The MLOps Blog

JUNE 27, 2023

For example, if your team is proficient in Python and R, you may want an MLOps tool that supports open data formats like Parquet, JSON, CSV, etc., Model versioning, lineage, and packaging : Can you version and reproduce models and experiments? and Pandas or Apache Spark DataFrames. Can you render audio/video?

Machine Learning 134

Machine Learning Machine Learning ML ML 134

AWS Machine Learning Blog

SEPTEMBER 18, 2024

Airflow for workflow orchestration Airflow schedules and manages complex workflows, defining tasks and dependencies in Python code. An example direct acyclic graph (DAG) might automate data ingestion, processing, model training, and deployment tasks, ensuring that each step is run in the correct order and at the right time.

AWS 123

AWS Machine Learning Machine Learning ML 123

IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Your skill set should include the ability to write in the programming languages Python, SAS, R and Scala. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

NOVEMBER 29, 2024

Machine Learning projects evolve rapidly, frequently introducing new data , models, and hyperparameters. Hydra is a powerful Python-based configuration management framework designed to simplify the complexities of handling configurations in Machine Learning (ML) workflows and other projects. What is Hydra?

Machine Learning 52

Machine Learning Machine Learning ML ML 52

phData

SEPTEMBER 13, 2023

Here’s an example of code that can be used to extract Salesforce data and load it into Snowflake using Python: 2. Third-Party Tools Third-party tools like Matillion or Fivetran can help streamline the process of ingesting Salesforce data into Snowflake.

Tableau 52

Tableau Data Pipeline Data Silos Analytics 52

Mlearning.ai

JUNE 16, 2023

Generative AI can be used to automate the data modeling process by generating entity-relationship diagrams or other types of data models and assist in UI design process by generating wireframes or high-fidelity mockups. GPT-4 Data Pipelines: Transform JSON to SQL Schema Instantly Blockstream’s public Bitcoin API.

AI 52

AI AI Data Analysis Data Analysis 52

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Iguazio

JANUARY 22, 2024

Production App - Build resilient and modular production pipelines with automation, scale, testing, observability, versioning, security, risk handling, etc. Monitoring - Monitor all resources, data, model and application metrics to ensure performance. This helps cleanse the data.

Data Pipeline 52

Data Pipeline ML ML Data Warehouse 52

DataSeries

AUGUST 15, 2024

Data Engineering Career: Unleashing The True Potential of Data Problem-Solving Skills Data Engineers are required to possess strong analytical and problem-solving skills to navigate complex data challenges. Understanding these fundamentals is essential for effective problem-solving in data engineering.

Data Engineer 40

Data Engineer Data Engineering Data Engineering Data Engineering 40

phData

OCTOBER 17, 2024

It even offers a user-friendly interface to visualize the pipelines and monitor progress. Airflow is entirely in Python, so it’s relatively easy for those with some Python experience to get started using it. Aside from migrations, Data Source is also great for data quality checks and can generate data pipelines.

AI 52

AI AI Data Quality SQL 52

ODSC - Open Data Science

APRIL 26, 2023

Though scripted languages such as R and Python are at the top of the list of required skills for a data analyst, Excel is still one of the most important tools to be used. Data Engineer Data engineers are the authors of the infrastructure that stores, processes, and manages the large volumes of data an organization has.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

DagsHub

AUGUST 29, 2024

Data can change a lot, models may also quickly evolve and dependencies become old-fashioned which makes it hard to maintain consistency or reproducibility. With weak version control, teams could face problems like inconsistent data, model drift , and clashes in their code.

ML 52

ML ML Python Machine Learning 52

Pickl AI

JUNE 7, 2024

IBM Infosphere DataStage IBM Infosphere DataStage is an enterprise-level ETL tool that enables users to design, develop, and run data pipelines. Key Features: Graphical Framework: Allows users to design data pipelines with ease using a graphical user interface. Read Further: Azure Data Engineer Jobs.

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

DagsHub

OCTOBER 23, 2024

With proper unstructured data management, you can write validation checks to detect multiple entries of the same data. Continuous learning: In a properly managed unstructured data pipeline, you can use new entries to train a production ML model, keeping the model up-to-date.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

DagsHub

DECEMBER 5, 2023

The Git integration means that experiments are automatically reproducible and linked to their code, data, pipelines, and models. With DVC, we don't need to rebuild previous models or data modeling techniques to achieve the same past state of results.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Alation

FEBRUARY 17, 2023

In one shop we built out one story for each function and used that to gain support and propel the idea of data governance forward. IT , at times, may seem to think that they drive data governance. And for good rason: many data governance jobs postings seek skills like Python, programming skills, etc.

Data Governance 52

Data Governance Data Quality Data Analyst Data Pipeline 52

DagsHub

APRIL 21, 2024

Similar to TensorFlow, PyTorch is also an open-source tool that allows you to develop deep learning models for free. Scikit-learn Scikit-learn is a machine learning library in Python that is majorly used for data mining and data analysis. It is an open-source tool that is free to use without any licensing costs.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Snorkel AI

MAY 12, 2023

The reason is that most teams do not have access to a robust data ecosystem for ML development. billion is lost by Fortune 500 companies because of broken data pipelines and communications. Publishing standards for data and governance of that data is either missing or very widely far from an ideal.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 12, 2023

The reason is that most teams do not have access to a robust data ecosystem for ML development. billion is lost by Fortune 500 companies because of broken data pipelines and communications. Publishing standards for data and governance of that data is either missing or very widely far from an ideal.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Hacker News

JULY 1, 2025

dustanbower 7 minutes ago | next [–] Location: Virginia, United States Remote: Yes (have worked exclusively remotely for past 14 years) Willing to relocate: No I've been doing backend work for the past 14 years, with Python, Django, and Django REST Framework. Interested in Python work or full-stack with Python.

Python 56

Python AWS SQL ML 56

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. Data extraction and massage, delivery to destinations like Google/Meta/TikTok/etc.

Python 78

Python AWS ML ML 78

The MLOps Blog

MAY 9, 2023

A typical machine learning pipeline with various stages highlighted | Source: Author Common types of machine learning pipelines In line with the stages of the ML workflow (data, model, and production), an ML pipeline comprises three different pipelines that solve different workflow stages.

ML 98

ML ML Machine Learning Machine Learning 98

Towards AI

JANUARY 22, 2025

Uncomfortable reality: In the era of large language models (LLMs) and AutoML, traditional skills like Python scripting, SQL, and building predictive models are no longer enough for data scientist to remain competitive in the market. Programming expertise: A medium/high proficiency in Python and SQL is enough.

Data Scientist 105

Data Scientist EDA Exploratory Data Analysis AI 105