Pinterest Engineering

JULY 25, 2023

Each dataset needs to be securely stored with minimal access granted to ensure they are used appropriately and can easily be located and disposed of when necessary. As businesses grow, so does the variety of these datasets and the complexity of their handling requirements.

Big Data 98

Big Data Accessible Accessibility Hadoop 98

The Pragmatic Engineer

OCTOBER 17, 2024

The startup was able to start operations thanks to getting access to an EU grant called NGI Search grant. The historical dataset is over 20M records at the time of writing! They use GitHub Actions and Pulumi templates to kick off benchmark tasks: that plumbing code to start benchmarking can be found in the sc-runner repo.

Cloud 326

Cloud AWS Metadata Cloud Computing 326

KDnuggets

OCTOBER 30, 2024

Each project, from beginner tasks like Image Classification to advanced ones like Anomaly Detection, includes a link to the dataset and source code for easy access and implementation.

Project 151

Project Datasets Coding Accessible 151

DataKitchen

NOVEMBER 5, 2024

This architecture is valuable for organizations dealing with large volumes of diverse data sources, where maintaining accuracy and accessibility at every stage is a priority. The Silver layer aims to create a structured, validated data source that multiple organizations can access. How do you ensure data quality in every layer ?

Architecture 78

Architecture Raw Data Pipeline-centric Data Ingestion 78

Knowledge Hut

JUNE 26, 2023

Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2. Source Code: Extracting Inflation Rates from CommonCrawl and Building a Model B.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Netflix Tech

DECEMBER 17, 2024

Metric definitions are often scattered across various databases, documentation sites, and code repositories, making it difficult for analysts and data scientists to find reliable information quickly. Enter DataJunction (DJ). For example, LORE provides human-readable reasoning on how it arrived at the answer that users can cross-verify.

Engineering 85

Engineering Entertainment Amazon Web Services Utilities 85

Precisely

APRIL 7, 2025

After my (admittedly lengthy) explanation of what I do as the EVP and GM of our Enrich business, she summarized it in a very succinct, but new way: “Oh, you manage the appending datasets.” Matching accuracy: Matching records between datasets is complex. ” That got me thinking.

Retail 73

Retail Datasets Data Portfolio 73

Marc Lamberti

SEPTEMBER 22, 2023

Let’s imagine you have the following data pipeline: In a nutshell, this data pipeline trains different machine learning models based on a dataset and the last task selects the model with the highest accuracy. To access XComs, go to the user interface, then Admin and XComs. and put the code in it. How to use XCom in Airflow?

MySQL 246

MySQL Data Pipeline Database Python 246

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. Secure access to open source repositories via pip and the ability to bring in any model from hubs such as Hugging Face (see example here ).

Healthcare 93

Healthcare Medical Government Food 93

Snowflake

FEBRUARY 12, 2025

Agents need to access an organization's ever-growing structured and unstructured data to be effective and reliable. As data connections expand, managing access controls and efficiently retrieving accurate informationwhile maintaining strict privacy protocolsbecomes increasingly complex. text, audio) and structured (e.g.,

Unstructured Data 83

Unstructured Data Government SQL Structured Data 83

Edureka

MARCH 15, 2025

By learning the details of smaller datasets, they better balance task-specific performance and resource efficiency. It is seamlessly integrated across Meta’s platforms, increasing user access to AI insights, and leverages a larger dataset to enhance its capacity to handle complex tasks. What are Small language models?

Entertainment 74

Entertainment Retail Education Datasets 74

Precisely

MARCH 20, 2025

This includes accelerating data access and, crucially, enriching internal data with external information. Data enrichment is the process of augmenting your organizations internal data with trusted, curated third-party datasets. You can feel secure knowing that all data you access has met rigorous criteria on these fronts.

Insurance 67

Insurance Datasets Data Programming 67

Knowledge Hut

MAY 3, 2024

Any coding interview is a test that primarily focuses on your technical skills and algorithm knowledge. The type of interview you might face can be a remote coding challenge, a whiteboard challenge or a full day on-site interview. So, if you can prove your coding skills learnt in your python programming classes in the interview.

Python 98

Python Coding Data Programming 98

dbt Developer Hub

APRIL 20, 2025

dbt is the standard for creating governed, trustworthy datasets on top of your structured data. We are committed to building the data control plane that enables AI to reliably access structured data from across your entire data lineage. The dbt MCP server provides access to a set of tools that operate on top of your dbt project.

Structured Data 98

Structured Data SQL BI Project 98

Monte Carlo

NOVEMBER 21, 2024

Michael then managed to color-code the different lines for the major data sets. “It The data teams were maintaining 30,000 datasets, and often found anomalies or issues that had gone unnoticed for months. We had 30k datasets and needed to focus on the most important business use cases,” Michael said in London. “We

Government 52

Government Datasets Data Governance Data 52

Monte Carlo

NOVEMBER 21, 2024

Michael then managed to color-code the different lines for the major data sets. “It The data teams were maintaining 30,000 datasets, and often found anomalies or issues that had gone unnoticed for months. We had 30k datasets and needed to focus on the most important business use cases,” Michael said in London. “We

Government 52

Government Datasets Data Governance Data 52

Data Engineering Weekly

MARCH 2, 2025

As a special perk for Data Engineering Weekly subscribers, you can use the code dataeng20 for an exclusive 20% discount on tickets! I found the blog to be a fresh take on the skill in demand by layoff datasets. Our internal benchmark of the NYC dataset shows a 48% performance gain of smallpond over Spark!!

Data Engineering 62

Data Engineering Data Engineer Engineering Datasets 62

Towards Data Science

JANUARY 27, 2025

It uses a low-code approach to prototype the dashboard using natural language prompts to an open source tool, which generates Plotly charts that can be added to a template dashboard. Finally, the generated dashboard code is added to a shared project that can be tweaked to improve the prototype. None of the free accounts will suffice.

Building 53

Building Datasets Coding Data 53

Azure Data Engineering

JULY 16, 2022

As seen in the screenshot below, the main settings for the web activity are as follows: Azure Data Factory: Web Activity URL: This is the REST API endpoint address that we would like to access/invoke. Datasets: Datasets that we would like to pass to the REST API. Method: REST API method for the endpoint e.g. GET, POST, PUT etc.

Datasets 130

Datasets Certification Data Coding 130

Data Engineering Podcast

MAY 26, 2024

This episode is supported by Code Comments, an original podcast from Red Hat. In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. My thanks to the team at Code Comments for their support.

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Ascend.io

DECEMBER 4, 2024

Are your tools simple to implement and accessible to users with diverse skill sets? Embrace Version Control for Data and Code: Just as software developers use version control for code, DataOps involves tracking versions of datasets and data transformation scripts.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Snowflake

APRIL 24, 2024

Members of the Snowflake AI Research team pioneered systems such as ZeRO and DeepSpeed , PagedAttention / vLLM , and LLM360 which significantly reduced the cost of LLM training and inference, and open sourced them to make LLMs more accessible and cost-effective for the community. license provides ungated access to weights and code.

Amazon Web Services 145

Amazon Web Services SQL AWS Architecture 145

Christophe Blefari

APRIL 14, 2023

Mainly they define measures, dimensions and metrics in YAML that will be materialised and made accessible to Curie (their experimentation platform). Cybersyn is a data-as-a-service platform that provides public datasets for everyone. You can see it as a datasets marketplace of common public data. Rupert raises $8m in funding.

Datasets 130

Datasets Data Deep Learning SQL 130

Knowledge Hut

FEBRUARY 29, 2024

Then, based on this information from the sample, defect or abnormality the rate for whole dataset is considered. Hypothesis testing is a part of inferential statistics which uses data from a sample to analyze results about whole dataset or population. While using Amazon SageMaker datasets are quick to access and load.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

François Nguyen

MARCH 22, 2021

” Code : all the code necessary to build a data product (data pipelines, API, policies). Data As Code is a very strong choice : we do not want any UI because it is an heritage of the ETL period. What you have to code is this workflow ! And of course, because everything is code, you have all the devops tools.

Technology 130

Technology Architecture Google Cloud Metadata 130

Maxime Beauchemin

AUGUST 28, 2017

Change Management Given that useful datasets become widely used and derived in ways that results in large and complex directed acyclic graphs (DAGs) of dependencies, altering logic or source data tends to break and/or invalidate downstream constructs. Upstream changes will inevitably break and invalidate downstream entities in intricate ways.

Data Engineering 174

Data Engineering Data Engineer Engineering Software Engineer 174

Engineering at Meta

AUGUST 27, 2024

This approach involves using simple if statements in code (“code assets”) or access control mechanisms for datasets (“data assets”) in data systems. Addressing these risks requires implementing resource-intensive human audits at access points.

Programming Language 125

Programming Language Coding Data Warehouse Systems 125

Towards Data Science

MARCH 9, 2023

Code implementations for ML pipelines: from raw data to predictions Photo by Rodion Kutsaiev on Unsplash Real-life machine learning involves a series of tasks to prepare the data before the magic predictions take place. First, let’s load the datasets. Source: The author.

Machine Learning 98

Machine Learning Building Datasets Big Data 98

Precisely

NOVEMBER 21, 2024

That’s where low-code/no-code automation platforms come into play, enabling your business teams – particularly citizen developers – to design and optimize processes without deep technical expertise. This relationship is particularly important in SAP® environments, where data and processes must work together seamlessly at scale.

Data Integration 57

Data Integration High Quality Data Data Manufacturing 57

Cloudera

FEBRUARY 1, 2022

AMPs are developed by ML research engineers at Cloudera’s Fast Forward Labs , and as a result they are a great source for ML best practices and code snippets. If you do not have access to CDSW or CML, the AMP github repo has a README with instructions for getting up and running in any environment. Launch the AMP.

Deep Learning 111

Deep Learning Datasets Coding Machine Learning 111

Data Engineering Weekly

MARCH 5, 2025

In the mid-2000s, Hadoop emerged as a groundbreaking solution for processing massive datasets. Iceberg: The Modern Contender Apache Iceberg enters the scene as a modern table format designed for massive analytic datasets. It promised to address key pain points: Scaling: Handling ever-increasing data volumes.

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

Ascend.io

DECEMBER 4, 2024

Are your tools simple to implement and accessible to users with diverse skill sets? Embrace Version Control for Data and Code: Just as software developers use version control for code, DataOps involves tracking versions of datasets and data transformation scripts.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Netflix Tech

DECEMBER 3, 2022

mock Generate or validate mock datasets. One of the main reasons this feature exists is just like with food samples, to give you “a taste” of the production quality ETL code that you could encounter inside the Netflix data ecosystem. " , country_code STRING COMMENT "Country code of the playback session."

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

Data Engineering Weekly

FEBRUARY 2, 2025

Streamline code deployment, enhance collaboration, and ensure DevOps best practices with Astro's robust CI/CD capabilities. All these efforts aim to maintain high standards for code generation and assistance. Automate Airflow deploys with built-in CI/CD.

Data Engineering 57

Data Engineering Data Engineer Engineering Data Lake 57

Rockset

MARCH 1, 2023

OLTP databases aren’t built to ingest massive volumes of data streams and perform stream processing on incoming datasets. Rockset’s distributed SQL engine accesses data from the relevant RocksDB instance during query processing. So they are not suitable for real-time analytics.

Data Ingestion 144

Data Ingestion Database Architecture SQL 144

Sync Computing

FEBRUARY 4, 2025

What are my most commonly used datasets? Knowing which of your datasets is used the most is crucial for optimizing data access and storage. Identifying performance bottlenecks is key to keeping your data infrastructure efficient and responsive. Where are they stored? Visualize all the data lineage in your workspace.

SQL 52

SQL Datasets Utilities Accessible 52

LinkedIn Engineering

APRIL 4, 2023

It visualizes developer experience and happiness metrics describing key developer activities such code building, reviewing, publishing, as well as the sentiment towards the tools being used. We wanted to create a data platform that allowed us to onboard new metrics with no code changes. from the metric’s processing logic (i.e.

MySQL 122

MySQL Datasets Software Engineer Software Engineering 122