Knowledge Hut

APRIL 23, 2024

Early Challenges and Limitations in Data Handling The history of data management in big data can be traced back to manual data processing—the earliest form of data processing, which makes data handling quite painful. Social media mining is the answer.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

Knowledge Hut

APRIL 23, 2024

Gigantic data centers might be needed in some cases. Privacy is another grave issue, especially on social media where extremely sensitive personal data is shared and stored. Complexity Complexity is governed not just by data size but also by variety, type, speed, processing challenges, and retrieval methods.

Big Data 52

Big Data Media Government Big Data Skills 52

Knowledge Hut

APRIL 23, 2024

Big Data Use Cases in Customization and the Customer Experience Enhancing Customer Journeys and Experiences: Big data analytics examines data from several touchpoints, including websites, mobile applications, customer care, and social media, to assist firms in understanding the whole customer experience.

Big Data 52

Big Data Retail Recruitment Transportation 52

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Volume Big Data refers to large volumes of data, typically in the order of terabytes or petabytes. It involves processing and analyzing massive datasets that cannot be managed with traditional data processing techniques. Small Data is collected and processed at a slower pace.

Big Data 52

Big Data Datasets Data Analysis Media 52

Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

Data Engineering 103

Data Engineering Data Engineer Engineering Metadata 103

Data Engineering Weekly

APRIL 28, 2024

[link] Airbnb: Airbnb Brandometer- Powering Brand Perception Measurement on Social Media Data with AI Airbnb writes about Brandometer, which utilizes AI to gauge brand perception on social media, enabling the company to measure its online reputation effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Hospitality 52

Netflix Tech

MARCH 10, 2023

By Meenakshi Jindal Overview At Netflix, we built the asset management platform (AMP) as a centralized service to organize, store and discover the digital media assets created during the movie production. Assets Schema got evolved that required reindexing all assets data again in ElasticSearch to support search/stats queries on new fields.

Management 94

Management Kafka Metadata Media 94

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.

Systems 90

Systems Media Machine Learning Data Warehouse 90

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

Knowledge Hut

MAY 20, 2024

Spark is developed by AMPLab and it is a fast and general purpose engine for large-scale data processing. It has improved the performance of certain applications to 100 times with its fine grain operators, in-memory caching of intermediate data, and data flow optimization.

Scala 52

Scala Technology Kafka Hadoop 52

Snowflake

DECEMBER 19, 2023

“The Snowflake Native App Framework really helps them give their customers the reassurance that their data is not traveling across the internet, and that they’re able to do all of their data processing within their own environment.” Cross Screen Media has seen this benefit firsthand.

Building 82

Building Pipeline-centric Database-centric Digital Media 82

Databand.ai

JULY 6, 2023

7 Data Pipeline Examples: ETL, Data Science, eCommerce, and More Joseph Arnold July 6, 2023 What Are Data Pipelines? Data pipelines are a series of data processing steps that enable the flow and transformation of raw data into valuable insights for businesses.

Data Pipeline 52

Data Pipeline Data Science Raw Data Media 52

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

Knowledge Hut

APRIL 23, 2024

Big Data In contrast, big data encompasses the vast amounts of both structured and unstructured data that organizations generate on a daily basis. It encompasses data from diverse sources such as social media, sensors, logs, and multimedia content. The data is processed and analyzed in a subject-oriented manner.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Striim

MAY 16, 2024

Table of Contents The Rise of GenAI in Customer Experiences GenAI represents a leap in how businesses can leverage artificial intelligence (AI) to glean insights from vast amounts of data instantly.

Algorithm 52

Algorithm Media Transportation Machine Learning 52

Knowledge Hut

MAY 3, 2024

Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. It’s also called a Parallel Data processing Engine in a few definitions. Spark is utilized for Big data analytics and related processing. Happy Learning!!!

Scala 98

Scala Hadoop Healthcare Big Data 98

RandomTrees

MARCH 22, 2024

Snowflake, a popular cloud-based data warehousing platform, offers a powerful solution to this problem through its versatile SQL capabilities. In this article, we will explore how Snowflake enables the splitting of a delimited string column into rows, facilitating more efficient data processing and analysis.

Media 52

Media Healthcare Datasets Electronics 52

Knowledge Hut

DECEMBER 27, 2023

Big data is often denoted as three V’s: Volume, Variety and Velocity. Volume : Refers to the massive data that organizations collect from various sources like transactions, smart devices (IoTs), videos, images, audio, social media and industrial equipment just to name a few. Some examples of Big Data: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Knowledge Hut

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. Source Code: Finnhub API with Kafka for Real-Time Financial Market Data Pipeline 3.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

JULY 3, 2023

Conventional batch processing techniques seem incomplete in fulfilling the demand of driving the commercial environment. 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.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

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. Conclusion AWS has released over two hundred production-level services.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

NOVEMBER 28, 2023

In this article, we will look at 31 different places to find free datasets for data science projects. We will discuss the different types of datasets in data science which cover disciplines like data visualization, data processing, machine learning, data cleaning, exploratory data analysis, natural language processing, and computer vision.

Datasets 96

Datasets Data Science Project Banking 96

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. Data Warehouse & Data Transformation We’ll have numerous pipelines dedicated to data transformation and normalisation.

Data Engineering 84

Data Engineering Data Engineer Engineering Data Lake 84

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

AltexSoft

MAY 12, 2023

Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc. Social media posts.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Monte Carlo

MAY 28, 2024

This involves connecting to multiple data sources, using extract, transform, load ( ETL ) processes to standardize the data, and using orchestration tools to manage the flow of data so that it’s continuously and reliably imported – and readily available for analysis and decision-making.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Knowledge Hut

APRIL 29, 2024

Trojans The term "Trojan" is used to designate several dangerous tactics hackers use to cheat their way into secure data. However, it is a malicious computer application created to access private data processed or kept by online banking systems. Every day the base grows, making it the best option for exploiters.

Banking 98

Banking Government Media Electronics 98

Knowledge Hut

JUNE 30, 2023

Key Benefits and Takeaways: Understand data intake strategies and data transformation procedures by learning data engineering principles with Python. Investigate alternative data storage solutions, such as databases and data lakes. Key Benefits and Takeaways: Learn the core concepts of big data systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

APRIL 23, 2024

Business Intelligence (BI) refers to the use of technology and processes to gather, analyze, and present business data in a way that helps organizations make informed decisions. NLP also allows businesses to generate insights from unstructured data sources like customer feedback and social media.

Business Intelligence 52

Business Intelligence BI Data Analysis Media 52

Knowledge Hut

DECEMBER 28, 2023

In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. Competitive Advantage: Utilizing Hadoop projects can give organizations a competitive edge through data-driven insights. Refer Hadoop cluster setup guide for more info.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R. billion (2019 - 2022).

Scala 52

Scala Hospitality Healthcare Retail 52

Data Engineering Weekly

NOVEMBER 20, 2022

[link] The short YouTube video gives a nice overview of the Data Cards. We often think of AI/ ML as a complex data processing problem, but it doesn’t make any use until it is exposed to an end user or an application. Daniel Buschek: What makes user interfaces intelligent? So what makes a user interface intelligent?

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

Towards Data Science

OCTOBER 7, 2023

Automate engineering and data processes By automating repetitive or mundane aspects of coding and data engineering, generative AI is streamlining workflows and driving productivity for software and data engineers alike. Even at OpenAI itself, LLMs are used to support DevOps and internal functions.

Unstructured Data 74

Unstructured Data Finance SQL Media 74

Monte Carlo

OCTOBER 4, 2023

Automate engineering and data processes By automating repetitive or mundane aspects of coding and data engineering, generative AI is streamlining workflows and driving productivity for software and data engineers alike. Even at OpenAI itself, LLMs are used to support DevOps and internal functions.

Unstructured Data 72

Unstructured Data Finance SQL Media 72

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Knowledge Hut

JUNE 23, 2023

Who Uses Real-time Data Analytics? Many industries and businesses utilize real-time data analytics to get insights and make decisions based on data collected in real time. Real-time data analytics monitors production lines, identifies problems, and enhances methods in manufacturing industries.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Knowledge Hut

OCTOBER 26, 2023

This AWS project example is highly relevant nowadays when social media is widely using content recommendation systems to present things of our interest. Creating Real-time Data Processing Application You can build a real-time data processing application using Amazon Kinesis along with Amazon Lambda.

AWS 52

AWS Coding Project Cloud Computing 52