Ascend.io

JULY 28, 2023

” Data Stack Architecture : Your data stack architecture defines the technology and tools used to handle data, like databases, data processing platforms, analytic tools, and programming languages. Your data pipeline architecture is the blueprint for how data is processed to unlock this value.

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

Rockset

MAY 12, 2022

Lambda Architecture: Too Many Compromises A decade ago, a multitiered database architecture called Lambda began to emerge. Lambda systems try to accommodate the needs of both big data-focused data scientists as well as streaming-focused developers by separating data ingestion into two layers.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Database 52

Data Engineering Weekly

MARCH 26, 2023

Join Live Session LinkedIn: Unified Streaming And Batch Pipelines At LinkedIn: Reducing Processing time by 94% with Apache Beam One of the curses of adopting Lambda Architecture is the need for rewriting business logic in both streaming and batch pipelines.

Data Engineer 52

Data Engineer Data Engineering Engineering Lambda Architecture 52

Cloudera

NOVEMBER 2, 2020

An AdTech company in the US provides processing, payment, and analytics services for digital advertisers. Data processing and analytics drive their entire business. It is a type of data warehouse modernization that lets you have “small data” semantics and performance at “big data” scale. Data Model.

Data Warehouse 96

Data Warehouse Kafka Lambda Architecture BI 96

dbt Developer Hub

JUNE 30, 2020

When your data is small enough, this is the preferred approach, however it isn’t scalable. Because dbt is primarily designed for batch-based data processing, you should not schedule your dbt jobs to run continuously. What are lambda views? ​ The idea of lambda views comes from lambda architecture.

SQL 52

SQL Lambda Architecture Raw Data Architecture 52

Monte Carlo

MARCH 14, 2023

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Data ingestion is the process of acquiring and importing data for use, either immediately or in the future.

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 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 Healthcare Machine Learning 52

ProjectPro

AUGUST 24, 2021

This is an end-to-end big data project for building a data engineering pipeline involving data extraction, data cleansing, data transformation, exploratory analysis , data visualization, data modeling, and data flow orchestration of event data on the cloud.

Data Engineer 52

Data Engineer Data Engineering Coding Project 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 Engineer 52

Data Engineer Data Engineering Engineering Lambda Architecture 52