Christophe Blefari

APRIL 14, 2023

At DoorDash a lot of teams are doing experimentation and they were in need of a common ground between metrics definition. Mainly they define measures, dimensions and metrics in YAML that will be materialised and made accessible to Curie (their experimentation platform). You can see it as a datasets marketplace of common public data.

Datasets 130

Datasets Data Deep Learning SQL 130

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?

Datasets 40

Datasets Machine Learning Retail Banking 40

Towards Data Science

NOVEMBER 4, 2023

Indeed, datalakes can store all types of data including unstructured ones and we still need to be able to analyse these datasets. """DAG definition for recommendation_bespoke model training.""" Tools like Databricks, Tabular and Galaxy try to solve this problem and it really feels like the future.

Data Engineering 86

Data Engineering Data Engineer Engineering BI 86

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

ProjectPro

DECEMBER 7, 2021

It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. It can also be made accessible as an API and distributed to stakeholders. A pipeline may include filtering, normalizing, and data consolidation to provide desired data.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Cloudera

MARCH 27, 2023

Our wizard is Data Governance Director Suvayu Bose (no relation) who employs a very practical approach to data governance: establish C-suite commitment to the program, set strategic goals, identify data owners and data stewards, then get right to negotiating data definitions cross-functionally. That exposed additional db archival targets.

Finance 73

Finance Datasets Data Governance Government 73

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Christophe Blefari

APRIL 21, 2023

Access — you will be able to namespace models with groups and visibility. Data Engineering at Adyen — "Data engineers at Adyen are responsible for creating high-quality, scalable, reusable and insightful datasets out of large volumes of raw data" This is a good definition of one of the possible responsibilities of DE.

Raw Data 130

Raw Data Data Datasets SQL 130

RandomTrees

APRIL 30, 2024

In this ever-changing world of healthcare, technological innovations are continuously changing the definition of what is possible. By using deep learning algorithms and large datasets, researchers can recognize favorable drug candidates more quickly and accurately. It keeps on making impossible things possible.

Medical 52

Medical Healthcare Algorithm Electronics 52

Knowledge Hut

MARCH 27, 2024

These are the situations where having a lot of data stored in one location and being able to access it quickly are necessary. Parameter Database Data Structure Definition A structured collection of data organized for efficient retrieval and management, typically stored in tables. What is a Data Structure?

Database 52

Database Algorithm Relational Database PostgreSQL 52

Monte Carlo

AUGUST 9, 2023

For instance, in the internal reporting example we just described, executive-level stakeholders would likely require quick access to high-level information, with the option to drill down when needed. Understanding your stakeholders helps you plan and develop your data engineering workflows to meet the right needs.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Monte Carlo

MAY 3, 2024

Domain-driven architecture certainly isn’t for everyone…but it’s definitely for someone—and that someone tends to be enterprise organizations with the domain talent and scale to make the best use of it. More data access means more opportunities. And those opportunities can be good or bad depending on how they’re managed.

High Quality Data 52

High Quality Data Data Architecture Media 52

Ascend.io

FEBRUARY 15, 2024

They play a pivotal role in ensuring data consistency, accuracy, and accessibility because they don’t just clone your data once; it’s an ongoing strategy to keep multiple, identical copies of your data in sync across various sources. Large datasets bring challenges in terms of processing power and storage needs.

Datasets 52

Datasets Database Data Warehouse Data 52

Monte Carlo

JANUARY 23, 2024

As the machine became smarter with the next generation of data access, we flattened everything to features and columns. This means that data scientists and engineers will be able to spend less time on painstakingly preparing datasets for analytics or writing complex code. Those who don’t embrace it will be left behind. RAG workflow.

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

RandomTrees

FEBRUARY 2, 2024

GPT-based data engineering accelerators make the working of data more accessible. They use intelligent language interfaces and make data accessible to more people. Generate Code: DataGPT creates code for data pipelines and schema definition. It creates summaries of large datasets and identifies anomalies in data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Netflix Tech

NOVEMBER 13, 2023

Practical use cases for speech & music activity Audio dataset preparation Speech & music activity is an important preprocessing step to prepare corpora for training. Likewise, authoring accessibility-features like Audio Description (AD) involves music and speech segmentation. Let’s have a look at a few applications.

Datasets 89

Datasets Metadata Algorithm Architecture 89

Monte Carlo

FEBRUARY 9, 2024

“If we can quantify the quality of our data that’s used in these semantic models and define these semantic definitions, then we can start enabling our non-technical users to query from that using Co-Pilot,” says Mike. He believes that potential problems arise when there are varying definitions across the organization.

Data 64

Data High Quality Data Architecture Coding 64

Precisely

SEPTEMBER 5, 2023

MDM – Not the Silver Bullet The goal of MDM is to identify, validate, and resolve data issues as close to the source as possible while creating a “Gold Copy” master dataset for downstream systems and services to consume. Here’s what data governance adds to the bigger picture: Definition: What does a particular term mean? Is it shared?

Data Governance 52

Data Governance Government Data Management Management 52

RandomTrees

FEBRUARY 6, 2024

Modernization in Data Engineering with GenAI Generation: The Art of Data Creation: Generative AI has emerged as a potent tool for creating synthetic datasets. Improved data accessibility : Gen AI-powered tools enable business users to access and analyze data independently, reducing dependence on data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

RandomTrees

MARCH 8, 2024

When queries are executed, Snowflake can leverage this clustering to access only the relevant data, minimizing the amount of data scanned and accelerating query performance. Leverage Multi-Clustering: Snowflake allows for the definition of multiple clustering keys on a table. The Benefits of Table Clustering 1.

Data Warehouse 52

Data Warehouse Datasets Retail Big Data 52

Snowflake

SEPTEMBER 5, 2023

Starting from your data in Snowflake, you can quickly spin up a powerful open source LLM (in this case, Llama2) within Snowflake, securely access your data, and accomplish this workflow in minutes. For the context of this walkthrough, we’ll use publicly accessible data so people can try it for themselves. Let’s see how.

Medical 124

Medical Python Government Datasets 124

Netflix Tech

DECEMBER 3, 2022

mock Generate or validate mock datasets. " ) COMMENT "Example dataset brought to you by Dataflow. Workflow Definitions Below you can see a typical file structure of a sample workflow package written in SparkSQL. ??? The main workflow definition file holds the logic of a single run, in this case one day-worth of data.

Data Pipeline 143

Data Pipeline Scala Metadata Food 143

Knowledge Hut

SEPTEMBER 29, 2023

Its records modeling prowess and overall performance with large datasets make it ideal for companies. Power BI vs Excel: Custom Visualizations Power BI: In customization we have definitely Advantages of Power BI over Excel. Collaborators can view and interact with shared reviews, enhancing accessibility and collaboration.

BI 52

BI Business Intelligence Datasets Data Analysis 52

Knowledge Hut

DECEMBER 26, 2023

From the definition as per the official website , PyTorch is an open-source machine learning framework that accelerates the path from research prototyping to production deployment. As per the definition from the official website , TensorFlow is an end-to-end open-source platform for machine learning. What is PyTorch ?

Deep Learning 98

Deep Learning Python Machine Learning Programming Language 98

Towards Data Science

AUGUST 2, 2023

To end I will go through how data products within a data-mesh implementation help us to share the quality level of our data with our users even before accessing the data. Consistency : The level of harmony and conformity of data across different sources or within the same dataset. Timeliness : The measure of how up-to-date the data is.

Building 98

Building Data Consolidation Data Datasets 98

Scott Logic

MAY 31, 2023

For a while now I’ve been keeping a notebook where I record brief definitions of these new terms as I encounter them. The training process for large models involves vast training datasets (many gigabytes of data), and takes weeks or months to process. Alignment - the training datasets for LLMs isn’t curated in any great detail.

Datasets 59

Datasets Media Architecture Finance 59

Knowledge Hut

MARCH 29, 2024

With increasing data, the need to process and accumulate these large datasets becomes very critical. Hence, the organizations have started to leverage Apache Spark to handle Big Data and the processing of these large datasets. Now you will have to sign in again to access the Databricks portal. This will create a Notebook.

Data Lake 52

Data Lake Scala Machine Learning SQL 52

Databand.ai

AUGUST 30, 2023

To maintain data integrity, organizations implement various processes and controls, such as data validation, access controls, backups, and audits. Data validation checks help identify errors and inconsistencies in data, while access controls restrict unauthorized users from accessing or modifying data.

Data Integration 52

Data Integration Data Cleanse Data Validation Data Governance 52

Towards Data Science

MARCH 9, 2023

Datasets containing attributes of Airbnb listings in 10 European cities ¹ will be used to create the same Pipeline in scikit-learn and MLLib. First, let’s load the datasets. link] Finally, we can fit the pipeline into the training dataset and predict the prices for the test dataset listings just like is done with any other model.

Machine Learning 78

Machine Learning Building Datasets Scala 78

DoorDash Engineering

APRIL 12, 2023

The Metrics Layer, also known as a Semantic Layer, is a critical component of the modern data stack that has recently received significant industry attention offers a powerful solution to the challenge of standardizing metric definitions. Lack of governance Our platform lacked governance policies for metric definitions.

SQL 82

SQL Metadata Raw Data Government 82

Knowledge Hut

JANUARY 29, 2024

All cloud models and resources can be accessible from the internet. Access to these resources is possible using any browser software or internet-connected device. Cloud Computing Services can be accessed with the help of the internet. Hybrid Clouds This model refers to a mix of both private clouds and public clouds types.

Cloud Computing 98

Cloud Computing Data Science Cloud Amazon Web Services 98

ProjectPro

MAY 20, 2016

” The Hadoop Definitive Guide by Tom White could be The Guide in fulfilling your dream to pursue a career as a Hadoop developer or a big data professional. What can you expect from the book “Hadoop-The Definitive Guide”? Table of Contents Why Hadoop- The Defintive guide is a must read book for Hadoop?

Hadoop 40

Hadoop Big Data Portfolio Data Ingestion 40

Lyft Engineering

NOVEMBER 29, 2023

Initial Use Case In 2020, while the data platform team was managing Druid, the marketplace team considered a new set of requirements: Data produced is immediately available for querying in near real-time Latencies are sub-second for business dashboarding Ingestion for quick slice and dice of datasets.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Knowledge Hut

FEBRUARY 1, 2024

They hold and transform data, allowing for the execution of algorithms and the management of large datasets. Python scope plays a crucial role in determining where a variable is accessible, defining the context in which a name can be referenced and modified. These are visible and accessed throughout the program.

Python 98

Python Programming Language Programming Algorithm 98

Monte Carlo

FEBRUARY 26, 2024

Data catalogs are important because they allow users of varying types to access useful data quickly and effectively and can help team members collaborate and maintain consistent organization-wide data definitions. Governance can be handled at a granular level and access control becomes part of the custom workflow.

Metadata 52

Metadata Government Data Data Governance 52

Knowledge Hut

SEPTEMBER 27, 2023

external (Enterprise Resource Planning (ERP) systems, marketing platforms, and various datasets. The interface is very user-friendly and as it focuses on making the dashboard and visuals accessible, it doesn’t require only a technical user to perform the task. and the steps included in the form of the tasks.

BI 52

BI Datasets Data Security Data Analysis 52

Knowledge Hut

DECEMBER 22, 2023

A dataset is frequently represented as a matrix. Hadoop enables the clustering of many computers to examine big datasets in parallel more quickly than a single powerful machine for data storage and processing. " Spark, Hadoop, and other frameworks are used to manage large datasets. Non-Technical Data Science Skills 1.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98