AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Data Collection Machine Learning Unstructured Data Non-relational Database 52

Data Engineering Weekly

MARCH 2, 2025

Annual Report: The State of Apache Airflow® 2025 DataOps on Apache Airflow® is powering the future of business – this report reviews responses from 5,000+ data practitioners to reveal how and what’s coming next. Data Council 2025 is set for April 22-24 in Oakland, CA.

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Data Engineering Data Engineer Engineering Datasets 62

RudderStack

MAY 12, 2021

In part one of this two part series on data collection, you'll learn how to collect event data.

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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?

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Building IT Metadata MongoDB 130

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?

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Engineering at Meta

APRIL 17, 2023

How it works: Millisampler comprises userspace code to schedule runs, store data, and serve data, and an eBPF-based tc filter that runs in the kernel to collect fine-timescale data. The user code attaches the tc filter and enables data collection. Millisampler collects a variety of metrics.

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Bytes Transportation Data Collection Coding 121

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?

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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.

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Insurance BI SQL Machine Learning 162

Cloudera

FEBRUARY 8, 2021

To accomplish this, ECC is leveraging the Cloudera Data Platform (CDP) to predict events and to have a top-down view of the car’s manufacturing process within its factories located across the globe. . Having completed the Data Collection step in the previous blog, ECC’s next step in the data lifecycle is Data Enrichment.

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Data Pipeline Building Manufacturing Data Warehouse 118

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Data Collection Challenge. Factory ID.

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Manufacturing Data Warehouse Kafka Retail 110

Cloudera

FEBRUARY 21, 2023

The one requirement that we do have is that after the data transformation is completed, it needs to emit JSON. data transformations can be defined using the Kafka Table Wizard. We will change the schema of the data to include the new field that we emitted in step 1. This might be OK for some cases.

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U-Next

OCTOBER 20, 2022

The source material is not the only way bias can enter data. It can also be introduced via data collection and analysis techniques. There are a variety of biases that might harm the data, including the following: . In data analysis, propagating a current state is a typical form of bias. Faulty Interpretation .

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Data Collection Algorithm Datasets Data Analysis 40

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

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.

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Management Data Ingestion Data Collection Government 17

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.

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Data Collection Utilities Cloud AWS 78

Monte Carlo

MARCH 13, 2025

Methodology Testing their hypothesis Findings From Theory to Action: Key Insights Managing Data Quality for AI The Truth About Data Quality: It’s Not All or Nothing The Problem with Data Quality & AI If you havent heard already (and of course you have), GenAI is a data product.

Banking 52

Banking Datasets Data Machine Learning 52

Monte Carlo

FEBRUARY 26, 2025

Methodology Testing their hypothesis Findings From Theory to Action: Key Insights Managing Data Quality for AI The Truth About Data Quality: It’s Not All or Nothing The Problem with Data Quality & AI If you havent heard already (and of course you have), GenAI is a data product.

Banking 52

Banking Datasets Data Machine Learning 52

Snowflake

DECEMBER 6, 2023

Healthcare data can and should serve as a holistic, actionable tool that empowers caregivers to make informed decisions in real time. 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.

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AltexSoft

MAY 12, 2022

Systems like Audio Analytic ‘listen’ to the events inside and outside your car, enabling the vehicle to make adjustments in order to increase a driver’s safety. It offers a non-invasive type of remote patient monitoring to detect events like falling. Audio data transformation basics to know. Audio data preparation.

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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!

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Systems Machine Learning Manufacturing Algorithm 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.

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Google Cloud Hadoop Consulting Business Intelligence 100

Pinterest Engineering

MARCH 26, 2025

Bootstrap Phase To ensure users could discover Holiday Finds, we implemented a fixed-position strategy: Three-day bootstrap period with Holiday Finds locked to position 1 (immediately afterAll) Existing Board More Ideas tabs maintain their engagement-based ranking User behavior tracking begins immediately to inform future positioning This approach (..)

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Building Engineering Algorithm Systems 59

Cloudera

JUNE 17, 2022

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection.

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Data Pipeline Building Kafka Java 94

Cloudera

JUNE 2, 2022

Companies have not treated the collection, distribution, and tracking of data throughout their data estate as a first-class problem requiring a first-class solution. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

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Systems Data Lake Google Cloud Data Collection 104

Knowledge Hut

MAY 3, 2024

Kafka offers better fault tolerance because of its event-driven processing. Processing Type Kafka analyses events as they often take place. Stream processing is highly beneficial if the events you wish to track are happening frequently and close together in time. A continuous processing model is an outcome.

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Kafka Scala Java Amazon Web Services 98

Knowledge Hut

JANUARY 2, 2024

An open-source monitoring tool called Prometheus is used to gather and aggregate metrics as time series data. Simply put, every item in a Kubernetes Prometheus store is a metric event that comes with a timestamp. Events are recorded in real time by Prometheus. Metrics" are the basic unit of data.

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Architecture Metadata Utilities Data Collection 98

Striim

MARCH 21, 2025

Take a streaming-first approach to data integration The first, and most important decision is to take a streaming first approach to integration. This means that at least the initial collection of all data should be continuous and real-time.

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Process Data Warehouse Kafka Data Pipeline 52

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.

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Process Data Lake Systems Data Engineering 98

Netflix Tech

JUNE 4, 2019

Every time a placement event is triggered, titus-isolate queries a remote optimization service (running as a Titus service, hence also isolating itself… turtles all the way down ) which solves the container-to-threads placement problem. We also want to leverage kernel PMC events to more directly optimize for minimal cache noise.

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Machine Learning Metadata Systems Data Collection 104

Knowledge Hut

MAY 2, 2024

Analysis of data includes Condensation, Summarization, Conclusion etc., The Interpretation step includes drawing conclusions from the data collected as the figures don’t speak for themselves. Statistics used in Machine Learning is broadly divided into two categories, based on the type of analyses they perform on the data.

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Machine Learning Algorithm Datasets Python 98

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.

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Data Engineering Data Engineer Engineering Data Lake 100

Cloudera

APRIL 22, 2022

Short-term image data storage and real-time analysis might be performed on the cameras themselves, an in-network MEC node, or at-large data centre, perhaps with external AI resources or combined with other data sets. There may be particular advantages for location-specific data collected or managed by operators.

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Data Solutions Amazon Web Services Data Storage Cloud 134

U-Next

MARCH 7, 2023

Data Integration and Identification Clarification: You can gain helpful insights into previous consumer activities through data unification, also known as identity resolution, which combines data from many sources and links it to specific customer profiles. Salesforce’s CDP is one example.

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Bytes Media Data Data Collection 98

DoorDash Engineering

AUGUST 15, 2023

Here we will take a look at how we built BPFAgent, the process of building and maintaining its probes, and how various DoorDash teams have used the data collected. As shown in Figure 1 below, BPFAgent first instruments the kernel via our eBPF probes to capture and produce events. Events themselves are fairly straightforward.

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Bytes PostgreSQL Coding Database 84

Cloudera

APRIL 20, 2022

However, consider all the data collection, merging, analyzing and storing this simple interaction requires; it’s not so simple. Data needs to be stored for treatment, drug interactions and/or allergies, patient records, compliance, pharmacy, payment and insurance purposes. I am training for an ultra marathon walking event.

Healthcare 101

Healthcare Insurance Hospitality Medical 101

Cloudera

NOVEMBER 19, 2020

The modeling process begins with data collection. Here, Cloudera Data Flow is leveraged to build a streaming pipeline which enables the collection, movement, curation, and augmentation of raw data feeds. These feeds are then enriched using external data sources (e.g.,

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Government Machine Learning Algorithm Raw Data 119

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