Seattle Data Guy

MARCH 31, 2025

RevOps teams want to streamline processes… Read more The post Best Automation Tools In 2025 for Data Pipelines, Integrations, and More appeared first on Seattle Data Guy. But automation isnt just for analytics.

Data Pipeline 195

Data Pipeline Machine Learning Data Process 195

Analytics Vidhya

DECEMBER 30, 2024

How will generative AI shape the tools and processes Data Engineers rely on today? What will data engineering look like in 2025? As the field evolves, Data Engineers are stepping into a future where innovation and efficiency take center stage.

Data Engineering 145

Data Engineering Data Engineer Engineering Utilities 145

Engineering at Meta

JANUARY 22, 2025

This belief has led us to developing Privacy Aware Infrastructure (PAI) , which offers efficient and reliable first-class privacy constructs embedded in Meta infrastructure to address different privacy requirements, such as purpose limitation , which restricts the purposes for which data can be processed and used. Hack, C++, Python, etc.)

Data Warehouse 115

Data Warehouse SQL Programming Language Data 115

Monte Carlo

NOVEMBER 12, 2024

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. And who better to learn from than the tech giants who process more data before breakfast than most companies see in a year?

Architecture 96

Architecture Data Engineering Data Engineer Engineering 96

The Pragmatic Engineer

APRIL 21, 2024

Other shipped things include  DALL·E 3  (image generation,)  GPT-4  (an advanced model,) and the  OpenAI API  which developers and companies use to integrate AI into their processes. Each word that spits out of ChatGPT is this same process repeated over and over again many times per second.

Engineering 363

Engineering Software Engineering Software Engineer Programming 363

Waitingforcode

FEBRUARY 18, 2025

These limits become even more serious when they operate in a latency-sensitive context, as the one of stream processing. From another, they often have quotas and limits that you, as a data engineer, have to take into account in your daily work.

Data Engineering 130

Data Engineering Data Engineer Cloud Data 130

Analytics Vidhya

FEBRUARY 28, 2023

A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud.

Big Data 312

Big Data Machine Learning Cloud Data Process 312

The Pragmatic Engineer

NOVEMBER 21, 2023

Avoiding downtime was nerve-wracking, and the notion of a 'rollback' was as much a relief as a technical process.  After this zero-byte file was deployed to prod, the Apache web server processes slowly picked up the empty configuration file. Our deployments were initially manual. Apache started to log like a maniac.

Engineering 345

Engineering Bytes Cloud Computing AWS 345

Netflix Tech

NOVEMBER 12, 2024

Introducing sufficient jitter to the flush process can further reduce contention. By creating multiple topic partitions and hashing the counter key to a specific partition, we ensure that the same set of counters are processed by the same set of consumers. This process can also be used to track the provenance of increments.

Datasets 101

Datasets Computer Science Systems Kafka 101

Simon Späti

MARCH 11, 2025

Therefore, you’ve probably come across terms like OLAP (Online Analytical Processing) systems, data warehouses, and, more recently, real-time analytical databases. But data volumes grow, analytical demands become more complex, and Postgres stops being enough.

Database 130

Database Data Warehouse Data Engineering Data Engineer 130

Start Data Engineering

MAY 28, 2024

Use DuckDB to process data, not for multiple users to access data 4.2. Cost calculation: DuckDB + Ephemeral VMs = dirt cheap data processing 4.3. Processing data less than 100GB? Introduction 2. Project demo 3. Building efficient data pipelines with DuckDB 4.1. Use DuckDB 4.4.

Data Pipeline 219

Data Pipeline Python Building Data 219

Snowflake

NOVEMBER 6, 2024

But getting a handle on all the emails, calls and support tickets had historically been a tedious and largely manual process. After migrating all of its historical feedback data to Snowflake, however, Advisor360° created an automated pipeline using Cortex AI to cover that end-to-end process of gauging customer sentiment.

Hospitality 96

Hospitality Medical Government Software Engineering 96

Analytics Vidhya

FEBRUARY 28, 2023

Each aspect of data science, like data preparation, the importance of big data, and the process of automation, contributes to how data science is the future […] The post 30 Best Data Science Books to Read in 2023 appeared first on Analytics Vidhya.

Data Science 290

Data Science Data Preparation Big Data Data 290

Simon Späti

FEBRUARY 25, 2023

It’s a tale of finding my Pathless Path and discovering who I am in the process. As I sit down to write this article, I’m filled with a sense of vulnerability and excitement. You see, this is a story that only I can tell. Along the way, I discovered the importance of staying flexible and adaptable.

Process 289

Process IT 289

Snowflake

NOVEMBER 11, 2024

Here’s how Snowflake Cortex AI and Snowflake ML are accelerating the delivery of trusted AI solutions for the most critical generative AI applications: Natural language processing (NLP) for data pipelines: Large language models (LLMs) have a transformative potential, but they often batch inference integration into pipelines, which can be cumbersome.

Unstructured Data 98

Unstructured Data SQL AWS Healthcare 98

Analytics Vidhya

FEBRUARY 7, 2023

Introduction Data engineering is the field of study that deals with the design, construction, deployment, and maintenance of data processing systems. The goal of this domain is to collect, store, and process data efficiently and efficiently so that it can be used to support business decisions and power data-driven applications.

Data Engineering 248

Data Engineering Data Engineer Engineering Data 248

Snowflake

MARCH 31, 2025

For image data, running distributed PyTorch on Snowflake ML also with standard settings resulted in over 10x faster processing for a 50,000-image dataset when compared to the same managed Spark solution. Many enterprises are already using Container Runtime to cost-effectively build advanced ML use cases with easy access to GPUs.

Healthcare 93

Healthcare Medical Government Food 93

Analytics Vidhya

FEBRUARY 13, 2023

Introduction Every data scientist demands an efficient and reliable tool to process this big unstoppable data. Today we discuss one such tool called Delta Lake, which data enthusiasts use to make their data processing pipelines more efficient and reliable.

Data Process 242

Data Process Process Data Data Warehouse 242

Analytics Vidhya

FEBRUARY 23, 2023

It is so extensive and diverse that traditional data processing methods cannot handle it. The volume, velocity, and variety of Big Data can make it difficult to process and analyze. Introduction Big Data is a large and complex dataset generated by various sources and grows exponentially.

Big Data Tools 242

Big Data Tools Big Data Datasets Data 242

Analytics Vidhya

MARCH 4, 2025

But processing large-scale data across different systems is often slow. Constant format conversions add processing time and memory overhead. Data is at the core of everything, from business decisions to machine learning. Traditional row-based storage formats struggle to keep up with modern analytics.

Machine Learning 100

Machine Learning Systems Process Data 100

The Pragmatic Engineer

OCTOBER 17, 2024

Code and raw data repository:   Version control: GitHub Heavily using GitHub Actions for things like getting warehouse data from vendor APIs, starting cloud servers, running benchmarks, processing results, and cleaning up after tuns. Internal comms: Chat: Slack Coordination / project management: Linear 3.

Cloud 332

Cloud AWS Metadata Cloud Computing 332

Engineering at Meta

FEBRUARY 4, 2025

In this context, an individual data log entry is a formatted version of a single row of data from Hive that has been processed to make the underlying data transparent and easy to understand. Once the batch has been queued for processing, we copy the list of user IDs who have made requests in that batch into a new Hive table.

Accessibility 85

Accessibility Accessible Raw Data Data Warehouse 85

DataKitchen

NOVEMBER 5, 2024

The Medallion architecture is a design pattern that helps data teams organize data processing and storage into three distinct layers, often called Bronze, Silver, and Gold. By methodically processing data through Bronze, Silver, and Gold layers, this approach supports a variety of use cases. Bronze layers should be immutable.

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

Engineering at Meta

APRIL 28, 2025

Specifically, we have adopted a “shift-left” approach, integrating data schematization and annotations early in the product development process. However, conducting these processes outside of developer workflows presented challenges in terms of accuracy and timeliness.

Metadata 79

Metadata Data Utilities Data Warehouse 79

Start Data Engineering

SEPTEMBER 18, 2024

Identify what tool to use to process data 3.3. Define what the output dataset will look like 3.1.3. Define SLAs so stakeholders know what to expect 3.1.4. Define checks to ensure the output dataset is usable 3.2. Data flow architecture 3.

Project 240

Project Building Datasets Architecture 240

Jesse Anderson

FEBRUARY 11, 2025

Discover the insights he gained from academia and industry, his perspective on the future of data processing and the story behind building a next-generation graph database. Semih explains how Kuzu addresses the challenges of large graph analytics, the benefits of embeddability, and its potential for applications in AI and beyond.

Computer Science 130

Computer Science Database Design Software Engineering Software Engineer 130

Cloudera

NOVEMBER 13, 2024

The end-to-end lineage also automates tasks such as predicting the impact of a process change, analyzing the impact of a broken process, discovering parallel processes performing the same tasks, and performing root cause analysis to uncover the source of reporting errors.

Metadata 90

Metadata Management Data Governance Government 90

Snowflake

MARCH 6, 2025

Customer intelligence teams analyze reviews and forum comments to identify sentiment trends, while support teams process tickets to uncover product issues and inform gaps in a product roadmap. As data volumes grow and AI automation expands, cost efficiency in processing with LLMs depends on both system architecture and model flexibility.

Unstructured Data 95

Unstructured Data Medical Media Data Workflow 95

Precisely

JANUARY 30, 2025

Recognize that artificial intelligence is a data governance accelerator and a process that must be governed to monitor ethical considerations and risk. Align people, processes, and technology Successful data governance requires a holistic approach. Tools are important, but they need to complement your strategy.

Data Governance 102

Data Governance Government Metadata Data 102

KDnuggets

MAY 5, 2025

Learn how to implement a parallelization process in your data pipeline.

Data Pipeline 90

Data Pipeline Building Data Process 90