Ascend.io

JULY 28, 2023

As companies become more data-driven, the scope and complexity of data pipelines inevitably expand. Without a well-planned architecture, these pipelines can quickly become unmanageable, often reaching a point where efficiency and transparency take a backseat, leading to operational chaos. What Is Data Pipeline Architecture?

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

Towards Data Science

APRIL 30, 2024

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. Windowing The organizer Windowing divides the data into finite chunks.

Google Cloud 61

Google Cloud Process Cloud Lambda Architecture 61

LinkedIn Engineering

MARCH 23, 2023

Co-Authors: Yuhong Cheng , Shangjin Zhang , Xinyu Liu, and Yi Pan Efficient data processing is crucial in reducing learning curves, simplifying maintenance efforts, and decreasing operational complexity. If the target processing is a real-time one, the job is deployed through Samza Cluster as a streaming job.

Process 97

Process Lambda Architecture Kafka Datasets 97

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 119

Process Lambda Architecture Kafka Machine Learning 119

Rockset

MAY 12, 2022

Though some data sources like event streams were starting to arrive in real time, neither data nor queries were time sensitive. Databases could just buffer, ingest and query data on a regular schedule. Finally, you could always plan ahead for bursty traffic and overprovision your database clusters and pipelines.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

Data Engineering Weekly

JULY 9, 2023

It talks about how to get adoption in your organization, a sample implementation, and the contract-driven architecture. link] Alibaba: The Thinking and Design of a Quasi-Real-Time Data Warehouse with Stream and Batch Integration Time interval data processing is the foundation of data engineering; regardless it’s batch or real-time.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

Monte Carlo

MARCH 14, 2023

This type of data ingestion leverages change data capture (CDC) to monitor transaction or redo logs on a constant basis, then move any changed data (e.g., a new transaction, an updated stock price, a power outage alert) to the destination data cloud without disrupting the database workload.

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 52