouse and then transforming it there, ELT provides more flexibility compared to ETL’s fixed pipelines. ETL systems just couldn’t handle the massive flows of raw data.

Data Warehouse 52

Data Warehouse ETL Cloud Data Big Data 52

Applied Data Science

AUGUST 2, 2021

The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data. They build production-ready systems using best-practice containerisation technologies, ETL tools and APIs. The Data Engineer Not everyone working on a data science project is a data scientist.

Data Science 130

Data Science Data Scientist ML ML 130

phData

FEBRUARY 7, 2024

Snowpark is the set of libraries and runtimes in Snowflake that securely deploy and process non-SQL code, including Python, Java, and Scala. On the server side, runtimes include Python, Java, and Scala in the warehouse model or Snowpark Container Services (public preview). filter(col("id") == 1).select(col("name"),

Python 52

Python ML ML SQL 52

ODSC - Open Data Science

APRIL 3, 2023

Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. SQL excels with big data and statistics, making it important in order to query databases.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

The MLOps Blog

SEPTEMBER 7, 2023

From writing code for doing exploratory analysis, experimentation code for modeling, ETLs for creating training datasets, Airflow (or similar) code to generate DAGs, REST APIs, streaming jobs, monitoring jobs, etc. Implementing these practices can enhance the efficiency and consistency of ETL workflows.

Machine Learning 52

Machine Learning Machine Learning ETL ML 52

Smart Data Collective

MAY 20, 2019

For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata. SQL programming skills, specific tool experience — Tableau for example — and problem-solving are just a handful of examples.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

JULY 3, 2023

Here are steps you can follow to pursue a career as a BI Developer: Acquire a solid foundation in data and analytics: Start by building a strong understanding of data concepts, relational databases, SQL (Structured Query Language), and data modeling.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Pickl AI

MARCH 3, 2025

Key skills include SQL, data visualization, and business acumen. Essential skills include SQL, data visualization, and strong analytical abilities. Technical Skill Development Master SQL for database querying and manipulation. Learn programming languages like Python or R for advanced Data Analysis and automation.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

AWS Machine Learning Blog

JUNE 25, 2024

In addition, the generative business intelligence (BI) capabilities of QuickSight allow you to ask questions about customer feedback using natural language, without the need to write SQL queries or learn a BI tool. Prompt engineering To invoke Amazon Bedrock, you can follow our code sample that uses the Python SDK.

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AWS Natural Language Processing Machine Learning Machine Learning 128

phData

AUGUST 22, 2024

Snowflake Cortex stood out as the ideal choice for powering the model due to its direct access to data, intuitive functionality, and exceptional performance in handling SQL tasks. uses: actions/setup-python@v4 with: python-version: '3.10' - name: Install dependencies run: | python -m pip install --upgrade pip pip install -r./python/requirements.txt

SQL 52

SQL Data Quality Python Data Warehouse 52