ProjectPro

JUNE 6, 2025

Avoid Python Data Types Like Dictionaries Python dictionaries and lists aren't distributable across nodes, which can hinder distributed processing. The distributed execution engine in the Spark core provides APIs in Java, Python, and Scala for constructing distributed ETL applications. dump- saves all of the profiles to a path.

Hadoop 68

Hadoop Metadata Java Datasets 68

Engineering at Meta

APRIL 28, 2025

Understanding DataSchema requires grasping schematization , which defines the logical structure and relationships of data assets, specifying field names, types, metadata, and policies. JSON) into fields and sub-fields, and extracting features using APIs available in multiple languages (C++, Python, Hack).

Metadata 83

Metadata Data Utilities Data Warehouse 83

Christophe Blefari

MARCH 15, 2024

yato, is a small Python library that I've developed, yato stands for yet another transformation orchestrator. Attributing Snowflake cost to whom it belongs — Fernando gives ideas about metadata management to attribute better Snowflake cost. This is Croissant.

Metadata 272

Metadata Software Engineering Software Engineer Data Warehouse 272

Engineering at Meta

JANUARY 22, 2025

Hack, C++, Python, etc.) We overcame this by developing reliable, computationally efficient, and widely applicable PAI libraries with built-in lineage collection logic in various programming languages (Hack, C++, Python, etc.). For simplicity, we will demonstrate these for the web, the data warehouse, and AI, per the diagram below.

Data Warehouse 116

Data Warehouse SQL Programming Language Data 116

Christophe Blefari

MARCH 1, 2023

You can also add metadata on models (in YAML). Jinja templating — Jinja is a templating engine that seems to exist forever in Python. You should also know that model are defined in.sql files and that the filename is the name of the model by default. You have to define sources in YAML files.

Data Warehouse 278

Data Warehouse Metadata SQL Raw Data 278

ProjectPro

JUNE 6, 2025

It uses low-cost, highly scalable data lakes for storage and introduces a metadata layer to manage data processing. It includes features such as metadata, caching, and indexing, and is compatible with processing engines like Apache Spark , Apache Hive, and Presto. This results in a fast and scalable metadata handling system.

Data Lake 63

Data Lake Data Warehouse Metadata Unstructured Data 63

ProjectPro

JUNE 6, 2025

The components are as follows: Data Analysis : The analysis component of the MLOps flow can be implemented using various tools and programming languages like Python and R. Focus on performing a preliminary analysis of the data using Python, leveraging pandas profiling and sweetviz. The source code for inspiration can be found here.

Project 66

Project Amazon Web Services Machine Learning Data Science 66

Engineering at Meta

JANUARY 21, 2025

Python, Java, and Erlang). Did someone say Metadata? There are even folks who create dashboards from this metadata to help other engineers identify expensive copying, use of inefficient or inappropriate C++ containers, overuse of smart pointers, and much more. Function call count profilers. AI/GPU profilers.

Technology 115

Technology Metadata Utilities Engineering 115

Engineering at Meta

AUGUST 15, 2023

Instagram has introduced Immortal Objects – PEP-683 – to Python. At Meta, we use Python (Django) for our frontend server within Instagram. Immortal Objects for Python This problem of state mutation of shared objects is at the heart of how the Python runtime works.

Python 97

Python Metadata Architecture Process 97

Snowflake

JANUARY 15, 2025

Youll use the Rasterio Python library to create functions that extract the GeoTIFF metadata, evaluate the bands present in the GeoTIFF and ultimately read and convert the centroid of each pixel into vector data (points). Then evaluate the metadata and convert the points to a data type in the proper SRID. Load the GeoTIFF file.

Transportation 97

Transportation BI Database-centric Metadata 97

Lyft Engineering

MARCH 6, 2024

DEED In this post, we’ll cover how Lyft upgrades Python at scale — 1500+ repos spanning 150+ teams — and the latest iteration of the tools and strategy we’ve built to optimize both the overall time to upgrade and the work required from our engineers. linters) and libraries as they drop old Pythons or only work on the newest Pythons (e.g.

Python 82

Python Metadata Datasets Coding 82

Data Engineering Podcast

JUNE 16, 2024

what kinds of questions are you answering with table metadata what use case/team does that support comparative utility of iceberg REST catalog What are the shortcomings of Trino and Iceberg? __init__ covers the Python language, its community, and the innovative ways it is being used. Closing Announcements Thank you for listening!

Data Lake 147

Data Lake High Quality Data Metadata Government 147

ProjectPro

JUNE 6, 2025

Airflow DAG Python Apache Airflow DAG Dependencies Apache Airflow DAG Arguments How to Test Airflow DAGs? It is a Python script that defines and organizes tasks in a workflow. It is represented as a node in DAG and is written in Python. Core Concepts of Airflow DAGs Airflow DAGs Architecture How To Create Airflow DAGs?

Data Pipeline 63

Data Pipeline PostgreSQL Python Database 63

Data Engineering Podcast

AUGUST 13, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. __init__ covers the Python language, its community, and the innovative ways it is being used. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Metadata 100

Metadata MongoDB MySQL Scala 100

Data Engineering Weekly

NOVEMBER 24, 2024

Canva writes about its custom solution using dbt and metadata capturing to attribute costs, monitor performance, and enable data-driven decision-making, significantly enhancing its Snowflake environment management. link] JBarti: Write Manageable Queries With The BigQuery Pipe Syntax Our quest to simplify SQL is always an adventure.

Data Engineer 57

Data Engineer Data Engineering Engineering Insurance 57

ProjectPro

JUNE 6, 2025

It even allows you to build a program that defines the data pipeline using open-source Beam SDKs (Software Development Kits) in any three programming languages: Java, Python, and Go. It uses NVIDIA CUDA primitives for basic compute optimization, while user-friendly Python interfaces exhibit GPU parallelism and great bandwidth memory speed.

Big Data 49

Big Data Project Metadata Programming Language 49

Towards Data Science

DECEMBER 10, 2024

I created a very basic dashboard that highlighted metadata by revenue source and date for the last 14 days. Thanks to Python, this can be achieved using a script with as few as 100 lines ofcode. If you know a bit of Python and LLM prompting you should be able to hack the code in an hour. Enter Tableau. The row count of thedata.

PostgreSQL 75

PostgreSQL Data SQL Python 75

Tweag

MAY 24, 2023

Last time I wrote about how we can use Python’s 1 abstract base classes to express useful concepts and primitives that are common in functional programming languages. In this final episode, I’ll cover testing strategies that can be learnt from functional programming and applied to your Python code. in functional programming ecosystems.

Python 112

Python Programming Language Programming Coding 112

ProjectPro

JUNE 6, 2025

Getting Started with ChromaDB in Python How to Use Chroma DB? Along with the embeddings, you can also store metadata like the movie's title, genre, or release year. Collection: A container for storing embeddings and their associated metadata. Table of Contents What is Chroma DB? What is Chroma DB Used For?

Database 40

Database Metadata Medical Recruitment 40

Teradata

MAY 30, 2025

Infrastructure layout Diagram illustrating the data flow between each component of the infrastructure Prerequisites Before you embark on this integration, ensure you have the following set up: Access to a Vantage instance: If you need a test instance of Vantage, you can provision one for free Python 3.10 dbt-core dagster==1.7.9 toml │ setup.

Data Integration 52

Data Integration Raw Data Metadata Data Pipeline 52

Snowflake

JANUARY 23, 2024

We have been making it easier and faster to build and manage ML models with Snowpark ML , the Python library and underlying infrastructure for end-to-end ML workflows in Snowflake. Many developers and enterprises looking to use machine learning (ML) to generate insights from data get bogged down by operational complexity.

Machine Learning 138

Machine Learning Metadata Telecommunication Python 138

ProjectPro

JUNE 6, 2025

Is python suitable for machine learning pipeline design patterns? Neptune Neptune is a machine learning metadata repository designed for monitoring various experiments by research and production teams. It comes with a customizable metadata format that lets you organize training and production info any way you desire.

Machine Learning 58

Machine Learning Building Amazon Web Services Deep Learning 58

Cloudera

DECEMBER 3, 2024

REST Catalog Value Proposition It provides open, metastore-agnostic APIs for Iceberg metadata operations, dramatically simplifying the Iceberg client and metastore/engine integration. It provides real time metadata access by directly integrating with the Iceberg-compatible metastore. spark.sql(SELECT * FROM airlines_data.carriers).show()

Metadata 84

Metadata SQL Data Warehouse Database 84

ProjectPro

JUNE 6, 2025

Management and Storage of Metadata 2. Experience Hands-on Learning with the Best Course for MLOps Management and Storage of Metadata Metadata refers to the details about the dataset you will use in a machine learning project. It automatically searches for the best hyperparameters by implementing algorithms in Python.

Amazon Web Services 68

Amazon Web Services Machine Learning Datasets Algorithm 68

Christophe Blefari

JUNE 21, 2024

Below a diagram describing what I think schematises data platforms: Data storage — you need to store data in an efficient manner, interoperable, from the fresh to the old one, with the metadata. you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with —with Databricks you buy an engine.

Metadata 147

Metadata Data Warehouse BI MySQL 147

Data Engineering Podcast

SEPTEMBER 17, 2023

Linked data technologies provide a means of tightly coupling metadata with raw information. If you’re a data person, you probably have to jump between different tools to run queries, build visualizations, write Python, and send around a lot of spreadsheets and CSV files. Hex brings everything together. Hex brings everything together.

Building 189

Building BI SQL Python 189

ProjectPro

JUNE 6, 2025

Metadata Layer 3. Efficient Metadata Management uses a manifest and snapshot system to reduce query planning time and I/O overhead. Its architecture is centered around immutability and versioned metadata, enabling scalable operations with consistency and speed. It maintains references to the latest metadata file for each table.

Architecture 40

Architecture Data Lake Metadata Cloud Storage 40

ProjectPro

JUNE 6, 2025

Standardization of file formats, encodings, and metadata ensures consistency and smooth downstream processing. These databases employ indexing techniques like HNSW and FAISS , ensuring optimized search capabilities while preserving metadata and relationships between modalities.

Building 40

Building Python Bytes Pharmaceutical 40

Data Engineering Podcast

FEBRUARY 5, 2023

__init__ covers the Python language, its community, and the innovative ways it is being used. __init__ covers the Python language, its community, and the innovative ways it is being used. Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Data Engineer 147

Data Engineer Data Engineering Engineering PostgreSQL 147

ProjectPro

JUNE 6, 2025

Setting up Python with Amazon Redshift Cluster 10. Using Apache Airflow with Python programming language, you can build a reusable and parameterizable ETL process that will digest data from the S3 bucket into Redshift. With this project, you can create a state machine that will start the series of the AWS Glue Python Shell jobs.

Data Pipeline 64

Data Pipeline AWS Project Building 64

Tweag

APRIL 3, 2023

In this post, we describe a design for a Python monorepo: how we structure it; which tools we favor; alternatives that were considered; and some possible improvements. Python environments: one global vs many local Working on a Python project requires a Python environment (a.k.a. venv) > which python /some/path/.venv/bin/python

Python 98

Python Coding Project Data Science 98

ProjectPro

JUNE 6, 2025

Scheduler Executors DAGs (Directed Acyclic Graphs) Web Server Metadata Database List of the Best Resources to Learn About Apache Airflow in 2025 Get Your Hands-On Learning Apache Airflow with ProjectPro! How to Learn about Metadata Database? How to Learn Airflow from Scratch? FAQs on How to Learn Airflow?

PostgreSQL 40

PostgreSQL Metadata MySQL Data Workflow 40

ProjectPro

JUNE 6, 2025

We’ll cover its setup, features, and architecture and show you how to implement a simple, scalable AI-powered similarity search solution using Python. Metadata is nothing but the contextual information associated with each vector embedding. tags or labels) to perform hybrid queries. tags or labels) to perform hybrid queries.

Database 40

Database Project Metadata Unstructured Data 40

ProjectPro

JUNE 6, 2025

It works together with a LakeHouse architecture that combines the features of data warehouses and data lakes for metadata management and data governance. Databricks vs. Azure Synapse: Programming Language Support Azure Synapse supports programming languages such as Python, SQL, and Scala. Databricks supports Python, R, and SQL.

Programming Language 40

Programming Language Data Lake Scala Data Warehouse 40

Data Engineering Podcast

FEBRUARY 19, 2023

__init__ covers the Python language, its community, and the innovative ways it is being used. Acryl]([link] The modern data stack needs a reimagined metadata management platform. Acryl Data’s vision is to bring clarity to your data through its next generation multi-cloud metadata management platform.

IT 147

IT Data Lake Metadata Data Warehouse 147

Snowflake

JUNE 11, 2024

Teams can interact and manage these objects using Snowflake’s unified UI or from any notebook or IDE, using intuitive Python APIs. The Snowflake Model Registry , in general availability, provides a centralized repository to manage all models and their related artifacts and metadata.

Management 115

Management Government Metadata Python 115

ProjectPro

JUNE 6, 2025

PySpark User Defined Functions (UDFs) are custom functions created by users to extend the functionality of PySpark, a Python library for Apache Spark. Expressive Python Syntax: Leveraging PySpark UDFs allows you to use the concise and expressive syntax of Python, enhancing readability and ease of development for complex data processing tasks.

SQL 40

SQL Python Big Data Metadata 40