Analytics Vidhya

FEBRUARY 21, 2023

Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis. This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data.

Data Warehouse 205

Data Warehouse IT Data Collection Data 205

databricks

MAY 31, 2024

With more and more customer interactions moving into the digital domain, it's increasingly important that organizations develop insights into online customer behaviors.

Data Collection 65

Data Collection Data IT 65

KDnuggets

JANUARY 30, 2023

The ChatGPT Cheat Sheet • ChatGPT as a Python Programming Assistant • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 5 Free Data Science Books You Must Read in 2023 • From Data Collection to Model Deployment: 6 Stages of a Data Science Project

Data Science 135

Data Science Data Collection Python Programming 135

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.

Cloud 284

Cloud AWS Metadata Cloud Computing 284

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.

Manufacturing 109

Manufacturing Data Warehouse Kafka Retail 109

Cloudera

APRIL 13, 2022

It means your company has automated the processes of collecting, understanding and acting on data across the board, from production to purchasing to product development to understanding customer priorities and preferences. Data collection and interpretation when purchasing products and services can make a big difference.

Data Collection 112

Data Collection Algorithm Machine Learning Education 112

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.

Data Pipeline 118

Data Pipeline Building Manufacturing Data Warehouse 118

Knowledge Hut

JANUARY 18, 2024

For more information, check out the best Data Science certification. A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data. To pursue a career in BI development, one must have a strong understanding of data mining, data warehouse design, and SQL.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

KDnuggets

NOVEMBER 4, 2021

Toloka is a crowdsourced data labeling platform that handles data collection and annotation projects for machine learning at any scale. In this Nov 11 Live Demo, Learn how to get reliable training data for machine learning.

Machine Learning 103

Machine Learning Data Collection Data Project 103

Snowflake

NOVEMBER 6, 2023

Third-party cookies are being phased out Unlike first-party data, which retailers already collect from their consumer base and have ownership of, third-party data is collected by an entity that’s entirely separate from your audience—often gathered via third-party cookies. What does this mean for retailers?

Retail 82

Retail Media Digital Media Data Collection 82

Data Engineering Podcast

APRIL 28, 2024

In order to simplify the integration of AI capabilities into developer workflows Tsavo Knott helped create Pieces, a powerful collection of tools that complements the tools that developers already use.

Building 147

Building Data Lake High Quality Data Machine Learning 147

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.

Bytes 116

Bytes Transportation Data Collection Coding 116

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

KDnuggets

JANUARY 25, 2023

ChatGPT as a Python Programming Assistant • How to Use Python and Machine Learning to Predict Football Match Winners • 20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 1 • From Data Collection to Model Deployment: 6 Stages of a Data Science Project • 5 Free Data Science Books You Must Read in 2023

Machine Learning 94

Machine Learning Python Programming Data Science 94

Confluent

JULY 29, 2021

Data is at the center of our world today, especially with the ever-increasing amount of machine-generated log data collected from applications, devices, and sensors from almost every modern technology. The […].

Data Collection 90

Data Collection Data Technology Kafka 90

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.

Systems 104

Systems Data Lake Google Cloud Cloud 104

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.

Insurance 162

Insurance BI SQL Machine Learning 162

Cloudera

FEBRUARY 8, 2021

The goal is to define, implement and offer a data lifecycle platform enabling and optimizing future connected and autonomous vehicle systems that would train connected vehicle AI/ML models faster with higher accuracy and delivering a lower cost.

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

Cloudera

MAY 4, 2022

The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable.

Insurance 129

Insurance Retail Finance Medical 129

Engineering at Meta

JANUARY 27, 2023

Millisampler data allows us to characterize microbursts at millisecond or even microsecond granularity. And simultaneous data collection enables analysis of how synchronized bursts interact in rack buffers.

Engineering 142

Engineering Software Engineer Software Engineering Transportation 142

Snowflake

JULY 8, 2024

These select EU deployments will be connected to and will send all usage data to the EU repository and only select usage data will be sent to the global repository. European Union (EU) data sovereignty Snowflake’s first zonal repository outside of the US will be located in the EU to house usage data collected from the region.

Cloud 101

Cloud Google Cloud Education AWS 101

AltexSoft

JUNE 14, 2021

Insurers use data collected from smart devices to notify customers about harmful activities and lifestyles. Then, make sure you have data collection channels that provide you with relevant data needed for your tasks. You’ll need a data engineering team for that. Personalized communications.

Insurance 88

Insurance Medical Machine Learning Data Collection 88

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

Cloudera

SEPTEMBER 15, 2021

Without them, data collected by IoT sensors, cameras and other devices would have to travel to a data center located hundreds or thousands of miles away. In such a scenario, data latency is essentially unavoidable — and, when real-time action is required, inadmissible. Real-time Demands.

Medical 120

Medical Retail Datasets Algorithm 120

Confluent

DECEMBER 5, 2023

Confluent Cloud enables organizations to unlock real-time visibility into manufacturing processes, using real-time data collection and analytics to prevent re-work and tooling failures, delivering an outsized impact on production volume and quality.

Manufacturing 75

Manufacturing Data Collection Cloud Process 75

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.

Bytes 98

Bytes Media Data Data Collection 98

Data Engineering Podcast

NOVEMBER 6, 2022

How has the emergence of the "modern data stack" influenced the product direction? What are the most interesting, innovative, or unexpected ways that you have seen Snowplow used for data generation/behavioral data collection? When is Snowplow the wrong choice? What do you have planned for the future of Snowplow?

Building 130

Building IT Metadata MongoDB 130

Christophe Blefari

SEPTEMBER 15, 2023

— Hugo propose 7 hacks to optimise data warehouse cost. How to reduce warehouse costs?

Data Warehouse 130

Data Warehouse Data SQL Python 130

Knowledge Hut

MARCH 7, 2024

The traditional data management and data warehouses, and the sequence of data transformation, extraction and migration- all arise a situation in which there are risks for data to become unsynchronized.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Cloudera

AUGUST 12, 2021

The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.

Manufacturing 111

Manufacturing Insurance Consulting Education 111

Data Engineering Podcast

NOVEMBER 20, 2022

What are the biggest data-related challenges that you face (technically or organizationally)? How does that influence your approach to instrumentation/data collection in the end-user experience? Can you describe the current architecture of your data platform? Multiplayer games are very sensitive to latency.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Knowledge Hut

JUNE 3, 2024

We are at the very cusp of the data collection explosion in such a case. There is currently a shortage of Data Science engineers. The world is data-driven, and the need for qualified data scientists will only increase in the future. Your watch history is a rich data bank for these companies.

Programming Language 96

Programming Language Data Science Entertainment Banking 96

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

Monte Carlo

APRIL 27, 2023

While these bundled solutions quickly rose in popularity for marketing organizations over the past decade, questions lingered in their supporting data teams’ minds as to whether these were actually the right solution for collecting and activating customer data.

Data Warehouse 72

Data Warehouse Data Collection Architecture Data Storage 72

Cloudera

MAY 9, 2023

At the same time, telecommunications carriers’ user location data that has been aggregated, anonymized, and processed is converted into data products that are then provided to business customers.

Data Security 90

Data Security Telecommunication Data Lake Data Governance 90

Cloudera

APRIL 22, 2022

This is especially true in the mobile and 5G domain, where there will inevitably be connectivity “borders” that data will need to transit. There may be particular advantages for location-specific data collected or managed by operators.

Data Solutions 134

Data Solutions Amazon Web Services Data Storage Google Cloud 134

Data Engineering Podcast

JULY 20, 2020

How uniform is the availability and formatting of data from different manufacturers? How are you handling data collection for the individual turbines? How much information are you processing at the point of collection vs. sending to a centralized data store?

Systems 100

Systems Machine Learning Manufacturing Algorithm 100