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

OCTOBER 8, 2023

In this episode he shares his journey of data collection and analysis and the challenges of automating an intentionally manual industry. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. Closing Announcements Thank you for listening!

Insurance 162

Insurance BI SQL Machine Learning 162

Data Engineering Podcast

NOVEMBER 6, 2022

How can teams use the information available from those systems to inform and augment the types of events/information that should be captured/generated in a system like Snowplow? Can you describe the workflow for a team using Snowplow to generate data for a given analytical/ML project? When is Snowplow the wrong choice?

Building 130

Building IT Metadata MongoDB 130

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

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

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 97

Healthcare Aggregated Data Medical Machine Learning 97

Precisely

OCTOBER 28, 2024

If you’re an insurer, it’s crucial to be aware of these challenges and take proactive measures to: address customer concerns streamline processes embrace innovative technology solutions to turn the tide Let’s explore how it’s done – and the resources you need to succeed. Longer claim resolution times and inconsistent customer communications.

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Insurance Data Collection Process Technology 59

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.

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Database Java Education Data Collection 52

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 Engineer 100

Data Engineer Data Engineering Engineering Data Lake 100

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.

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Insurance Data Security Education Technology 75

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.

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Certification Accessible Accessibility Utilities 52

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

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?

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PostgreSQL Database AWS Data Collection 79

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 118

Medical Retail Datasets Algorithm 118

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

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.

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IT Data Lake Data Pipeline Media 100

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.

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Transportation Data Data Lake Retail 71

phData: Data Engineering

SEPTEMBER 27, 2024

In this guide, we will explore concepts like transitional modeling for customer profiles, the power of event logs for customer behavior, persistent staging for raw customer data, real-time customer data capture, and much more. We’ll look at how Customer Data Platforms (CDPs) and cloud technologies are changing the game.

Data 52

Data Raw Data Data Lake Architecture 52

Striim

OCTOBER 11, 2024

Whether you’re in the healthcare industry or logistics, being data-driven is equally important. Here’s an example: Suppose your fleet management business uses batch processing to analyze vehicle data. Modern pipelines incorporate Exactly-Once Processing (E1P) to ensure data integrity.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

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.

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Manufacturing Data Warehouse Kafka Retail 108

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

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.

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Data Pipeline Building Manufacturing Data Warehouse 117

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.

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Data Warehouse Data Data Storage Cloud 52

Edureka

JULY 16, 2024

This strategy is important for organizations that wish to minimize risks, secure data, and protect the firm’s information technology systems in the world that is web-connected today. This procedure begins as soon as suspicious activities or security events are identified. Logging essential system and network data.

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Metadata Media Utilities Electronics 40

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!

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Hospitality Food MongoDB Scala 100

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.

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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

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

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.

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Data Engineer Data Engineering Coding Project 98

Knowledge Hut

JANUARY 17, 2024

It depends on the availability of data generated out of endpoint monitoring tools. Threat hunting goes beyond a regular SIEM (Security information and event management) and EDR (endpoint detection and response) methodology and adds a human intelligence layer. Types of Threat Hunting 1. For example, SIEM services.

Certification 52

Certification Data Collection Systems Datasets 52

Knowledge Hut

JANUARY 30, 2024

ITIL®, or Information Technology Infrastructure Library, is an IT service management (ITSM) framework that aligns IT services with the needs of the business. The ITIL (Information Technology Infrastructure Library) is a resource that assists companies in lowering IT operating costs while also raising service levels.

Process 52

Process Certification Portfolio Telecommunication 52

Edureka

FEBRUARY 6, 2023

Boosts training and development – HR analytics provides the HR department with refined data and trends to understand the areas wherein the organisation’s employees require training and retaining the employees. With data-driven technology, HR can decide on other important things. It should follow the result needed.

Recruitment 52

Recruitment Data Collection Management Database 52

AltexSoft

SEPTEMBER 19, 2023

Social media and travel blogs contain valuable information about travelers’ experiences, recommendations, preferences, and popular upcoming events. Businesses selling vacation rentals can take advantage of data collection from AirDNA , Mashvisor , and others. The importance of the events economy in the travel industry.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Knowledge Hut

APRIL 6, 2023

Planning cannot eliminate risk or one’s inability to influence unforeseen events. Before the project begins, some possible risk events can be identified, such as equipment failure or a change in technical requirements as apart of risk management strategies . But as the project progresses, the cost impact of a risk event grows.

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Management Project Insurance Designing 52

Knowledge Hut

JUNE 4, 2024

Data science in pharmaceutical industry can also help improve patient outcomes by analyzing data from clinical trials and other clinical studies to identify areas for improvement or new treatments. They are also known as "predictive models" or "prediction engines" in the context of data science.

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Pharmaceutical Data Science Medical Deep Learning 52

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.

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Google Cloud Hadoop Business Intelligence Consulting 100