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. A big one is legacy technology. Another common hurdle is data silos.

Data Science 57

Data Science Entertainment Media Unstructured Data 57

Knowledge Hut

MAY 2, 2024

Since then, Apache Spark has seen a very high adoption rate from top-notch technology companies like Google, Facebook, Apple, Netflix etc. Streaming Data: Streaming is basically unstructured data produced by different types of data sources. Apache Spark was developed by a team at UC Berkeley in 2009.

Scala 52

Scala Hospitality Healthcare Retail 52

Cloudera

DECEMBER 11, 2020

These include the use of more data sources to gain insights and how cloud technologies can assist with digital transformation goals to be more agile and achieve objectives more quickly. Data Variety. Insurance and finance are two industries that rely on measuring risk with historical data models.

Insurance 95

Insurance Unstructured Data Finance Machine Learning 95

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 72

Unstructured Data Banking Machine Learning Media 72

Knowledge Hut

JUNE 26, 2023

Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article. Before working on these initiatives, you should be conversant with topics and technologies. Participating in a data engineering project is a great way to learn the ropes of the field.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

U-Next

AUGUST 18, 2022

Data Science may combine arithmetic, business savvy, technologies, algorithm, and pattern recognition approaches. 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. Theaters, channels, etc.,

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

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 74

Insurance Unstructured Data Hospitality Media 74

Knowledge Hut

MAY 31, 2023

Web Development with MySQL When it comes to dynamic, responsive web development, few technologies come close to matching the power of JavaScript. By integrating MySQL into your JavaScript workflow via Node.js, you can empower yourself to develop sophisticated web applications capable of handling complex data tasks seamlessly.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

JUNE 20, 2023

Let's find out the differences between a data scientist and a machine learning engineer below to make an informative decision. Data Engineer vs Machine Learning Engineer While there are similarities between a data engineer and a machine learning engineer, both play a key role in the technological world.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 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

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. A well-designed database application can efficiently store and handle data, meet the application's objectives, and deliver a seamless user experience.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

JULY 26, 2023

These datasets typically involve high volume, velocity, variety, and veracity, which are often referred to as the 4 v's of Big Data: Volume: Volume refers to the vast amount of data generated and collected from various sources. Managing and analyzing such large volumes of data requires specialized tools and technologies.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

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

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. Launching a serverless web app requires you to have knowledge of technologies like JavaScript, CSS, and HTML. streaming data from any social media platform or IoT sensors).

AWS 52

AWS Coding Project Cloud Computing 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

Edureka

JULY 18, 2023

In the constantly changing world of technology, artificial intelligence has become a potent tool for transforming sectors all over the world. Advanced Authentication: By utilising biometric, voice, and facial recognition technology, AI can improve authentication procedures.

Banking 40

Banking Algorithm Media Machine Learning 40

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. How to Build an End-to-End Data Pipeline from Scratch?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 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

U-Next

AUGUST 11, 2022

The present era is truly the golden age of technology. Due to the mass-scale adaptation of the latest technologies like the Internet, our life and its objectives are technology bound. Artificial Intelligence is the next technological revolution that has already accomplished a lot, despite being in its early stages.

Medical 52

Medical Computer Science Scala Machine Learning 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

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Cloudera

SEPTEMBER 7, 2018

Enterprises prepare to avoid or tackle threats by monitoring employee and third-party communications such as e-mail, instant messaging, social media, and voice, as well as by analyzing log files and file attachments. Moreover, this approach struggles to deal with the large volume and variety of data that must be analyzed and often correlated.

Machine Learning 50

Machine Learning Unstructured Data Portfolio Relational Database 50

Knowledge Hut

APRIL 3, 2023

The field of Backend Development is constantly evolving, and staying up-to-date with the latest tools and technologies is crucial for success. These include: A strong foundation in computer science, including knowledge of algorithms, data structures, and programming languages. Experience working with databases and APIs.

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 52

Zalando Engineering

NOVEMBER 6, 2017

Ana was always asking questions: What ways can data science add value to Zalando? How can data be leveraged in new ways? How can sense be made out of all the data being generated in the fashion ecosystem online? What new technologies should we be investigating ? Quality structured data is not easy to get in fashion.

Data Science 40

Data Science Deep Learning Media Unstructured Data 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

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

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

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

ProjectPro

JULY 22, 2016

The powerful data lake architecture leverages analytics capabilities for big data processing and helps businesses address operational challenges which were difficult to be solved using conventional data warehousing technologies. Table of Contents Data Lake- A perfect place for Unstructured Data What is a Data Lake?

Data Lake 40

Data Lake Data Warehouse Hadoop Unstructured Data 40

ProjectPro

AUGUST 6, 2015

Table of Contents 5 Big Data Use Cases For Customer Sentiment Analysis For Behavioural Analytics For Customer Segmentation For Predictive Support For Fraud Detection How top Sports companies use Big Data- NFL’s Atlanta Falcons use GPS technology and collect the data to analyse the movement of players during practice sessions.

Big Data 52

Big Data Hadoop Insurance Media 52

ProjectPro

NOVEMBER 14, 2015

As we step into the latter half of the present decade, we can’t help but notice the way Big Data has entered all crucial technology-powered domains such as banking and financial services, telecom, manufacturing, information technology, operations, and logistics. That is where Apache Hadoop and Apache Spark come in.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JUNE 9, 2015

Big Data Hadoop skills are most sought after as there is no open source framework that can deal with petabytes of data generated by organizations the way hadoop does. 2014 was the year people realized the capability of transforming big data to valuable information and the power of Hadoop in impeding it.

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

ProjectPro

FEBRUARY 1, 2018

The price for this the developers have to pay is that they would not be able to get failover access immediately since data managed through RAID approaches needs to be restored. will more likely be used as a data tiering strategy where data will be stored on cheaper and slower media. Globalnewswire.com, January 5, 2018.

Hadoop 52

Hadoop Food Healthcare Cloud Computing 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

ProjectPro

APRIL 17, 2015

“Any sufficiently advanced technology is indistinguishable from magic.”– Big data technologies and practices are gaining traction and moving at a fast pace with novel innovations happening in this space. Businesses are wading into the big data trends as they do not want to take the risk of being left behind.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

MAY 20, 2015

According to NASSCOM, the global big data analytics market is anticipated to reach $121 billion by 2016. Another research report by IDC predicts 27% compound annual growth rate for big data services and technologies by end of 2017 which equals 6 times the CAGR of the IT market as a whole.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40