Data Engineering Podcast

AUGUST 21, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 100

LinkedIn Engineering

OCTOBER 19, 2023

In 2010, they introduced Apache Kafka , a pivotal Big Data ingestion backbone for LinkedIn’s real-time infrastructure. To transition from batch-oriented processing and respond to Kafka events within minutes or seconds, they built an in-house distributed event streaming framework, Apache Samza.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

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.

Scala 52

Scala Hospitality Healthcare Retail 52

Knowledge Hut

APRIL 25, 2023

Lambda architecture: A combination of both batch and real-time processing, the lambda architecture has three layers. The lambda architecture ensures completeness of data with minimal latency. Streaming data to Elasticsearch server from different databases. It is useful for Big Data ingestion.

Data Ingestion 52

Data Ingestion Lambda Architecture Raw Data Kafka 52

ProjectPro

AUGUST 24, 2021

This architecture shows that simulated sensor data is ingested from MQTT to Kafka. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase. Finally, the data is published and visualized on a Java-based custom Dashboard. This is called Hot Path.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52