AltexSoft

OCTOBER 18, 2022

In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve. At the same time, de-identification only encrypts personal details and hides them in separate datasets. Medical datasets comparison chart .

Medical 52

Medical Datasets Machine Learning Hospitality 52

Precisely

APRIL 11, 2023

Do I have access to the data? What do I need to do to access the data now and make it easy to find and access in the future? It’s critical that business analysts have the data they need and that IT has the appropriate metadata associated with those datasets for seamless replication into the cloud.

Accessibility 52

Accessibility Accessible Metadata Data Integration 52

Netflix Tech

OCTOBER 16, 2019

By Ammar Khaku Introduction In a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. One example displaying the need for dataset propagation: at any given time Netflix runs a very large number of A/B tests.

Datasets 76

Datasets Metadata Bytes Machine Learning 76

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 129

Project Datasets Coding Accessible 129

ProjectPro

JANUARY 15, 2021

And honestly, there are a lot of real-world machine learning datasets around you that you can opt to start practicing your fundamental data science and machine learning skills, even without having to complete a comprehensive data science or machine learning course. Table of Contents What is a dataset in machine learning?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

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 84

Datasets Retail Healthcare Finance 84

Cloudera

NOVEMBER 13, 2024

Several LLMs are publicly available through APIs from OpenAI , Anthropic , AWS , and others, which give developers instant access to industry-leading models that are capable of performing most generalized tasks. Fine Tuning Studio enables users to track the location of all datasets, models, and model adapters for training and evaluation.

Datasets 61

Datasets Machine Learning Coding Data Preparation 61

ProjectPro

FEBRUARY 5, 2021

Nonetheless, it is an exciting and growing field and there can't be a better way to learn the basics of image classification than to classify images in the MNIST dataset. Table of Contents What is the MNIST dataset? Test the Trained Neural Network Visualizing the Test Results Ending Notes What is the MNIST dataset?

Datasets 40

Datasets Deep Learning Medical Algorithm 40

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 185

Data Storage Big Data Hadoop Datasets 185

Netflix Tech

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Bytes 94

Bytes Datasets Metadata Data 94

Netflix Tech

NOVEMBER 12, 2024

However, this category requires near-immediate access to the current count at low latencies, all while keeping infrastructure costs to a minimum. The Counter Abstraction API resembles Java’s AtomicInteger interface: AddCount/AddAndGetCount : Adjusts the count for the specified counter by the given delta value within a dataset.

Datasets 89

Datasets Computer Science Systems Kafka 89

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

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

Snowflake

OCTOBER 7, 2024

However, this often introduces the complexity of managing additional infrastructure for feature authoring, building and maintaining update pipelines, and establishing workflows to access consistent and fresh features. Snowflake Dataset is a new schema-level object specially designed for machine learning workflows.

Management 78

Management Building Datasets Government 78

Snowflake

JUNE 28, 2023

External Network Access (PrPr) – Allows users to seamlessly connect to external endpoints from their Snowpark code (UDFs/UDTFs and Stored procedures) while maintaining high security and governance. Modeling: Train models for popular scikit-learn and xgboost models directly on data in Snowflake.

Python 52

Python Accessibility Accessible Pipeline-centric 52

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

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

Edureka

AUGUST 27, 2024

Data access and transfer have become critical since there is a rising trend of using both on-premises and cloud data forms in an organization. As a result, it can participate in the access of data without posing any threat. It then decrypts the credentials for an on-premises data source to authenticate and gain access to the data.

BI 52

BI Datasets Cloud SQL 52

Data Engineering Weekly

NOVEMBER 11, 2024

The author outlines a seven-step process, starting with identifying a Principal Domain Expert, generating diverse datasets, and having the expert provide detailed critiques alongside pass/fail judgments. The blog is an excellent overview of building dynamic data pipelines with Airflow datasets and pub/sub. What are you waiting for?

Data Engineering 57

Data Engineering Data Engineer Engineering Datasets 57

Hevo

NOVEMBER 15, 2024

Accessing and performing large volumes of data is crucial in data analytics and engineering. As datasets grow larger and more complex, executing queries repeatedly can become a bottleneck, slowing down data analysis and decision-making.

Datasets 40

Datasets Data Analysis Data Analytics Database 40

ThoughtSpot

MARCH 5, 2024

These tables provide a centralized location to host both your raw data and transformed datasets optimized for AI-powered analytics with ThoughtSpot. Grant ThoughtSpot access In Snowflake, grant the ThoughtSpot service account USAGE privileges on the schemas containing the dynamic tables. Set refresh schedules as needed.

BI 111

BI Datasets Raw Data SQL 111

KDnuggets

MARCH 13, 2023

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

Data Science 155

Data Science Datasets Accessible Accessibility 155

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 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

Engineering at Meta

NOVEMBER 12, 2024

The Folly library Internally, our buffering makes use of the folly::ConcurrentHashMap , which is built to be performant under heavy writes in multithreaded environments, while still guaranteeing atomic accesses. Promoting infrastructure reliability Our root dataset has also served as a useful proxy for client health. cold storage).

Algorithm 70

Algorithm Datasets Coding Java 70

ThoughtSpot

NOVEMBER 13, 2024

With Spotter as your AI Analyst, anyone can discover decision-ready insights on any dataset, for any question—all while ensuring enterprise-grade governance and trust. While that has a nice ring to it, providing accessible, reliable AI to everyone is a lofty goal. Let’s take a closer look. Spotter is AI for all of us.”

SQL 59

SQL Datasets Cloud Computing BI 59

Monte Carlo

JULY 22, 2024

Data versioning is the practice of tracking and managing changes to datasets over time. It involves: Capturing snapshots of datasets at different points in time. Providing mechanisms to access and compare different versions. Ensure end-to-end data lineage and traceability as datasets evolve and move through your pipelines.

Metadata 52

Metadata Datasets ETL Tools Data 52

Precisely

SEPTEMBER 19, 2024

Let’s examine these measures more closely: Data privacy: Implement strict access control policies and mask personally identifiable information (PII) data to protect sensitive information. To minimize bias, you need to ensure a balanced, diverse, and representative training dataset,” explains Budalescu.

Data Governance 78

Data Governance Government High Quality Data Datasets 78

Pinterest Engineering

JANUARY 4, 2024

It is written in C++ and offers bindings for several programming languages, making it accessible for developers in different environments. Individual rows constitute a dataset. Row key uniquely identifies a row in a dataset. RocksDB is a single node key value store. Row consists of pairs of column names and values called items.

Database 93

Database Building Datasets Relational Database 93

Knowledge Hut

MAY 2, 2024

and perform various operations on the dataset like cleaning and processing the data, visualizing and predicting the output of the data. a) Descriptive Statistics Concerned with describing and summarizing the target population It works on a small dataset. It works on a large dataset. which are the measures of Variability.

Machine Learning 98

Machine Learning Algorithm Datasets Python 98

Precisely

JULY 12, 2024

Unique: Unique datasets are free of redundant or extraneous entries. Consistent: Data is consistently represented in a standard way throughout the dataset. That means having large enough datasets to accurately represent the information in question, including information on all relevant fields.

Data Integration 105

Data Integration Datasets Data Data Governance 105

Knowledge Hut

APRIL 23, 2024

It involves processing and analyzing massive datasets that cannot be managed with traditional data processing techniques. It involves working with datasets that can be managed using standard hardware and software without the need for complex infrastructure.

Big Data 52

Big Data Datasets Data Analysis Media 52

Monte Carlo

OCTOBER 2, 2024

This involves documenting many parts of the data’s journey, including where it was stored, who owned it , and how it was uploaded, modified, and accessed. An example of a data lineage interface from Monte Carlo.

Python 52

Python Datasets Metadata Data 52

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 138

Coding Datasets Machine Learning Accessible 138

KDnuggets

APRIL 8, 2024

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

Datasets 100

Datasets Accessible Accessibility IT 100

Striim

OCTOBER 21, 2024

Accessing Real-Time Data: Shifting from batch processing to real-time data access, enabling faster decision-making and improved operational efficiency. Improving On-Shelf Availability: Ensuring products are consistently in stock and accessible to customers.

Google Cloud 52

Google Cloud Retail Data Warehouse Food 52

Databand.ai

MAY 30, 2023

With access to accurate and dependable data, business leaders can make informed decisions that promote growth and profitability. Scope: Data quality primarily deals with dataset content, while data integrity is more concerned with the overall system architecture and processes that ensure consistency across different platforms or applications.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Netflix Tech

SEPTEMBER 18, 2024

Second, developers had to constantly re-learn new data modeling practices and common yet critical data access patterns. This abstraction simplifies data access, enhances the reliability of our infrastructure, and enables us to support the broad spectrum of use cases that Netflix demands with minimal developer effort.

Bytes 99

Bytes Metadata Database Data 99