Snowflake

SEPTEMBER 27, 2023

But all of this important data is often siloed and inaccessible or in hard-to-process formats, such as DICOM imaging, clinical notes or genomic sequencing. Healthcare organizations must ensure they have a data infrastructure that enables them to collect and analyze large amounts of structured and unstructured data at the point of care.

Healthcare 103

Healthcare Accessibility Accessible Hospitality 103

Snowflake

DECEMBER 14, 2023

At a recent event in Geneva, one global shipping company described how an internally trained AI-assistant improved response times for customer requests by extracting structured information from unstructured data. The shipper gets requests to transport goods from origin to destination.

Pharmaceutical 120

Pharmaceutical Food Government Transportation 120

Knowledge Hut

MAY 31, 2023

AI finds its use in a wide range of applications like marketing , automation, transport, supply chain, and communication, to name a few. The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product.

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

JANUARY 18, 2024

Splunk Splunk is an American software company broadening its horizon in monitoring, investigating, and analyzing data. Splunk is the leading software to convert any data into real-world action. You can search structured as well as unstructured data with Splunk.

Data Science 98

Data Science Amazon Web Services Big Data Finance 98

Knowledge Hut

JUNE 27, 2023

Computer science is driving innovation in a variety of other industries, including healthcare, finance, & transport. It helps to exchange data and interact with each other without human intervention. Applications: Healthcare, transportation, agriculture, and manufacturing.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

ProjectPro

FEBRUARY 8, 2023

Create The Connector for Source Database The first step is having the source database, which can be any S3, Aurora, and RDS that can hold structured and unstructured data. Glue works absolutely fine with structured as well as unstructured data. Custom Visual Transforms - AWS Glue Studio lets you create your transforms.

AWS 98

AWS Scala Metadata Data Lake 98

Monte Carlo

FEBRUARY 15, 2023

Data can be loaded using a loading wizard, cloud storage like S3, programmatically via REST API, third-party integrators like Hevo, Fivetran, etc. Data can be loaded in batches or can be streamed in near real-time. Structured, semi-structured, and unstructured data can be loaded.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Silectis

JANUARY 3, 2021

BI (Business Intelligence) Strategies and systems used by enterprises to conduct data analysis and make pertinent business decisions. Big Data Large volumes of structured or unstructured data. Data pipelines can be automated and maintained so that consumers of the data always have reliable data to work with.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

APRIL 17, 2015

A recent CivSource news article highlighted the creation of a big data transit team in Toronto routing path - for big data analytics in transportation sector. As a solution to this problem, Toronto created a big data transit team for analysis of big data in the transportation services department.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

Striim

OCTOBER 11, 2024

Then, we’ll explore a data pipeline example and dive deeper into the key differences between a traditional data pipeline vs ETL. What is a Data Pipeline? A data pipeline refers to a series of processes that transport data from one or more sources to a destination, such as a data warehouse, database, or application.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

AltexSoft

MAY 14, 2021

It’s represented in terms of batch reporting, near real-time/real-time processing, and data streaming. The best-case scenario is when the speed with which the data is produced meets the speed with which it is processed. Let’s take the transportation industry for example.

Big Data 78

Big Data Data Analytics IT NoSQL 78

AltexSoft

JUNE 26, 2023

Data ingestion means taking data from several sources and moving it to a target system without any transformation. So it can be a part of data integration or a separate process aiming at transporting information in its initial form. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

APRIL 23, 2024

Supply Chain Management: Big data supply chain big data use cases give merchants the ability to optimize their processes. Retailers may improve inventory management, logistics, savings, and supply chain efficiency by analyzing data from suppliers, distribution centers, transportation routes, and client demand.

Big Data 52

Big Data Recruitment Retail Transportation 52

Knowledge Hut

JUNE 23, 2023

Application makers apply real-time data analytics to include real-time analytics databases in their products, giving clients quick access to data insights. Real-time data analytics are applied in transportation to improve safety, plan paths, and watch traffic. Setting this up might be costly and time-consuming.

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Knowledge Hut

JUNE 26, 2023

Using big data, we are able to transform unstructured data, such as customer reviews, into actionable insights, which enables businesses to better understand how and why customers prefer their products or services and to make improvements to their operations as quickly as is practically possible.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

JULY 4, 2023

While senior scientists easily surpass the $130,000 threshold.

Data Analytics 52

Data Analytics Data Architect Data Science Transportation 52

Knowledge Hut

SEPTEMBER 29, 2023

The Azure Data Engineer Certification test evaluates one's capacity for organizing and putting into practice data processing, security, and storage, as well as their capacity for keeping track of and maximizing data processing and storage. They control and safeguard the flow of organized and unstructured data from many sources.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

APRIL 23, 2024

Below are some of the differences between Traditional Databases vs big data: Parameters Big Data Traditional Data Flexibility Big data is more flexible and can include both structured and unstructured data. Traditional Data is based on a static schema that can only work well with structured data.

Big Data 52

Big Data Relational Database Data Structured Data 52

Monte Carlo

MAY 28, 2024

Popular Data Ingestion Tools Choosing the right ingestion technology is key to a successful architecture. Common Tools Data Sources Identification with Apache NiFi : Automates data flow, handling structured and unstructured data. Used for identifying and cataloging data sources.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

ProjectPro

FEBRUARY 1, 2018

With the data from Strava app, the Texas Department of Transportation can actually see what is being used ,instead of merely guessing on where to put the infrastructure or the bike lane. Source : [link] ) Could 'big data' help Cleveland reduce health disparities - and create jobs?Cleveland.com, Source : [link] ) Hadoop 3.0

Hadoop 52

Hadoop Food Healthcare Cloud Computing 52

Rockset

MARCH 22, 2022

Streaming Analytics To deal with the scale and speed of the data being generated, a common pattern is to put this data onto a queue or stream. This decouples the mechanism for transporting the data away from any processing that you want to take place on the data.

Database 52

Database Kafka Transportation Unstructured Data 52

Ascend.io

NOVEMBER 21, 2023

Extract The initial stage of the ELT process is the extraction of data from various source systems. This phase involves collecting raw data from the sources, which can range from structured data in SQL or NoSQL servers, CRM and ERP systems, to unstructured data from text files, emails, and web pages.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

SEPTEMBER 22, 2023

Microsoft Azure Data Engineer Certification Career Opportunities I have seen data engineers finding employment in businesses or on projects focusing on a variety of industries, including artificial intelligence ( AI ), software, data analytics , healthcare, IT, retail, marketing , government, transportation, and more.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 26, 2015

Despite the challenges of adopting big data, there are several companies exploiting big data analysis in an innovative way to exhibit the versatility and usefulness of big data. IBM Watson consumes tons of unstructured data from – recipes, chemical compounds, food pairings, academic studies, tweets, and books.

Big Data 40

Big Data Food Unstructured Data Data Analytics 40

Knowledge Hut

MAY 31, 2023

Some top database project ideas using MariaDB include: Railway System Database Management with MariaDB In many countries around the world, trains play an integral role in transporting goods and people from one place to another.

Database 52

Database Coding MongoDB Project 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. Step 2- Internal Data transformation at LakeHouse.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

JANUARY 24, 2024

In their quest for knowledge, data scientists meticulously identify pertinent questions that require answers and source the relevant data for analysis. Beyond their analytical prowess, they possess the ability to uncover, refine, and present data effectively. Do data scientists get paid well? According to the U.S.

Database-centric 52

Database-centric Data Science Machine Learning Algorithm 52

Knowledge Hut

SEPTEMBER 6, 2023

This is an entry-level database certification, and it is a stepping stone for other role-based data-focused certifications, like Azure Data Engineer Associate, Azure Database Administrator Associate, Azure Developer Associate, or Power BI Data Analyst Associate. Skills acquired : Core data concepts. Data storage options.

Certification 52

Certification Database MongoDB MySQL 52

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

DECEMBER 27, 2023

They are responsible for coordinating with production, warehouse, distribution and transportation. In recent years, the demand for Data Scientists has grown on a huge scale. A Data Scientist is a computer expert with skills like collecting and analyzing data.

Banking 52

Banking Recruitment Finance Portfolio 52

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

DECEMBER 22, 2016

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

JULY 30, 2021

It protects network and transport layers. Blob storage provides storing of unstructured data. It uses HTTP/HTTPS to access data from anywhere over the internet. AWS Shields uses two tiers of security- Standard and Advanced. Standard AWS Shield, which comes by default with AWS, can be used as a first-measure security gate.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Edureka

MARCH 26, 2025

Transportation and Logistics: Autonomous Vehicles: Neural networks enable self-driving cars to recognize objects, predict motion, and make decisions. Key Requirements: Data Collection and Storage: Efficient pipelines to gather and store structured and unstructured data from diverse sources.

Raw Data 40

Raw Data Architecture Deep Learning Finance 40

U-Next

SEPTEMBER 23, 2022

Previously, organizations dealt with static, centrally stored data collected from numerous sources, but with the advent of the web and cloud services, cloud computing is fast supplanting the traditional in-house system as a dependable, scalable, and cost-effective IT solution.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 40

ProjectPro

MAY 31, 2021

Waste management involves the process of handling, transporting, storing, collecting, recycling, and disposing of the waste generated. This can be classified as a Big Data Apache project by using Hadoop to build it. Big Data Analytics Projects Solution for Visualization of Clickstream Data on a Website 21.

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

JULY 29, 2022

a runtime environment (sandbox) for classic business intelligence (BI), advanced analysis of large volumes of data, predictive maintenance , and data discovery and exploration; a store for raw data; a tool for large-scale data integration ; and. a suitable technology to implement data lake architecture.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59