U-Next

OCTOBER 20, 2022

For instance, if you’re marketing premium spirits and only train your AI using data that mimics beer drinkers’ behavior, the results will be highly wrong and distorted. The data utilized to train the ML models is a major contributor to these biases. The source material is not the only way bias can enter data.

Data Collection 40

Data Collection Algorithm Datasets Data Analysis 40

Rockset

DECEMBER 19, 2023

From his early days at Quora to leading projects at Facebook and his current venture at Fennel (a real-time feature store for ML), Nikhil has traversed the evolving landscape of machine learning engineering and machine learning infrastructure specifically in the context of recommendation systems.

Systems 52

Systems Machine Learning Deep Learning Media 52

The Pragmatic Engineer

OCTOBER 17, 2024

Storing data: data collected is stored to allow for historical comparisons. Benchmarking: for new server types identified – or ones that need an updated benchmark executed to avoid data becoming stale – those instances have a benchmark started on them. This was one section from last week’s The Pulse.

Cloud 273

Cloud AWS Metadata Cloud Computing 273

Confluent

FEBRUARY 21, 2019

During a recent talk titled Hunters ATT&CKing with the Right Data , which I presented with my brother Jose Luis Rodriguez at ATT&CKcon, we talked about the importance of documenting and modeling security event logs before developing any data analytics while preparing for a threat hunting engagement. Why KSQL and HELK?

Process 83

Process Kafka SQL Datasets 83

Data Engineering Podcast

NOVEMBER 6, 2022

In this episode Nick King discusses how you can be intentional about data creation in your applications and services to reduce the friction and errors involved in building data products and ML applications. Can you share your definition of "behavioral data" and how it is differentiated from other sources/types of data?

Building 130

Building IT Metadata MongoDB 130

Knowledge Hut

MAY 3, 2024

Kafka offers better fault tolerance because of its event-driven processing. Its interoperability with other kinds of systems, however, might appear to be extremely difficult. Processing Type Kafka analyses events as they often take place. A continuous processing model is an outcome.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Engineering at Meta

NOVEMBER 12, 2024

We’re sharing insights into our own cryptographic monitoring system, including challenges faced in its implementation, with the hope of assisting others in the industry aiming to deploy cryptographic monitoring at a similar scale. From there, data persists in Scuba and Hive , Meta’s short-term and long term data stores, respectively.

Algorithm 70

Algorithm Datasets Coding Java 70

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

RandomTrees

DECEMBER 12, 2023

Synthetic data helps us better understand the object or scene getting observed. It’s also a prerequisite for building novel algorithms for computer vision systems, but this is just a general talk. Let’s find out more about synthetic data in detail. A computer that can interpret visual data can produce significant results.

Deep Learning 52

Deep Learning Datasets Healthcare Algorithm 52

Striim

OCTOBER 11, 2024

Change Data Capture (CDC) plays a key role here by capturing and streaming only the changes (inserts, updates, deletes) in real time, ensuring efficient data handling and up-to-date information across systems. Why are Data Pipelines Significant? Now that we’ve answered the question, ‘What is a data pipeline?’

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

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.

Data Pipeline 93

Data Pipeline Building Kafka Java 93

Databand.ai

MAY 30, 2023

Data quality refers to the degree of accuracy, consistency, completeness, reliability, and relevance of the data collected, stored, and used within an organization or a specific context. High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Striim

SEPTEMBER 11, 2024

Here are six key components that are fundamental to building and maintaining an effective data pipeline. Data sources The first component of a modern data pipeline is the data source, which is the origin of the data your business leverages. Continuous replication via CDC is an event driven architecture.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Monte Carlo

APRIL 27, 2023

The Rise and Fall of CDPs Legacy CDPs are bundled solutions that collect and consolidate customer event data into a single user profile. They then give marketing teams an easy way to visually define custom audiences and map customer data to downstream systems.

Data Warehouse 72

Data Warehouse Data Collection Architecture Data Storage 72

DoorDash Engineering

AUGUST 15, 2023

But these signals almost entirely rely on application-level instrumentation, which can leave gaps or conflicting semantics across different systems. 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.

Bytes 84

Bytes PostgreSQL Coding Database 84

Knowledge Hut

JANUARY 17, 2024

Cyber threat can be defined as a potential attack, destruction or damage of a cyber system that is launched over a network. With the constantly growing cases of cyber attacks, it has become critical to hunt and protect the systems against these. It depends on the availability of data generated out of endpoint monitoring tools.

Certification 52

Certification Data Collection Systems Datasets 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)? Enabling these capabilities all began with the declaration of the system scenario. reference).

Process 83

Process Data Lake Systems Bytes 83

Knowledge Hut

MAY 29, 2024

By visualizing ProPublica's datasets, we can uncover patterns, disparities, and systemic problems that might otherwise go unnoticed. Earth Data NASA's Earth Observing System Data and Information System (EOSDIS) provides a vast collection of datasets related to Earth science and remote sensing.

Datasets 52

Datasets Transportation Entertainment Media 52

Workfall

MARCH 7, 2023

Reading Time: 6 minutes In order to create a Yew web application, one must create mechanisms to allow end users to interact with the system and provide data via online forms. Yew offers Rust’s rich type ecosystem which can be a great tool when it comes to ensuring data integrity on the client side. What Is Form Handling?

PostgreSQL 79

PostgreSQL Database AWS Data Collection 79

Data Engineering Podcast

FEBRUARY 25, 2018

Summary One of the sources of data that often gets overlooked is the systems that we use to run our businesses. This data is not used to directly provide value to customers or understand the functioning of the business, but it is still a critical component of a successful system.

Kafka 100

Kafka AWS Data Data Pipeline 100

Knowledge Hut

MARCH 19, 2024

AWS Lambda AWS Lambda is a serverless computing service that enables developers to run code in response to events without needing to work with servers. It allows businesses to construct event-driven architectures and microservices in which functions are invoked by events like file uploads, database changes, or HTTP requests.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

JUNE 20, 2023

From blockchain-based database systems to real-time data processing with in-memory databases, these topics offer a glimpse into the exciting future of database research. Thus, researching database technologies[3] is vital to streamlining operations, improving decision-making, and enhancing the overall quality of events.

Database 52

Database Java Education Data Collection 52

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. Real-time customer data aggregation is done via a CDP.

Bytes 98

Bytes Media Data Data Collection 98

AltexSoft

SEPTEMBER 19, 2023

Company’s booking website and mobile app allow you to track and collect a wealth of data, from web traffic information to user behavioral metrics (session duration, navigation paths, etc.), Businesses selling vacation rentals can take advantage of data collection from AirDNA , Mashvisor , and others.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

phData: Data Engineering

MARCH 11, 2024

The depreciation of third-party cookies has only compounded this problem, leaving companies scrambling to figure out how to implement the systems needed to power growth with their first-party customer data. Event Tracking : Capturing behavioral events such as page views, add-to-cart, signup, purchase, subscription, etc.

Data Warehouse 52

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. These methods of computer forensics include data imaging, file carving, keyword searches, and the analysis of files’ metadata and system logs.

Metadata 40

Metadata Media Utilities Electronics 40

phData: Data Engineering

SEPTEMBER 27, 2024

Methods that allow our customer data models to be as dynamic and flexible as the customers they represent. 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.

Data 52

Data Raw Data Data Lake Architecture 52

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. Real-time Demands.

Medical 118

Medical Retail Datasets Algorithm 118

Knowledge Hut

JUNE 4, 2024

Objectives of Cyber Security Planning Most business operations run on the internet, revealing their data and resources to various cyber threats. Since the data and system resources are the pillars upon which the Organization operates, it goes without saying that a threat to these entities is indeed a threat to the Organization itself.

Insurance 75

Insurance Data Security Education Technology 75

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

AltexSoft

APRIL 27, 2023

No wonder, pharma companies seek ways to make the journey shorter — and pin their hopes on data analytics. This phase involves numerous clinical trial systems and largely relies on clinical data management practices to organize information generated during medical research. Clinical trials.

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

ProjectPro

JUNE 28, 2016

To explain Apache Kafka in a simple manner would be to compare it to a central nervous system than collects data from various sources. This data is constantly changing, and is voluminous. This data can be anything from clickstream data, activity/ web logs, consumer data, etc.

Kafka 40

Kafka Systems Hadoop Big Data 40

Edureka

AUGUST 19, 2024

A flow is an automated process in Salesforce that guides users through data collection and several other actions in and out of Salesforce. Flows can guide users through screens, collect data, and execute business logic without requiring coding. This information can help you prepare for Salesforce Interview Questions.

Programming Language 40

Programming Language Coding Designing Process 40

Data Engineering Weekly

NOVEMBER 13, 2022

[link] Meta: Tulip - Schematizing Meta’s data platform Numerous heterogeneous services make up a data platform, such as warehouse data storage and various real-time systems. The schematization of data plays a vital role in a data platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

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.

Manufacturing 108

Manufacturing Data Warehouse Kafka Retail 108

Rockset

FEBRUARY 24, 2023

It’s a continuous and unbounded stream of information that is generated at a high frequency and delivered to a system or application. An instructive example is clickstream data, which records a user’s interactions on a website. Another example would be sensor data collected in an industrial setting.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52