Data Ingestion and Events - Data Engineering Digest

What is Real-time Data Ingestion? Use cases, Tools, Infrastructure

Knowledge Hut

JULY 3, 2023

This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing. This refers to Real-time data ingestion. To achieve this goal, pursuing Data Engineer certification can be highly beneficial.

Data Ingestion

Data Ingestion Pipeline-centric Google Cloud Media

Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

Process

Process Lambda Architecture Kafka Machine Learning

Data Engineering Zoomcamp – Data Ingestion (Week 2)

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design.

Data Ingestion

Data Ingestion Data Engineering Data Engineer Engineering

Webinars

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MORE WEBINARS

A Dive into Apache Flume: Installation, Setup, and Configuration

Analytics Vidhya

MARCH 7, 2023

Introduction Apache Flume is a tool/service/data ingestion mechanism for gathering, aggregating, and delivering huge amounts of streaming data from diverse sources, such as log files, events, and so on, to centralized data storage. Flume is a tool that is very dependable, distributed, and customizable.

Data Ingestion

Data Ingestion Data Storage Hadoop Data

Data Engineering Weekly #168

Data Engineering Weekly

APRIL 21, 2024

link] RevenueCat: How we solved RevenueCat’s biggest challenges on data ingestion into Snowflake A common design feature of modern data lakes and warehouses is that Inserts and deletes are fast, but the cost of scattered updates grows linearly with the table size.

Data Engineering

Data Engineering Data Engineer Engineering Medical

How Snowflake Enhanced GTM Efficiency with Data Sharing and Outreach Customer Engagement Data

Snowflake

APRIL 9, 2024

For a more in-depth exploration, plus advice from Snowflake’s Travis Henry, Director of Sales Development Ops and Enablement, and Ryan Huang, Senior Marketing Data Analyst, register for our Snowflake on Snowflake webinar on boosting market efficiency by leveraging data from Outreach. Each of these sources may store data differently.

BI

BI Data Ingestion Data Aggregated Data

Sysmon Security Event Processing in Real Time with KSQL and HELK

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

Process Kafka Datasets SQL

Druid Deprecation and ClickHouse Adoption at Lyft

Lyft Engineering

NOVEMBER 29, 2023

Druid at Lyft Apache Druid is an in-memory, columnar, distributed, open-source data store designed for sub-second queries on real-time and historical data. Druid enables low latency (real-time) data ingestion, flexible data exploration and fast data aggregation resulting in sub-second query latencies.

Kafka

Kafka Data Ingestion Datasets Architecture

Configure and Manage Data Pipelines Replication in Snowflake with Ease

Snowflake

OCTOBER 3, 2023

We are excited to announce the availability of data pipelines replication, which is now in public preview. In the event of an outage, this powerful new capability lets you easily replicate and failover your entire data ingestion and transformations pipelines in Snowflake with minimal downtime.

Data Pipeline

Data Pipeline Management Data Ingestion Data

An Engineering Guide to Data Quality - A Data Contract Perspective - Part 2

Data Engineering Weekly

MAY 16, 2023

WAP [Write-Audit-Publish] Pattern The WAP pattern follows a three-step process Write Phase The write phase results from a data ingestion or data transformation step. In the 'Write' stage, we capture the computed data in a log or a staging area. Event Routers typically don’t alter the payload.

Engineering

Engineering Kafka Data Pipeline Data Warehouse

Google Cloud Pub/Sub: Messaging on The Cloud

ProjectPro

FEBRUARY 6, 2023

With over 10 million active subscriptions, 50 million active topics, and a trillion messages processed per day, Google Cloud Pub/Sub makes it easy to build and manage complex event-driven systems. Google Cloud Pub/Sub is a global, cloud-based messaging framework that has become increasingly popular among data engineers over recent years.

Google Cloud

Google Cloud Cloud Cloud Storage Data Ingestion

Comparing Snowflake Data Ingestion Methods with Striim

Striim

NOVEMBER 13, 2023

Introduction In the fast-evolving world of data integration, Striim’s collaboration with Snowflake stands as a beacon of innovation and efficiency. This mode is particularly useful for audit trails or scenarios where preserving the historical sequence of data changes is important.

Data Ingestion

Data Ingestion Utilities Data Integration Data

Clean Up Your Data Using Scalable Entity Resolution And Data Mastering With Zingg

Data Engineering Podcast

NOVEMBER 6, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

MongoDB

MongoDB Scala MySQL Data Lake

The Data Integration Solution Checklist: Top 10 Considerations

Precisely

MAY 13, 2024

A true enterprise-grade integration solution calls for source and target connectors that can accommodate: VSAM files COBOL copybooks open standards like JSON modern platforms like Amazon Web Services ( AWS ), Confluent , Databricks , or Snowflake Questions to ask each vendor: Which enterprise data sources and targets do you support?

Data Integration

Data Integration Metadata Amazon Web Services Data Governance

Power Your Real-Time Analytics Without The Headache Using Fivetran's Change Data Capture Integrations

Data Engineering Podcast

SEPTEMBER 25, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Food

Food MongoDB Scala MySQL

Discover And De-Clutter Your Unstructured Data With Aparavi

Data Engineering Podcast

JUNE 12, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Unstructured Data

Unstructured Data MongoDB Scala MySQL

The Need For Personalized Data Journeys for Your Data Consumers

DataKitchen

OCTOBER 20, 2023

’ It assigns unique identifiers to each data item—referred to as ‘payloads’—related to each event. By offering real-time tracking mechanisms and sending targeted alerts to specific consumers, a Payload DJ can immediately notify them of any changes, delays, or issues affecting their data.

Insurance

Insurance Pharmaceutical Data Data Ingestion

Top 10 AWS Applications and Their Use Cases [2024 Updated]

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

AWS Cloud Computing Amazon Web Services Relational Database

Re-Bundling The Data Stack With Data Orchestration And Software Defined Assets Using Dagster

Data Engineering Podcast

JULY 24, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

MongoDB

MongoDB Scala MySQL Data Lake

New Snowflake Features Released in February 2023

Snowflake

MARCH 21, 2023

In February, Snowflake launched new features around streaming data ingestion and data governance and improved SQL experience and performance, with enhancements to Search Optimization Service and more. Check out Felipe Hoffa’s video on how to use Snowsight to get from data to decision faster. © 2023 Snowflake Inc.

Retail

Retail Healthcare Data Ingestion Consulting

The Advantages Of Live Data-Streaming In The Competitive Financial Services Sector (Part II)

Cloudera

AUGUST 26, 2020

But if an exchange is able to process data in real-time and detect an unnatural pattern on this stock being traded at extremely high volumes which is affecting the value or price, it can trigger a stop immediately, preventing further disruption or manipulation. From a data ingestion standpoint, NiFi is designed for this purpose.

Banking

Banking Data Ingestion Kafka Data Lake

Data Teams and Their Types of Data Journeys

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Ingestion

Data Ingestion Data Government Datasets

New Snowflake Features Released in May–July 2023

Snowflake

AUGUST 16, 2023

Custom Event Billing capabilities enable you to build your own pricing strategy. You can charge customers based on their usage and specify billing events based on your preferences, such as consumed rows, ingested rows and more. What remains challenging is how streaming data is brought together with batch data.

Scala

Scala Transportation Kafka Data Lake

What is Streaming Analytics?

Cloudera

APRIL 20, 2021

Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. What is modern streaming architecture?

Hospitality

Hospitality Kafka Retail Data Ingestion

Joe Reis Flips The Script And Interviews Tobias Macey About The Data Engineering Podcast

Data Engineering Podcast

JULY 17, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Data Engineering

Data Engineering Data Engineer Engineering MongoDB

Accelerating Insight and Uptime: Predictive Maintenance

Cloudera

AUGUST 4, 2021

I will talk more about Predictive Maintenance in the Public Sector and how government agencies are optimizing equipment maintenance with data insight during Cloudera’s Industry Event on August 5. images, video, text, spectral data) or other input such as thermographic or acoustic signals. .

Unstructured Data

Unstructured Data Data Ingestion Government Machine Learning

Taking A Look Under The Hood At CreditKarma's Data Platform

Data Engineering Podcast

NOVEMBER 13, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Sign up free at dataengineeringpodcast.com/rudder Data teams are increasingly under pressure to deliver. In fact, while only 3.5%

MongoDB

MongoDB Scala MySQL Google Cloud

Analytics Engineering Without The Friction Of Complex Pipeline Development With Optimus and dbt

Data Engineering Podcast

OCTOBER 30, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Sign up free at dataengineeringpodcast.com/rudder Data teams are increasingly under pressure to deliver. In fact, while only 3.5%

Engineering

Engineering MongoDB Scala MySQL

Going From Transactional To Analytical And Self-managed To Cloud On One Database With MariaDB

Data Engineering Podcast

OCTOBER 23, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Database

Database MySQL Cloud MongoDB

An Exploration Of The Open Data Lakehouse And Dremio's Contribution To The Ecosystem

Data Engineering Podcast

OCTOBER 16, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Data Lake

Data Lake Food MongoDB Scala

Operational Analytics To Increase Efficiency For Multi-Location Businesses With OpsAnalitica

Data Engineering Podcast

SEPTEMBER 18, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Hospitality

Hospitality Food MongoDB Scala

Top 20 Azure Data Engineering Projects in 2023 [Source Code]

Knowledge Hut

NOVEMBER 2, 2023

Top 10 Azure Data Engineering Project Ideas for Beginners For beginners looking to gain practical experience in Azure Data Engineering, here are 10 Azure Data engineer real time projects ideas that cover various aspects of data processing, storage, analysis, and visualization using Azure services: 1.

Data Engineering

Data Engineering Data Engineer Coding Project

Maintain Your Data Engineers' Sanity By Embracing Automation

Data Engineering Podcast

JULY 10, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Data Engineering

Data Engineering Data Engineer Engineering MongoDB

Be Confident In Your Data Integration By Quickly Validating Matching Records With data-

Data Engineering Podcast

JULY 3, 2022

report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. In fact, while only 3.5% That’s where our friends at Ascend.io

Data Integration

Data Integration MongoDB Scala MySQL

Building Data Pipelines That Run From Source To Analysis And Activation With Hevo Data

Data Engineering Podcast

SEPTEMBER 11, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Data Pipeline

Data Pipeline Building MongoDB Scala

Rapid Delivery Of Business Intelligence Using Power BI

Data Engineering Podcast

OCTOBER 12, 2020

Our comprehensive data-level security, auditing and de-identification features eliminate the need for time-consuming manual processes and our focus on data and compliance team collaboration empowers you to deliver quick and valuable data analytics on the most sensitive data to unlock the full potential of your cloud data platforms.

Business Intelligence

Business Intelligence BI Consulting Data Ingestion

Investing In Understanding The Customer Journey At American Express

Data Engineering Podcast

OCTOBER 9, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Food

Food MongoDB Scala MySQL

Make Data Lineage A Ubiquitous Part Of Your Work By Simplifying Its Implementation With Alvin

Data Engineering Podcast

OCTOBER 2, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

IT

IT Food PostgreSQL MongoDB

Best Practices for Data Ingestion with Snowflake: Part 3

Snowflake

APRIL 19, 2023

Welcome to the third blog post in our series highlighting Snowflake’s data ingestion capabilities, covering the latest on Snowpipe Streaming (currently in public preview) and how streaming ingestion can accelerate data engineering on Snowflake. What is Snowpipe Streaming?

Data Ingestion

Data Ingestion Kafka Java Data Pipeline

Optimize Your Machine Learning Development And Serving With The Open Source Vector Database Milvus

Data Engineering Podcast

AUGUST 6, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Machine Learning

Machine Learning Database MySQL PostgreSQL

Strategies And Tactics For A Successful Master Data Management Implementation

Data Engineering Podcast

JUNE 26, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Data Management

Data Management Management MongoDB Scala

Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Low latency (real-time) data ingestion and querying.

BI

BI Digital Media Data Warehouse Kafka

New Snowflake Features Released in August 2023

Snowflake

SEPTEMBER 13, 2023

Business Continuity Data pipelines replication – public preview You can now easily replicate and failover your entire data ingestion and transformations pipelines in Snowflake. As a result, you should not rely on any forward-looking statements as predictions of future events. Learn more here. © 2023 Snowflake Inc.

Python

Python SQL Data Pipeline Data Ingestion

Data Alchemy: Turning Manual Analysis into Automated Gold

FreshBI

SEPTEMBER 11, 2023

Benefits of Power Automate Dynamic Data Refresh By utilizing Power Automate, you can establish triggers to refresh your data on a schedule or in response to specific events. Personalized Notifications Receive automated notifications when critical thresholds are reached, or new data becomes available for analysis.

BI

BI Consulting Datasets Data Ingestion

What is Real-time Data Ingestion? Use cases, Tools, Infrastructure

Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

Webinars

Trending Sources

Data Engineering Zoomcamp – Data Ingestion (Week 2)

Webinars

A Dive into Apache Flume: Installation, Setup, and Configuration

Data Engineering Weekly #168

How Snowflake Enhanced GTM Efficiency with Data Sharing and Outreach Customer Engagement Data

Sysmon Security Event Processing in Real Time with KSQL and HELK

Druid Deprecation and ClickHouse Adoption at Lyft

Configure and Manage Data Pipelines Replication in Snowflake with Ease

An Engineering Guide to Data Quality - A Data Contract Perspective - Part 2

Google Cloud Pub/Sub: Messaging on The Cloud

Comparing Snowflake Data Ingestion Methods with Striim

Clean Up Your Data Using Scalable Entity Resolution And Data Mastering With Zingg

The Data Integration Solution Checklist: Top 10 Considerations

Power Your Real-Time Analytics Without The Headache Using Fivetran's Change Data Capture Integrations

Discover And De-Clutter Your Unstructured Data With Aparavi

The Need For Personalized Data Journeys for Your Data Consumers

Top 10 AWS Applications and Their Use Cases [2024 Updated]

Re-Bundling The Data Stack With Data Orchestration And Software Defined Assets Using Dagster

New Snowflake Features Released in February 2023

The Advantages Of Live Data-Streaming In The Competitive Financial Services Sector (Part II)

Data Teams and Their Types of Data Journeys

New Snowflake Features Released in May–July 2023

What is Streaming Analytics?

Joe Reis Flips The Script And Interviews Tobias Macey About The Data Engineering Podcast

Accelerating Insight and Uptime: Predictive Maintenance

Taking A Look Under The Hood At CreditKarma's Data Platform

Analytics Engineering Without The Friction Of Complex Pipeline Development With Optimus and dbt

Going From Transactional To Analytical And Self-managed To Cloud On One Database With MariaDB

An Exploration Of The Open Data Lakehouse And Dremio's Contribution To The Ecosystem

Operational Analytics To Increase Efficiency For Multi-Location Businesses With OpsAnalitica

Top 20 Azure Data Engineering Projects in 2023 [Source Code]

Maintain Your Data Engineers' Sanity By Embracing Automation

Be Confident In Your Data Integration By Quickly Validating Matching Records With data-

Building Data Pipelines That Run From Source To Analysis And Activation With Hevo Data

Rapid Delivery Of Business Intelligence Using Power BI

Investing In Understanding The Customer Journey At American Express

Make Data Lineage A Ubiquitous Part Of Your Work By Simplifying Its Implementation With Alvin

Best Practices for Data Ingestion with Snowflake: Part 3

Optimize Your Machine Learning Development And Serving With The Open Source Vector Database Milvus

Strategies And Tactics For A Successful Master Data Management Implementation

Simplify Metrics on Apache Druid With Rill Data and Cloudera

New Snowflake Features Released in August 2023

Data Alchemy: Turning Manual Analysis into Automated Gold

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