Analytics Vidhya

FEBRUARY 6, 2023

It is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers. It provides high-throughput access to data and is optimized for […] The post A Dive into the Basics of Big Data Storage with HDFS appeared first on Analytics Vidhya.

Data Storage 187

Data Storage Big Data Hadoop Datasets 187

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 82

Healthcare Medical Government Food 82

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

Data Engineering Weekly

JANUARY 15, 2025

Images and Videos: Computer vision algorithms must analyze visual content and deal with noisy, blurry, or mislabeled datasets. To safeguard sensitive information, compliance with frameworks like GDPR and HIPAA requires encryption, access control, and anonymization techniques.

Data Engineering 62

Data Engineering Data Engineer Unstructured Data Engineering 62

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

Engineering at Meta

JANUARY 22, 2025

However, these tools are limited by their lack of access to runtime data, which can lead to false positives from unexecuted code. Improving consumption experience : streamline the consumption experience to make it easier for developers and stakeholders to access and utilize data lineage information.

Data Warehouse 109

Data Warehouse SQL Programming Language Data 109

KDnuggets

MARCH 13, 2023

Use these tools to Access API, Manipulate CSV files, download datasets, and more from your terminal.

Data Science 157

Data Science Datasets Accessible Accessibility 157

Precisely

FEBRUARY 20, 2025

It enables faster decision-making, boosts efficiency, and reduces costs by providing self-service access to data for AI models. Data integration breaks down data silos by giving users self-service access to enterprise data, which ensures your AI initiatives are fueled by complete, relevant, and timely information.

Data Integration 69

Data Integration Government Datasets Data Pipeline 69

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 70

Entertainment Retail Education Datasets 70

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. These formats are transforming how organizations manage large datasets. Though basic and easy to use, traditional table storage formats struggle to keep up. Why are They Essential?

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Precisely

DECEMBER 12, 2024

By training AI models on such a broad dataset, organizations can create more balanced models that account for a variety of outcomes rather than reinforcing recent trends that might be biased. Contextual Insights Historical data from mainframes provides context that is often missing in newer datasets.

Healthcare 64

Healthcare Algorithm Finance Data Integration 64

The Pragmatic Engineer

APRIL 6, 2023

Our hope is that making salary ranges more accessible on Comprehensive.io Most jobs vendors have a ton of ‘junk jobs,’ so we spent a fair bit of time culling the dataset to jobs that are unique. During processing, we match companies, titles and more, with our dataset. ” How does Comprehensive.io

Software Engineer 217

Software Engineer Software Engineering Datasets Database 217

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. Once we access the task instance object, we can call xcom_push.

MySQL 246

MySQL Data Pipeline Database Python 246

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 71

Unstructured Data Government SQL Structured Data 71

KDnuggets

APRIL 20, 2022

One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code.

Coding 140

Coding Datasets Machine Learning Accessible 140

Netflix Tech

FEBRUARY 14, 2025

Architecture Overview The first pivotal step in managing impressions begins with the creation of a Source-of-Truth (SOT) dataset. This foundational dataset is essential, as it supports various downstream workflows and enables a multitude of usecases.

Kafka 66

Kafka Datasets Metadata Utilities 66

KDnuggets

APRIL 8, 2024

Access Mistral’s latest open-source model and fine-tune it on a custom dataset.

Datasets 125

Datasets Accessible Accessibility IT 125

Data Engineering Weekly

MARCH 2, 2025

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!! Whether you use Datasets already or want to get started, we've got you covered! link] Mehdio: DuckDB goes distributed?

Data Engineering 62

Data Engineering Data Engineer Engineering Datasets 62

Monte Carlo

NOVEMBER 21, 2024

The data teams were maintaining 30,000 datasets, and often found anomalies or issues that had gone unnoticed for months. This meant business teams were operating with less-than-ideal data, and once an incident was detected, the team had to spend painstaking hours reassembling and backfilling datasets.

Government 52

Government Datasets Data Governance Data 52

Monte Carlo

NOVEMBER 21, 2024

The data teams were maintaining 30,000 datasets, and often found anomalies or issues that had gone unnoticed for months. This meant business teams were operating with less-than-ideal data, and once an incident was detected, the team had to spend painstaking hours reassembling and backfilling datasets.

Government 52

Government Datasets Data Governance Data 52

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! As always, I have not been paid to write about this company and have no affiliation with it – see more in my ethics statement.

Cloud 314

Cloud AWS Metadata Cloud Computing 314

Ascend.io

NOVEMBER 14, 2024

These platforms enable scalable and distributed data processing, allowing data teams to efficiently handle massive datasets. Leverage Built-In Partitioning Features: Use built-in features provided by databases like Snowflake or Databricks to automatically partition large datasets.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

Start Data Engineering

JUNE 30, 2023

Creating dataset(s) 3.1.1. Accessing data 3.3. Introduction 2. What is self-serve? Components of a self-serve platform 3. Building a self-serve data platform 3.1. Gather requirements 3.1.2. Get data foundations right 3.2. Identify and remove dependencies 4. Conclusion 5. Further reading 6. References 1.

Building 130

Building Datasets Data Accessible 130

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

Ascend.io

OCTOBER 28, 2024

Filling in missing values could involve leveraging other company data sources or even third-party datasets. Data Normalization Data normalization is the process of adjusting related datasets recorded with different scales to a common scale, without distorting differences in the ranges of values.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

Cloudyard

MARCH 6, 2025

However, a common challenge arises: Hardcoded role names in masking policies make managing access permissions cumbersome. Not scalable Managing multiple policies across different datasets is tedious. Two separate UDFs determine if a user has full access or partial access.

Accessible 52

Accessible Accessibility Datasets Data Security 52

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

Pinterest Engineering

NOVEMBER 18, 2024

This is particularly useful in environments where multiple applications need to access and process the same data. Near Real-Time Database Ingestion: We are developing a near real-time database ingestion system, utilizing CDC, to ensure timely data accessibility and efficient decision-making.

Kafka 50

Kafka MySQL Database Software Engineer 50

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

Precisely

NOVEMBER 18, 2024

Ultimately, they are trying to serve data in their marketplace and make it accessible to business and data consumers,” Yoğurtçu says. With the rise of cloud-based data management, many organizations face the challenge of accessing both on-premises and cloud-based data. However, they require a strong data foundation to be effective.

Data Analytics 72

Data Analytics Data Governance Data Integration Government 72

Netflix Tech

MARCH 28, 2025

This scenario underscored the need for a new recommender system architecture where member preference learning is centralized, enhancing accessibility and utility across different models. Furthermore, it was difficult to transfer innovations from one model to another, given that most are independently trained despite using common data sources.

Metadata 66

Metadata Bytes Entertainment Data Mining 66

Precisely

FEBRUARY 26, 2025

These enhancements improve data accessibility, enable business-friendly governance, and automate manual processes. Many businesses face roadblocks within their critical enterprise data, including struggles to achieve greater accessibility, business-friendly governance, and automation.

Data Integration 64

Data Integration Data Management Management Data Governance 64

Towards Data Science

JANUARY 27, 2025

Project explanation The dataset for this project was reading data from my personal Goodreads account; it can be downloaded from my GitHub repo. If you use Goodreads, you can export your own data in CSV format, substitute it for the dataset provided, and explore it with the code for this tutorial. build(model).run()

Building 53

Building Datasets Coding Data 53

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. Go here for the query Data and Workflow Management A couple queries to help manage your data and workflows on Databricks. Where are they stored?

SQL 52

SQL Datasets Utilities Accessible 52

Cloudera

SEPTEMBER 18, 2024

InDaiX provides data consumers with unparalleled flexibility and scalability, streamlining how businesses, researchers, and developers access and integrate diverse data sources and AI foundational models, expediting the process of Generative AI (GenAI) adoption.

Datasets 91

Datasets Retail Healthcare Finance 91

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

Cloudera

FEBRUARY 22, 2022

The data architecture layer is one such area where growing datasets have pushed the limits of scalability and performance. The data explosion has to be met with new solutions, that’s why we are excited to introduce the next generation table format for large scale analytic datasets within Cloudera Data Platform (CDP) – Apache Iceberg.

Metadata 110

Metadata Datasets BI SQL 110