Netflix Tech

OCTOBER 31, 2018

Netflix Media Database?—?the the Media Timeline Data Model In the previous post in this series, we described some important Netflix business needs as well as traits of the media data system?—?called This blog post details the structure of the media timeline data model used by NMDB called a “ Media Document ”.

Media 54

Media Metadata Data MongoDB 54

Monte Carlo

NOVEMBER 21, 2024

Let’s set the scene: your company collects data, and you need to do something useful with it. Whether it’s customer transactions, IoT sensor readings, or just an endless stream of social media hot takes, you need a reliable way to get that data from point A to point B while doing something clever with it along the way.

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 52

Edureka

JUNE 7, 2024

The key to generating a killer social media copy, catchy tune, or viral artwork using AI lies in a crystal clear, extremely specific set of prompts. From snappy brand copies to witty social media captions as well as long-form narratives and scripts, the world is your oyster! The more historical data you feed it (e.g.,

Deep Learning 114

Deep Learning Media Algorithm Manufacturing 114

Data Engineering Podcast

FEBRUARY 3, 2019

To help other people find the show please leave a review on iTunes , or Google Play Music , tell your friends and co-workers, and share it on social media. Open Context is an open access data publishing service for archaeology. What are your protocols for determining which data sets you will work with?

Digital Media 100

Digital Media Media PostgreSQL Datasets 100

Data Engineering Podcast

JUNE 17, 2021

Summary Working with unstructured data has typically been a motivation for a data lake. Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable.

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Unstructured Data Data Warehouse Metadata Media 100

Knowledge Hut

APRIL 25, 2024

Furthermore, by observing client spending habits and spotting anomalous activity, banks may leverage big data to stop fraud and increase customer security. Even while the data can be gathered, it is rarely or never properly examined. It is to be noted how fast the data is generated and further processed to cope with the demands.

Big Data 97

Big Data Entertainment Transportation Banking 97

Data Engineering Podcast

DECEMBER 8, 2019

We have partnered with organizations such as O’Reilly Media and the Python Software Foundation. We have partnered with organizations such as O’Reilly Media and the Python Software Foundation. Upcoming events include the Software Architecture Conference in NYC and PyCOn US in Pittsburgh.

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Data Warehouse Cloud AWS Relational Database 100

Towards Data Science

JANUARY 16, 2024

Result: Companies started to sell pre-configured data warehouses as products. The concept of `Data Marts` was introduced. Image by the author 2004 to 2010 — The elephant enters the room New wave of applications emerged — Social Media, Software observability, etc. New data formats emerged — JSON, Avro, Parquet, XML etc.

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Data Warehouse Data Architecture Relational Database NoSQL 95

Data Engineering Podcast

FEBRUARY 9, 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. Is there any utility in data vault modeling in a data lake context (S3, Hadoop, etc.)?

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

Snowflake

DECEMBER 11, 2024

Sports organizations deploy significant resources to collect mountains of data on fans, players and more. Legacy systems, old approaches and segmented data can make it challenging to mine and maximize results from structured data, like ticket or merchandise purchase transactions, and unstructured data, like game footage.

Unstructured Data 96

Unstructured Data Government Media Data 96

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 90

Unstructured Data Pipeline-centric Database-centric Entertainment 90

Knowledge Hut

APRIL 23, 2024

Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data. Data warehousing offers several advantages. By structuring data in a predefined schema, data warehouses ensure data consistency and accuracy.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

AltexSoft

MAY 12, 2023

Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

APRIL 23, 2024

Big data and data mining are neighboring fields of study that analyze data and obtain actionable insights from expansive information sources. Big data encompasses a lot of unstructured and structured data originating from diverse sources such as social media and online transactions.

Data Mining 52

Data Mining Big Data Database-centric Unstructured Data 52

Striim

SEPTEMBER 11, 2024

In an ETL-based architecture, data is first extracted from source systems, then transformed into a structured format, and finally loaded into data stores, typically data warehouses. This method is advantageous when dealing with structured data that requires pre-processing before storage.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Knowledge Hut

MAY 31, 2023

Artificial intelligence has had a profound impact on our daily lives, and we employ AI whenever you look through social media, open Spotify, or conduct a fast Google search. Currently, most students and working professionals prefer a Data Science Course to make a smooth transition in the data science field.

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Project Healthcare Deep Learning Transportation 96

Knowledge Hut

JANUARY 30, 2024

Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

APRIL 23, 2024

It involves handling streams of data that are generated rapidly, such as sensor data or social media feeds. Small Data is collected and processed at a slower pace. Big Data vs Small Data: Function Variety Big Data encompasses diverse data types, including structured, unstructured, and semi-structured data.

Big Data 52

Big Data Datasets Data Analysis Media 52

Towards Data Science

FEBRUARY 15, 2023

Before going into further details on Delta Lake, we need to remember the concept of Data Lake, so let’s travel through some history. Spark: The definitive guide: Big data processing made simple. O’Reilly Media, Inc.” [2] Fundamentals of Data Engineering: Plan and Build Robust Data Systems (1st ed.). O’Reilly Media.

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Data Lake Data Warehouse Hadoop Architecture 98

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

AltexSoft

MAY 14, 2021

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

JUNE 28, 2023

In our data-driven world, our lives are governed by big data. The TV shows we watch, the social media we follow, the news we read, and even the optimized routes we take to work are all influenced by the power of big data analytics. Focus Exploration and discovery of hidden patterns and trends in data.

Data Mining 52

Data Mining Business Intelligence BI Structured Data 52

ProjectPro

FEBRUARY 16, 2023

Data integration with ETL has evolved from structured data stores with high computing costs to natural state storage with read operation alterations thanks to the agility of the cloud. Data integration with ETL has changed in the last three decades.

AWS 52

AWS Data Management ETL Tools Management 52

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

ProjectPro

AUGUST 6, 2015

Companies like Electronic Arts, Riot Games are using big data for keeping a track of game play which helps predict performance of the play by analysing 4TB of operational logs and 500GB of structured data. Sports brands like ESPN have also got on to the big data bandwagon.

Big Data 52

Big Data Hadoop Insurance Media 52

Confluent

AUGUST 29, 2019

Instead of storing tables and columns, Neo4j represents all data as a graph, meaning that the data is a set of nodes with labels and relationships. Nodes are like our data entities (in this example, we use Person ). This approach to structuring data is called the property graph model. The sky’s the limit!

Kafka 55

Kafka Process Algorithm Cloud 55

Zalando Engineering

NOVEMBER 6, 2017

Fashion Content Platform - Finalists for SME Award In the age of vast amounts of fashion data, fashion blogs and social media influencers, predicting trends is a hard problem. Traditionally, fashion purchasing and trendspotting was done with manual research; offline at shows but also online with blogs and social media.

Data Science 40

Data Science Deep Learning Media Machine Learning 40

Data Engineering Weekly

NOVEMBER 20, 2022

[link] Netflix: For your eyes only: improving Netflix video quality with neural networks I'm delighted to see more Netflix engineering blogs coming out in recent days talking about the impact of AI/ ML in media production. The blog narrates one such application that uses video quality with neural networks.

Data Engineer 52

Data Engineer Data Engineering Engineering Datasets 52

U-Next

SEPTEMBER 7, 2022

Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. The data lakes store data from a wide variety of sources, including IoT devices, real-time social media streams, user data, and web application transactions.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Precisely

SEPTEMBER 6, 2023

Similar laws in other jurisdictions are raising the stakes for enterprises, compelling them to govern their data more effectively than they have in the past. Traditional frameworks for data governance often work well for smaller volumes of data, and for highly structured data.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Netflix Tech

FEBRUARY 25, 2021

Many organizations are embracing GraphQL as a way to unify their enterprise-wide data model and provide a single entry point for navigating a sea of structured data with its network of related entities.

PostgreSQL 82

PostgreSQL Database Entertainment SQL 82

Knowledge Hut

MARCH 15, 2024

RDBMS vs NoSQL: Benefits RDBMS: Data Integrity: Enforces relational constraints, ensuring consistency. Structured Data: Ideal for complex relationships between entities. NoSQL: Scalability: Easily scales horizontally to handle large volumes of data. Data Storage RDBMS: Utilizes tables to store structured data.

NoSQL 52

NoSQL Database-centric Relational Database MongoDB 52

Monte Carlo

MAY 28, 2024

Common Tools Data Sources Identification with Apache NiFi : Automates data flow, handling structured and unstructured data. Used for identifying and cataloging data sources. Data Storage with Apache HBase : Provides scalable, high-performance storage for structured and semi-structured data.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. Similarly, you can pull information from social media.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

AltexSoft

JUNE 26, 2023

From the perspective of data science, all miscellaneous forms of data fall into three large groups: structured, semi-structured, and unstructured. Key differences between structured, semi-structured, and unstructured data. But often, it’s not enough to scale your business or reach new audiences.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

OCTOBER 18, 2021

Recommendation engines are popular in media, entertainment, and shopping. This type of application is beneficial in searching, mobile application development, and social media apps. AI-driven Sentiment Analyzer Social media is swinging with millions of user-generated posts and content. also have the same feature.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

APRIL 25, 2024

Even analyzing consumer data or live streaming social media plays a vital role in Information Technology. Information Technology is thereby used on a personal level to connect and communicate with other people via playing games, sharing media content, shopping, and of course, being social.

Technology 52

Technology Recruitment Media Cloud Computing 52