Monte Carlo

JANUARY 23, 2024

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Today’s LLMs can already process enormous amounts of unstructured data, automating much of the monotonous work of data science. But what does that mean for the roles of data engineers and data scientists going forward?

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

ProjectPro

FEBRUARY 1, 2018

brings in erasure coding which uses RAID mechanism to reduce the data sprawl. 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. Source : [link] ) Could big data unlock safer commutes for cyclists?

Hadoop 52

Hadoop Food Healthcare Cloud Computing 52

Knowledge Hut

NOVEMBER 20, 2023

Artificial Intelligence AI systems are adept at mimicking human intelligence, be it problem-solving, understanding complex data, reasoning, or learning. They can also work with unstructured data (like emails, feedback, webpages, images, videos, etc.) and recognize patterns. The list doesn’t end here.

Manufacturing 52

Manufacturing Pharmaceutical Healthcare Finance 52

Knowledge Hut

MAY 31, 2023

You can then create your own models within your codebase, allowing you to access and manipulate your database directly from Python when needed - whether that means fetching records or adding or updating them. Here is a link to source codes for Online Job Portal using Python and SQL databases.

Database 52

Database Coding MongoDB Project 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 for leveraging analytics.

Hadoop 52

Hadoop Unstructured Data Big Data Retail 52

ProjectPro

JUNE 26, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization 2) Big Data Applications for finding your next Music Icon Big data analytics will predict who’s going to be your next big rock star. . “Watson amplifies human creativity.

Big Data 40

Big Data Food Unstructured Data Data Analytics 40

ProjectPro

JANUARY 28, 2022

In industries, anomaly detection applications attached with machinery can help flag irregular or dangerous temperature levels or movement in parts or filter faulty materials (like filtering strange-looking food ingredients before they are processed and packed). More anomaly datasets can be accessed here: Outlier Detection DataSets (ODDS).

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

ProjectPro

OCTOBER 18, 2021

and online food delivery services are spending large budgets on projects to understand human sentiments and feelings. From the outset of machine learning, it was challenging to work with unstructured data (image dataset) and transform it into structured data (texts).

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

APRIL 27, 2015

there is not sufficient man power to keep track of all the streams of video, the government could use one of the many big data analytics solutions provided by big data start-ups. 1) Spotify Big Data Startup Success Stories With 60 million active users worldwide, close to 6 million paying customers, 20 million songs and approximately 1.5

Big Data 40

Big Data Retail Hadoop Unstructured Data 40

ProjectPro

MAY 23, 2015

Use market basket analysis to classify shopping trips Walmart Data Analyst Interview Questions Walmart Hadoop Interview Questions Walmart Data Scientist Interview Question American multinational retail giant Walmart collects 2.5 petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Precisely

FEBRUARY 9, 2024

But few organizations have the data integrity required to power meaningful outcomes. Organizations must focus on breaking down silos and integrating all relevant, critical data into on-premises or cloud storage for AI model training and inference.

Data Integration 69

Data Integration Government Data Metadata 69