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

Cloudera

FEBRUARY 4, 2019

Cloudera DataFlow (CDF) is a scalable, real-time streaming data platform that collects, curates, and analyzes data so customers gain key insights for immediate actionable intelligence. CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

Data Ingestion 73

Data Ingestion Retail Kafka Data Lake 73

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

Striim

SEPTEMBER 11, 2024

These data sources serve as the starting point for the pipeline, providing the raw data that will be ingested, processed, and analyzed. Data Collection/Ingestion The next component in the data pipeline is the ingestion layer, which is responsible for collecting and bringing data into the pipeline.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Cloudera

NOVEMBER 19, 2020

Analyzing historical data is an important strategy for anomaly detection. 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.

Government 119

Government Machine Learning Algorithm Raw Data 119

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. In fact, while only 3.5% That’s where our friends at Ascend.io In fact, while only 3.5%

Hospitality 100

Hospitality Food MongoDB MySQL 100

Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. integration) and preprocessing need to run at scale.

Machine Learning 107

Machine Learning Python Kafka Java 107

Netflix Tech

MARCH 25, 2019

As a result, a single consolidated and centralized source of truth does not exist that can be leveraged to derive data lineage truth. Therefore, the ingestion approach for data lineage is designed to work with many disparate data sources. push or pull. Today, we are operating using a pull-heavy model.

Building 90

Building Metadata Transportation Data Ingestion 90

Cloudera

DECEMBER 21, 2020

As customers shift online, the data trails they leave behind, through email opens, click-throughs, preferred member programs, can help retailers provide personalized insights on a level like never before.

Retail 93

Retail Cloud Food Government 93

Netflix Tech

OCTOBER 19, 2020

We chose Mantis as our backbone to transport and process large volumes of trace data because we needed a backpressure-aware, scalable stream processing system. Our trace data collection agent transports traces to Mantis job cluster via the Mantis Publish library.

Building 95

Building Transportation Java Metadata 95

Knowledge Hut

JANUARY 18, 2024

Let us now look into the differences between AI and Data Science: Data Science vs Artificial Intelligence [Comparison Table] SI Parameters Data Science Artificial Intelligence 1 Basics Involves processes such as data ingestion, analysis, visualization, and communication of insights derived.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

APRIL 23, 2024

Big Data Training online courses will help you build a robust skill-set working with the most powerful big data tools and technologies. Big Data vs Small Data: Velocity Big Data is often characterized by high data velocity, requiring real-time or near real-time data ingestion and processing.

Big Data 52

Big Data Datasets Data Analysis Media 52

Data Engineering Weekly

OCTOBER 30, 2022

link] Sarah Krasnik: The Analytics Requirements Document The first critical step to bringing data-driven culture into an organization is to embed the data collection and analytical requirement part of the product development workflow.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Ingestion 52

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 85

Machine Learning Algorithm Government Metadata 85

Cloudera

MAY 9, 2019

Data readiness – These set of metrics help you measure if your organization is geared up to handle the sheer volume, variety and velocity of IoT data. It is meant for you to assess if you have thought through processes such as continuous data ingestion, enterprise data integration and data governance.

Manufacturing 56

Manufacturing Data Ingestion Architecture Data Governance 56

Knowledge Hut

JUNE 26, 2023

Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? As part of similar research, Felipe Hoffa analysed gigabytes of data spread over many publications from Google's BigQuery data collection. Which queries do you have?

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Ascend.io

MAY 31, 2023

Table of Contents The Common Threads: Ingest, Transform, Share Before we explore the differences between the ETL process and a data pipeline , let’s acknowledge their shared DNA. Data Ingestion Data ingestion is the first step of both ETL and data pipelines.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

Data Engineering Weekly

NOVEMBER 13, 2022

With Upsolver SQLake, you build a pipeline for data in motion simply by writing a SQL query defining your transformation. The blog narrates the design of the data collection, modeling & visualization layers.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Data Engineering Weekly

NOVEMBER 20, 2022

Google AI: The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentation Google published Data Cards , a dataset documentation framework aimed at increasing transparency across dataset lifecycles. With Upsolver SQLake, you build a pipeline for data in motion simply by writing a SQL query defining your transformation.

Data Engineer 52

Data Engineer Data Engineering Engineering Datasets 52

ProjectPro

AUGUST 24, 2021

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Monte Carlo

MARCH 24, 2023

We often refer to these issues as data freshness or stale data. For example: The source system could provide corrupt data or rows with excessive NULLs. A poorly coded data pipeline could introduce an error during the data ingestion phase as the data is being clean or normalized.

Data Validation 52

Data Validation Data Integration Data Cleanse Data Pipeline 52

Rockset

OCTOBER 26, 2022

We gained so much confidence in Rockset’s speed, scalability, and ease of use that we quickly moved the rest of our analytical operations to Rockset.

SQL 52

SQL NoSQL Database Aggregated Data 52

Cloudera

JANUARY 11, 2021

NiFi offers a wide range of protocols — MQTT, Kafka Protocol, HTTP, Syslog, JDBC, TCP/UDP, and more — to interact with when it comes to ingesting data. NiFi is a great, consistent, and unique software to manage all your data ingestion. The most common protocol is HTTP.

Kafka 62

Kafka Java Data Cleanse Datasets 62

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. This interconnected approach enables teams to create, manage, and automate data pipelines with ease and minimal intervention.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Snowflake

APRIL 20, 2023

Data Pipelines Snowpipe Streaming – public preview While data generated in real time is valuable, it is more valuable when paired with historical data that helps provide context. The company’s data is highly accurate, which makes deriving insights easy and decision-making truly fact based.

Medical 59

Medical Retail Python Pharmaceutical 59

Ascend.io

JANUARY 2, 2024

The sources of data can be incredibly diverse, ranging from data warehouses, relational databases, and web analytics to CRM platforms, social media tools, and IoT device sensors. Regardless of the source, data ingestion, which usually occurs in batches or as streams, is the critical first step in any data pipeline.

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

AltexSoft

MAY 12, 2023

Tools and platforms for unstructured data management Unstructured data collection Unstructured data collection presents unique challenges due to the information’s sheer volume, variety, and complexity. The process requires extracting data from diverse sources, typically via APIs.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Pinterest Engineering

OCTOBER 23, 2024

Figure 1 shows the information ingestion and resource allocation flow. Figure 1: Org-based-queue data ingestion and resource allocation process Resource Allocation Algorithm Improvement To learn more about the resource allocation algorithm, see our previous blog post: Efficient Resource Management at Pinterest’s Batch Processing Platform.

AWS 59

AWS Hadoop Management Algorithm 59

Monte Carlo

JULY 10, 2023

Data can go missing for nearly endless reasons, but here are a few of the most common challenges around data completeness: Inadequate data collection processes Data collection and data ingestion can cause data completion issues when collection procedures aren’t standardized, requirements aren’t clearly defined, and fields are incomplete or missing.

Data Collection 40

Data Collection Data Governance Government Data 40

Snowflake

JANUARY 18, 2023

For more information on how Snowflake can help your life sciences organization unlock the value of genomic data, visit Snowflake’s Healthcare & Life Sciences website. APPENDIX – Sample Functions for VCF File Data Ingestion: -- Copyright (c) 2022 Snowflake Inc. All Rights Reserved -- UDTF to ingest gzipped vcf file.

Pharmaceutical 98

Pharmaceutical AWS Java Healthcare 98

Striim

JULY 10, 2024

In contrast, data streaming offers continuous, real-time integration and analysis, ensuring predictive models always use the latest information. UPS Capital integrated Striim’s real-time data streaming with Google BigQuery’s analytics to enhance delivery security through immediate data ingestion and real-time risk assessments.

Management 52

Management Transportation Machine Learning High Quality Data 52

Knowledge Hut

MARCH 19, 2024

Amazon Kinesis Amazon Kinesis is a set of services completely managed and dedicated to real-time data streaming and analytics. It makes real-time streaming data collection, processing, and analytics possible for timely insight and decision-making for businesses.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Knowledge Hut

APRIL 23, 2024

It involves assessing the credibility and reputation of the sources from which the data is obtained. Data from trustworthy and reputable sources are more reliable and dependable. On the other hand, "methodology" refers to the techniques and procedures used for data collection, processing, and analysis.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Ascend.io

JANUARY 10, 2024

The goal is to ensure your organization has the capability to process and prepare data effectively for your AI models. Let’s dive into what this involves and how you can make it actionable in your own setting: Data Ingestion: First things first: getting the data into the system.

Data Pipeline 52

Data Pipeline Government Data Governance Raw Data 52

Confluent

FEBRUARY 21, 2019

It caused me to wonder if there was anything that I could do with my project HELK to apply some of the relationships presented in our talk, and enrich the data collected from my endpoints in real time. Which one you use depends on the particular use to which you are putting the data.

Process 83

Process Kafka SQL Datasets 83

DareData

JULY 5, 2023

Users: Who are users that will interact with your data and what's their technical proficiency? Data Sources: How different are your data sources? Latency: What is the minimum expected latency between data collection and analytics? And what is their format?

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

U-Next

JUNE 29, 2022

Data ingestion can be divided into two categories: . A batch is a method of gathering and delivering huge data groups at once. Conditions can trigger data collection, scheduled or done on the fly. A constant flow of data is referred to as streaming. For real-time data analytics, this is required.

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40