Snowflake

APRIL 6, 2023

Data science is quickly emerging as a key differentiator for advertising, media, and entertainment organizations. Fierce competition is another factor causing brands to enhance their data science efforts to power more and faster actionable insights. Another common hurdle is data silos.

Data Science 57

Data Science Entertainment Media Unstructured Data 57

Knowledge Hut

JANUARY 30, 2024

Here, we explore the diverse types of Extraction, showcasing the breadth of possibilities it offers: Textual Data: This includes extracting textual content from sources such as documents, emails, social media posts, and web pages. Textual data extraction is vital for sentiment analysis, content categorization, and text mining.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. However, the bank’s federated data marts gave each business only enough data to substantiate its own business.

Unstructured Data 68

Unstructured Data Banking Machine Learning Media 68

Cloudera

DECEMBER 11, 2020

Insurance and finance are two industries that rely on measuring risk with historical data models. They have traditionally been slower-moving to adopt new structured and unstructured data inputs as regulatory considerations are always top of mind. This can be done at speed, and at scale.

Insurance 91

Insurance Unstructured Data Finance Machine Learning 91

Cloudera

OCTOBER 21, 2020

Instead of in-person appointments or walkthroughs, insurance companies may now rely on drone footage, satellite imagery, social media posts, and mobile apps that gather data on customers. Using these forms of structured and unstructured data can unlock new insights, both in isolation and in combination with each other.

Insurance 71

Insurance Unstructured Data Hospitality Media 71

U-Next

AUGUST 18, 2022

These factors all work together to help us uncover underlying patterns or observations in raw data that can be extremely useful when making important business choices. Both organized and unstructured data are used in Data Science. Data Science is thus entirely concerned with the present moment.

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

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. Source Code: Smart Cities Using Big Data 3. Source Code: Tourist Behavior Analysis 4.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

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.

Unstructured Data 100

Unstructured Data Data Warehouse Metadata Media 100

Cloudera

APRIL 20, 2021

In today’s demand for more business and customer intelligence, companies collect more varieties of data — clickstream logs, geospatial data, social media messages, telemetry, and other mostly unstructured data.

Hospitality 91

Hospitality Retail Kafka Data Ingestion 91

AltexSoft

AUGUST 29, 2023

Unlike traditional DWs, cloud data warehouses like Snowflake, BigQuery, and Redshift come pre-equipped with advanced features; learn more about the differences in our dedicated article. Unlike data warehouses, data lakes allow a schema-on-read approach, enabling greater flexibility in data storage.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

JULY 26, 2023

Facebook, on the other hand, as a social media giant, has created its own database solutions to handle large amounts of user data. RDBMSs such as MySQL and PostgreSQL provide structured storage, defined relationships, and data integrity. Cloud-based databases provide flexibility, scalability, and cost-effectiveness.

Database 52

Database NoSQL Telecommunication MongoDB 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. Use this service to develop an application for analyzing and processing data when it arrives (e.g., streaming data from any social media platform or IoT sensors).

AWS 52

AWS Coding Project Cloud Computing 52

Knowledge Hut

MAY 31, 2023

Content Management System Development A Content Management System (CMS) must efficiently manage, store, retrieve, modify, delete, and serve rich media files (image, audio, video), documents (PDFs, Microsoft Office files), and textual content (news articles, social media posts).

Database 52

Database Coding MongoDB Project 52

ProjectPro

FEBRUARY 16, 2023

Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems. Structured, semi-structured, and unstructured data from multiple sources, such as social media, IoT devices, and sensors. Tools OLAP, data visualization, reporting, and dashboards.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Snowflake

APRIL 5, 2023

With Snowflake’s support for multiple data models such as dimensional data modeling and Data Vault, as well as support for a variety of data types including semi-structured and unstructured data, organizations can accommodate a variety of sources to support their different business use cases.

Data Warehouse 52

Data Warehouse Healthcare Unstructured Data Metadata 52

Knowledge Hut

DECEMBER 27, 2023

A business generates data daily related to production, sales, marketing , customer feedback, team structure, costs, and other metrics. Sometimes it isn't easy to get a clear picture of the business because of unstructured data, and data visualization benefits the company by visually structuring the data.

Telecommunication 52

Telecommunication Bytes Machine Learning Insurance 52

Cloudera

DECEMBER 7, 2020

Leaders are moving to “segments of one,” defined as tracking and understanding individual behaviors across all touchpoints using the data to customize offers, products, or services to the individual customer. Personalized Interactions —Increase conversion and customer engagement with deeper personalization and targeting.

Retail 61

Retail Unstructured Data Big Data Media 61

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

Knowledge Hut

JULY 26, 2023

This velocity aspect is particularly relevant in applications such as social media analytics, financial trading, and sensor data processing. Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Handling this variety of data requires flexible data storage and processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

JUNE 20, 2023

Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters. Facial reorganization, social media optimization, etc. They transform unstructured data into scalable models for data science. A machine learning engineer should know deep learning, scaling on the cloud, working with APIs, etc.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 29, 2024

It helps teams organize large amounts of unstructured data or ideas into meaningful groups based on their natural relationships or similarities. The resulting diagram provides a visual representation of the data, making it easier to identify patterns, themes, and insights that can inform decision-making.

Process 52

Process Designing Unstructured Data Raw Data 52

Monte Carlo

MAY 31, 2022

Vimeo employs more than 35 data engineers across data platform, video analytics, enterprise analytics, BI, and DataOps teams. They operate one of the most sophisticated and robust data platforms in media. “We We have a couple of data warehouses with about a petabyte in Snowflake, 1.5

BI 52

BI Data Warehouse Unstructured Data Data Schemas 52

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.

Project 96

Project Healthcare Deep Learning Transportation 96

ProjectPro

NOVEMBER 17, 2021

Sentiment analysis or opinion mining helps researchers and companies extract insights from user-generated social media and web content. Companies analyze customers’ sentiment through social media conversations and reviews so they can make better-informed decisions. For example, is a crisis on social media escalating?

Coding 52

Coding Project Entertainment Datasets 52

Edureka

JULY 18, 2023

Let’s see how AI helps in tracking market trends by looking at these characteristics: Big Data Processing: AI algorithms are capable of quickly analysing large amounts of both structured and unstructured data, such as financial reports, news articles, social media messages, and market data.

Banking 40

Banking Algorithm Media Machine Learning 40

Knowledge Hut

DECEMBER 26, 2023

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.

Data Science 52

Data Science Consulting Computer Science Education 52

ProjectPro

AUGUST 6, 2015

Organizations in every industry are increasingly turning to Hadoop, NoSQL databases and other big data tools to attain customer delight which in turn will reap financial rewards for the business by outperforming the competition.81% 81% of the organizations say that Big Data is a top 5 IT priority.

Big Data 52

Big Data Hadoop Insurance Media 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

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Knowledge Hut

MAY 31, 2023

Business Intelligence is closely knitted to the field of data science since it leverages information acquired through large data sets to deliver insightful reports. Companies utilize different approaches to deal with data in order to extract information from structured, semi-structured, or unstructured data sets.

Business Intelligence 52

Business Intelligence BI Business Analyst Consulting 52

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 Unstructured Data 40

Cloudera

SEPTEMBER 7, 2018

This could be in the form of reputational damage or unfavorable regulatory consequences in case of compromised customer data, for example. Moreover, this approach struggles to deal with the large volume and variety of data that must be analyzed and often correlated.

Machine Learning 49

Machine Learning Unstructured Data Portfolio Relational Database 49

ProjectPro

MAY 26, 2015

The webinar discusses about the working of beacon technology (Beaconstac) and the production beacon analytics system Morpheus at MobStac that leverages Hadoop for analysing huge amounts of unstructured data generated from beacons (IoT).Beacons Groninger Museum deploys beacons to share interactive media with the visitors to the Museum.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

ProjectPro

JULY 22, 2016

Data warehouses do a good job for what they are meant to do, but with disparate data sources and different data types like transaction logs, social media data, tweets, user reviews, and clickstream data –Data Lakes fulfil a critical need.

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

U-Next

AUGUST 11, 2022

Deep Learning is an AI Function that involves imitating the human brain in processing data and creating patterns for decision-making. It’s a subset of ML which is capable of learning from unstructured data. Cybersecurity: Today, every individual has a virtual presence through a social media profile or a business website.

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

APRIL 3, 2023

Relational databases use a tabular structure to organize data, while NoSQL databases are designed to handle large volumes of unstructured data. Object-oriented databases store data as objects, and hierarchical and network databases organize data in a tree-like structure.

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 52

ProjectPro

JULY 13, 2015

Apache Hadoop is the framework of choice for JPMorgan - not only to support the exponentially growing data size but more importantly for the fast processing of complex unstructured data. JP Morgan has massive amounts of data on what its customers spend and earn. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52