Snowflake

AUGUST 22, 2024

Connected TV, video and social media channels are fueling the growth as digital channels will account for 64% of ad spend. Gen AI can help cut down on time and costs by processing and analyzing large volumes of data to create hyperpersonalized ads, powering granular personalization. At the same time, U.S.

Entertainment 52

Entertainment Media Algorithm Data Collection 52

Knowledge Hut

MAY 29, 2024

Datasets for Data Visualization Below mentioned are some of the best datasets for data visualization which are also useful datasets for data visualization projects : BuzzFeed BuzzFeed is a popular media organization that not only provides entertaining content but also offers publicly accessible datasets.

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Datasets Transportation Entertainment Media 52

Knowledge Hut

JUNE 25, 2024

Python Data Science Handbook: Tools and Techniques for Developers The "Python Data Science Handbook Essential Tools for Working With Data" is the best book to learn python for data science, written by Jake Vander Plas and released by O'Reilly Media, Inc. out of 5 (524 ratings). This book is rated 4.16

Data Science 97

Data Science Python Hadoop Media 97

U-Next

MARCH 7, 2023

Several data points represent every consumer. These include facts about their age, preferences, location, basic demographic characteristics, browsing history, previous purchases, interactions on social media, etc. You can use automated systems to gather, analyze, and combine data from several sources into a coherent data collection.

Bytes 98

Bytes Media Data Data Collection 98

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Velocity Big Data is often characterized by high data velocity, requiring real-time or near real-time data ingestion and processing. It involves handling streams of data that are generated rapidly, such as sensor data or social media feeds.

Big Data 52

Big Data Datasets Data Analysis Media 52

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

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Systems Media Machine Learning Data Warehouse 93

Knowledge Hut

APRIL 23, 2024

Traditional tools and methods cannot effectively manage and analyze information gleaned from big data within a reasonable timeframe. These data sets consist of extensive and intricate data from diverse sources, including business transactions, social media interactions, and sensor data.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Data Engineering Weekly

FEBRUARY 19, 2023

Netflix: Scaling Media Machine Learning at Netflix Netflix writes about media machine learning infrastructure and media-focused ML infrastructure to reduce the time from ideation to productization for media ML practitioners. The focus is to bring in data in-specific to their media assets and build a feature store.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Towards Data Science

DECEMBER 4, 2023

Data Lake A data lake would serve as a repository for raw and unstructured data generated from various sources within the Formula 1 ecosystem: telemetry data from the cars (e.g. Fan Engagement Mart : Marketing Team analyses social media data, fan surveys, and viewer ratings to understand fan preferences.

Data Engineer 82

Data Engineer Data Engineering Engineering Data Lake 82

Knowledge Hut

APRIL 19, 2023

The process of gathering and compiling data from various sources is known as data Aggregation. Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. This can be done manually or with a data cleansing tool.

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Process Data Mining Aggregated Data Portfolio 59

RandomTrees

NOVEMBER 25, 2024

AI-Driven Content Creation and Personalization With the growing penetration of technology, the telecom operators are expanding their content distribution companies such as providing video on demand, gaming or other media. Because of their content preferences and viewing behaviors, generative AI models can suggest relevant content to the user.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

Cloudera

JUNE 2, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? How to onboard data into their system? Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

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Systems Data Lake Google Cloud Cloud 102

Snowflake

APRIL 18, 2023

Additionally, the gradual deprecation of the third-party cookie has placed a growing premium on first-party data, or data collected directly from customers, to support effective digital targeting strategies. Brands are spending upwards of $100B globally to advertise on these networks, with ads delivering a 70-90% sales margin.

Retail 52

Retail Digital Media Media Food 52

Monte Carlo

AUGUST 21, 2023

The streaming event data within the product domain might benefit from being enriched by the custom data collected by the centralized team, but that connection might never be made. two models for generative ai teams for more robust data teams. Generative ai teams should be considered in the same vein.

Data Science 98

Data Science Machine Learning Media Data 98

Knowledge Hut

JUNE 26, 2023

For this study, we wanted to create a "big data pipeline for user sentiment analysis on the US stock market." In a nutshell, this initiative uses social media data to provide real-time market sentiment predictions. However, the abundance of data opens numerous possibilities for research and analysis.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Knowledge Hut

JULY 3, 2023

This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing. This refers to Real-time data ingestion. These use cases show only fractional potential applications of real-time data ingestion.

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Data Ingestion Google Cloud Pipeline-centric Media 52

Cloudera

SEPTEMBER 15, 2021

Without them, data collected by IoT sensors, cameras and other devices would have to travel to a data center located hundreds or thousands of miles away. In such a scenario, data latency is essentially unavoidable — and, when real-time action is required, inadmissible. Real-time Demands.

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Medical Retail Datasets Algorithm 118

Knowledge Hut

FEBRUARY 11, 2023

Typical tools include websites, blogs, emailers, and social media posts with attractive graphics and videos. Digital Marketing uses strategies like Search Engine Optimization (SEO), Search Engine Management (SEM), and Social Media ads to reach out to the potential customer. If not, they are aware they will lag behind their competitors.

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Media Food Recruitment Hospitality 52

Knowledge Hut

DECEMBER 27, 2023

Even customers who perform particular actions on your website, like clicking a button or liking a social media post, can be contacted using AI. Data analysis, media buying, content creation, personalization, and other tasks are handled by AI marketing.

Media 52

Media Machine Learning Utilities Retail 52

Edureka

JULY 10, 2024

Techniques: Footprinting: Gathering the data about the network, including the domain names and the IP addresses. Open Source Intelligence (OSINT): By using commonly accessed forums such as online websites and social media platforms. However, one’s social media profiles can also offer helpful information for hackers.

Media 40

Media Utilities Systems Accessible 40

Knowledge Hut

MARCH 19, 2024

Amazon S3 (Simple Storage Service) Amazon S3 is an unlimited scalability object storage service targeted at storing and retrieving any amount of data from any location on the internet. It also keeps backups, media files, log data, and static website content.

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AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

MARCH 28, 2024

Cons: Interviewees may provide biased or socially desirable responses, potentially skewing the validity of the data collected. Plan Execution : Develop a detailed plan for participant recruitment, data collection, analysis, and reporting.

Recruitment 52

Recruitment Media Data Collection Designing 52

Snowflake

OCTOBER 2, 2024

Gen AI analyzes massive amounts of data from various sources, such as market research, sales data, regulatory documents and healthcare databases, to optimize sales and distribution processes and ensure successful product launches. This includes costs for data collection, model training, infrastructure setup and algorithmic updates.

Manufacturing 86

Manufacturing Pharmaceutical Healthcare Algorithm 86

Knowledge Hut

OCTOBER 27, 2023

Tools Python programming language for building the backend ReactJS for the frontend OpenWeatherMap API for weather data Firebase database for storing user preferences Functionalities Secure user registration and login system Real-time weather data updates for specified locations Ability to view current weather conditions and forecasts for up to 7 days (..)

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Software Engineer Software Engineering Coding Project 98

Knowledge Hut

JUNE 20, 2023

Database Technology for the Analysis of Spatio-temporal Data Spatio-temporal data refers to data which has a geographic as well as a temporal component. Meteorological readings, GPS data, and social media content are prime examples of this diverse field.

Database 52

Database Java Education Data Collection 52

phData: Data Engineering

JUNE 18, 2024

Preparing the data for use in the model is paramount to the benefits of machine learning predictions , so let’s review what steps to take to ensure you’re getting the most out of your model. Selection Bias is when the method creates a bias, such as incentivizing those who take the survey.

Machine Learning 52

Machine Learning Algorithm Data Preparation Datasets 52

Data Engineering Podcast

FEBRUARY 24, 2020

We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council. Upcoming events include the Software Architecture Conference in NYC, Strata Data in San Jose, and PyCon US in Pittsburgh.

IT 100

IT Data Lake Data Pipeline Media 100

Data Engineering Podcast

MAY 27, 2018

In this episode CTO and co-founder of Alooma, Yair Weinberger, explains how the platform addresses the common needs of data collection, manipulation, and storage while allowing for flexible processing.

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Data Pipeline MongoDB Google Cloud Scala 100

Striim

OCTOBER 11, 2024

Because of this significant processing delay, businesses are unable to make timely decisions, as data is outdated by the time it’s finally transferred to the target. Real-time data pipelines equip business leaders with the knowledge necessary to make data-fueled decisions. This can result in major consequences.

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Data Pipeline MongoDB Unstructured Data Data Lake 52

Knowledge Hut

MAY 1, 2024

If the general idea of stand-up meetings and sprint meetings is not taken into consideration, a day in the life of a data scientist would revolve around gathering data, understanding it, talking to relevant people about the data, asking questions about it, reiterating the requirement and the end product, and working on how it can be achieved.

Algorithm 98

Algorithm Raw Data Data Science Computer Science 98

Knowledge Hut

JULY 26, 2023

The real-time or near-real-time nature of Big Data poses challenges in capturing and processing data rapidly. This velocity aspect is particularly relevant in applications such as social media analytics, financial trading, and sensor data processing.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Databand.ai

JULY 6, 2023

These anomalies can significantly impact data analysis, leading to incorrect or misleading insights. Unintentional anomalies are data points that deviate from the norm due to errors or noise in the data collection process. Unintentional anomalies can distort the dataset, making it challenging to derive accurate insights.

Datasets 52

Datasets Algorithm Machine Learning Data Analysis 52

Data Engineering Weekly

NOVEMBER 20, 2022

Google AI: The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentation Google published Data Cards , a dataset documentation framework aimed at increasing transparency across dataset lifecycles. The blog narrates one such application that uses video quality with neural networks.

Data Engineer 52

Data Engineer Data Engineering Engineering Datasets 52

Data Engineering Weekly

FEBRUARY 26, 2023

Modeling Test and optimize the output Productionise into a usable format [link] Sponsored: Replacing GA4 with Analytics on your Data Cloud The GA4 migration deadline is fast approaching. Join our webinar to learn how you can replace GA with analytics on your data cloud. Riffing is a 5 step process that contains What is the goal?

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Data Engineer Data Engineering Engineering Raw Data 57

Data Engineering Weekly

NOVEMBER 13, 2022

[link] If you are a modern data leader and interested in adopting Data Contract or talking to understand what it is, say hi on LinkedIn [link] Netflix: New Series - Creating Media with Machine Learning Can ML replace creative content generators, or can it be an excellent assistant to take creativity to a new height?

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Knowledge Hut

JANUARY 19, 2024

Business Intelligence Analyst Importance The proliferation of IoT-connected objects, IoT-based sensors, rising internet usage, and sharp increases in social media activity are all enhancing businesses' ability to gather enormous amounts of data.

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Business Intelligence BI Business Analyst Finance 52