Cloudera

APRIL 20, 2021

Transportation: Monitor truck health and performance from smartphones and tablets, prioritize needed reports, and quickly identify the nearest dealer service locations. Companies tried processing these data through batch processing but saw workloads run much slower from hours to days.

Kafka 95

Kafka Hospitality Retail Data Ingestion 95

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 105

Healthcare Accessible Accessibility Hospitality 105

Snowflake

JUNE 13, 2024

Bringing in batch and streaming data efficiently and cost-effectively Ingest and transform batch or streaming data in <10 seconds: Use COPY for batch ingestion, Snowpipe to auto-ingest files, or bring in row-set data with single-digit latency using Snowpipe Streaming.

Data Ingestion 114

Data Ingestion MySQL PostgreSQL Data Pipeline 114

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 122

Pharmaceutical Food Government Transportation 122

ProjectPro

JUNE 6, 2025

Machine learning is revolutionizing how different industries function, from healthcare to finance to transportation. In supervised learning, the algorithm is trained on labeled data. In unsupervised learning, the algorithm seeks to identify patterns in unstructured data. What are the 4 basics of machine learning?

Machine Learning 75

Machine Learning Amazon Web Services Algorithm Healthcare 75

ProjectPro

JUNE 6, 2025

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

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 Transportation Healthcare Deep Learning 96

ProjectPro

JUNE 6, 2025

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 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

Let us compare traditional data warehousing and Hadoop-based BI solutions to better understand how using BI on Hadoop proves more effective than traditional data warehousing- Point Of Comparison Traditional Data Warehousing BI On Hadoop Solutions Data Storage Structured data in relational databases.

BI 40

BI Hadoop Big Data Business Intelligence 40

ProjectPro

JUNE 6, 2025

The difference between success and failure in AI projects often lies in the ability to implement intelligent agents that can analyze data and take action based on it. It handles booking flights, reserving hotels, organizing activities, and arranging transportation, automatically managing each step of the process.

Healthcare 40

Healthcare Medical Education Transportation 40

ProjectPro

JUNE 6, 2025

Get More Practice, More Big Data and Analytics Projects , and More guidance.Fast-Track Your Career Transition with ProjectPro ETL vs. ELT Use Cases | ETL vs. ELT- When to Use Which One? Both ETL and ELT are useful data transportation and transformation techniques.

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

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 Finance Big Data 98

ProjectPro

JUNE 6, 2025

You can pick any of these cloud computing project ideas to develop and improve your skills in the field of cloud computing along with other big data technologies. The need for repair techniques for transportable storage devices becomes evident as the photographer risks losing irreplaceable photos.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Data Replication: The storage is highly durable and available across three Availability Zones (AZs) within a Region. You pay for a single copy of the data. Premium Support Plans: AWS offers premium support plans with transparent pricing to match your needs. What is DocumentDB used for? Which is better: DynamoDB or DocumentDB?

AWS 40

AWS Database MongoDB Management 40

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 Transportation 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

ProjectPro

JUNE 6, 2025

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 53

Cloud Computing Cloud Amazon Web Services AWS 53

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

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

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

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 Engineer 40

Data Engineer Data Engineering Engineering Non-relational Database 40

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

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

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 Electronics 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 Transportation Manufacturing 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

JULY 4, 2023

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

Data Analytics 52

Data Analytics Data Architect Transportation Consulting 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 Transportation 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 SQL 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.

Data Warehouse 52

Data Warehouse Raw Data Data Cleanse NoSQL 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 IT 52

ProjectPro

JUNE 6, 2025

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 40

Data Mining Data Cleanse Data Analysis Datasets 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

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 Retail 40