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. Table of contents Before we move on Introduction from the paper.

Google Cloud 92

Google Cloud Process Cloud Lambda Architecture 92

Rockset

MAY 12, 2022

Database makers have experimented with different designs to scale for bursts of data traffic without sacrificing speed, features or cost. Lambda Architecture: Too Many Compromises A decade ago, a multitiered database architecture called Lambda began to emerge. Google and other web-scale companies also use ALT.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Database 52

Data Engineering Weekly

JULY 9, 2023

[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. Each architectural pattern has its limitation.

Data Engineering 52

Data Engineering Data Engineer Engineering Lambda Architecture 52

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R. billion (2019 - 2022).

Scala 52

Scala Hospitality Machine Learning Healthcare 52

ProjectPro

AUGUST 24, 2021

So, working on a data warehousing project that helps you understand the building blocks of a data warehouse is likely to bring you more clarity and enhance your productivity as a data engineer. Data Analytics: A data engineer works with different teams who will leverage that data for business solutions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52