Cloudera

SEPTEMBER 15, 2021

That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. Edge computing relies on squeezing the power and functionality of a data center into a micro site as close to data sources as possible to enable real-time tasks. Fast-changing Data.

Medical 125

Medical Retail Datasets Algorithm 125

Cloudera

FEBRUARY 8, 2021

This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology. 1 The enterprise data lifecycle. Data Enrichment Challenge.

Data Pipeline 122

Data Pipeline Building Manufacturing Data Warehouse 122

Data Engineering Podcast

JUNE 17, 2018

The most frustrating part is when you realize that you haven’t been tracking a key interaction, having to write custom logic to add that event, and then waiting to collect data. How do you prevent the user experience from suffering as a result of network congestion, while ensuring the reliable delivery of that data?

Scala 100

Scala Kafka SQL Architecture 100

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Manufacturing 115

Manufacturing Data Warehouse Kafka Retail 115

Data Engineering Podcast

FEBRUARY 25, 2018

Sam Stokes is an engineer at Honeycomb where he helps to build a platform that is able to capture all of the events and context that occur in our production environments and use them to answer all of your questions about what is happening in your system right now. What is Honeycomb and how did you get started at the company?

Kafka 100

Kafka AWS Data Data Pipeline 100

Knowledge Hut

MAY 2, 2024

From the most technologically savvy person working in leading digital platform companies like Google or Facebook to someone who is just a smartphone user, there are very few who have not been impacted by artificial intelligence or machine learning in some form or the other; through social media, smart banking, healthcare or even Uber.

Machine Learning 98

Machine Learning Algorithm Datasets Python 98

Knowledge Hut

MAY 3, 2024

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Data Engineering Podcast

FEBRUARY 24, 2020

Are you spending too much time maintaining your data pipeline? Snowplow empowers your business with a real-time event data pipeline running in your own cloud account without the hassle of maintenance. We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council.

IT 100

IT Data Lake Data Pipeline Media 100

Cloudera

APRIL 15, 2019

While Cloudera Flow Management has been eagerly awaited by our Cloudera customers for use on their existing Cloudera platform clusters, Cloudera Edge Management has generated equal buzz across the industry for the possibilities that it brings to enterprises in their IoT initiatives around edge management and edge data collection.

Management 17

Management Data Ingestion Data Collection Government 17

Data Engineering Podcast

JULY 20, 2020

For more opportunities to stay up to date, gain new skills, and learn from your peers there are a growing number of virtual events that you can attend from the comfort and safety of your home. Go to dataengineeringpodcast.com/conferences to check out the upcoming events being offered by our partners and get registered today!

Systems 100

Systems Machine Learning Manufacturing Algorithm 100

AltexSoft

MAY 12, 2022

But acoustic signals can tell us even more if analyze them using modern technologies. Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. It offers a non-invasive type of remote patient monitoring to detect events like falling. Voice recognition.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

Data Engineering Podcast

SEPTEMBER 19, 2021

This brings with it a unique set of challenges for data collection, data management, and analytical capabilities. In this episode Jillian Rowe shares her experience of working in the field and supporting teams of scientists and analysts with the data infrastructure that they need to get their work done.

Data Engineering 100

Data Engineering Data Engineer Engineering Data Lake 100

Data Engineering Podcast

SEPTEMBER 16, 2018

What is unique about customer event data from an ingestion and processing perspective? Challenges with properly matching up data between sources Data collection is one of the more difficult aspects of an analytics pipeline because of the potential for inconsistency or incorrect information.

Google Cloud 100

Google Cloud Hadoop Business Intelligence Consulting 100

U-Next

OCTOBER 20, 2022

In reality, computers, data, and algorithms are not entirely objective. Data analysis can indeed aid in better decision-making, yet bias can still creep in. It’s we, humans, that technologies and algorithms. The source material is not the only way bias can enter data. Outliers can severely distort data.

Data Collection 40

Data Collection Algorithm Datasets Data Analysis 40

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. Technology can help. The modeling process begins with data collection. These feeds are then enriched using external data sources (e.g.,

Government 122

Government Machine Learning Algorithm Raw Data 122

Snowflake

DECEMBER 6, 2023

We founded Leap Metrics and built Sevida to serve patients and healers by providing an analytics-first approach to data collection and care management solutions. For decades, our society has been applying technology to solve challenging problems in many industries.

Healthcare 99

Healthcare Aggregated Data Medical Machine Learning 99

Cloudera

APRIL 22, 2022

Internal: The use of cloud platforms for telcos’ own infrastructure and systems, especially for cloud-native cores, flexible billing, and operational support systems (BSS/OSS), plus new open and virtualised RAN (Radio Network) technology for disaggregated 4G/5G deployments.

Data Solutions 137

Data Solutions Amazon Web Services Data Storage Google Cloud 137

Snowflake

MAY 15, 2023

Snowplow, a leading behavioral data collection platform, empowers organizations to generate first-party customer data to build granular customer journey maps in the Snowflake Data Cloud—a cloud-built data platform for organizations’ critical data workloads, such as marketing analytics.

Data Collection 78

Data Collection Utilities Cloud AWS 78

Cloudera

AUGUST 20, 2021

For example, the Cloudera Data Flow experience offers an integrated event processing capability to deliver low-latency analytics by combining Flow Management (using Apache NiFi), Streams Messaging (using Apache Kafka) and Stream Processing / Analytics (using Apache Flink / SQL Stream Builder). A Robust Security Framework.

Data Warehouse 102

Data Warehouse Data Cloud Architecture 102

Confluent

JUNE 13, 2019

You might think that data collection in astronomy consists of a lone astronomer pointing a telescope at a single object in a static sky. While that may be true in some cases (I collected the data for my Ph.D. thesis this way), the field of astronomy is rapidly changing into a data-intensive science with real-time needs.

Kafka 102

Kafka Bytes Data Pipeline Python 102

Confluent

FEBRUARY 6, 2019

There is an impedance mismatch between model development using Python, its tool stack and a scalable, reliable data platform with low latency, high throughput, zero data loss and 24/7 availability requirements needed for data ingestion, preprocessing, model deployment and monitoring at scale.

Machine Learning 107

Machine Learning Python Kafka Java 107

Knowledge Hut

JUNE 4, 2024

A cybersecurity plan also empowers the Information Technology team to communicate effectively with respect to the cybersecurity structure and operations. A cyber security plan that contains measures against information technology breaches could help to prevent cyber attacks. Cyber security does not begin after an attack occurs.

Insurance 98

Insurance Data Security Education Technology 98

Data Engineering Podcast

SEPTEMBER 18, 2022

In this episode Tommy Yionoulis shares his experiences working in the service and hospitality industries and how that led him to found OpsAnalitica, a platform for collecting and analyzing metrics on multi location businesses and their operational practices. When is OpsAnalitica the wrong choice? Closing Announcements Thank you for listening!

Hospitality 100

Hospitality Food MongoDB MySQL 100

Workfall

MARCH 7, 2023

Yew offers Rust’s rich type ecosystem which can be a great tool when it comes to ensuring data integrity on the client side. The other way might be to use onchange event on input fields but that might be expensive in the long run. We register a handler to handle the event after it fires in the DOM. What Is Form Handling?

PostgreSQL 79

PostgreSQL Database AWS Data Collection 79

Monte Carlo

AUGUST 21, 2023

The technology is exciting, but specific use cases are fuzzy. The ecosystem has sprouted up overnight, but supporting technologies and best practices haven’t ripened just yet. two models for generative ai teams for more robust data teams. Structure your data science and generative AI teams for success in the long-run.

Data Science 98

Data Science Machine Learning Media Data 98

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

Snowflake

MARCH 7, 2023

Or, more generally, in using data and analytics to drive sustainability performance? Here are 10 key takeaways from the event: 1. While reporting identifies the gaps, companies need a data platform that enables it to put a mitigation plan in place, transform business processes , and deliver better results for the environment.

Transportation 72

Transportation Data Data Lake Retail 72

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention.

Project 96

Project Healthcare Deep Learning Transportation 96

Towards Data Science

APRIL 3, 2023

From Enormous Data back to Big Data Say you are tasked with building an analytics application that must process around 1 billion events (1,000,000,000) a day. and what you are processing (what does the data look like)? In fact, you can think of it as being alive (if even for a short while). Listing 9–1.

Process 81

Process Data Lake Systems Bytes 81

AltexSoft

MAY 14, 2021

The best way to understand the idea behind Big Data analytics is to put it against regular data analytics. The analytics commonly takes place after a certain period of time or event. If you are an owner of an online shop, you may look at the data accumulated during a week and then analyze it. Traditional approach.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

JUNE 20, 2023

As we head towards the second half of 2023, the world of technology evolves at a rapid pace. With the rise of AI and blockchain, the demand for data, its management and the need for security increases rapidly. This research will yield innovative solutions for data management.

Database 52

Database Java Education Data Collection 52

Knowledge Hut

JANUARY 18, 2024

Most of the AI that surrounds us today is an application of weak AI, such as Facebook's recommended newsfeed, Amazon's suggested purchases, Apple Siri, and Amazon Alexa, the technology that answers users' spoken questions. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

JANUARY 31, 2024

Service operation also contributes to service improvement by methodically carrying out periodic operations such as measuring performance, evaluation metrics, and data collection. Priority The time frame within which measures must be taken in the event of a service deviation.

Certification 52

Certification Accessible Accessibility Utilities 52

AltexSoft

APRIL 27, 2023

According to McKinsey’s analysis , the wider adoption of data-driven technologies could increase the business operating performance by 15 to 30 percent of EBIDTA (Earnings Before Interest, Taxes, Depreciation, and Amortization) in just five years. The event harmonizer automates data collection and processing.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Databand.ai

JUNE 8, 2023

By implementing an observability pipeline, which typically consists of multiple technologies and processes, organizations can gain insights into data pipeline performance, including metrics, errors, and resource usage. This ensures the reliability and accuracy of data-driven decision-making processes.

Data Pipeline 52

Data Pipeline Bytes Data Collection Raw Data 52

phData: Data Engineering

MARCH 11, 2024

Event Tracking : Capturing behavioral events such as page views, add-to-cart, signup, purchase, subscription, etc. Identity Resolution : Merging behavioral events and customer identifiers in an identity graph to create a single comprehensive customer profile. However, almost all CDPs aim to perform the same four functions: 1.

Data Warehouse 52

Data Warehouse Data Data Storage Cloud 52

RandomTrees

OCTOBER 14, 2024

Historically, demand forecasting has centered on bone-linear regression models or statistical time bolts, which more or less are fruitful in homogenous settings but may not respond quickly to shock events or intricate studies of consumer behaviors.

Utilities 52

Utilities Data Mining Algorithm Systems 52