Ascend.io

JULY 28, 2023

Harnessing Data for Insights Data pipelines are the cornerstone of unlocking analytics, business intelligence, machine learning, and data-intensive applications. Your data pipeline architecture is the blueprint for how data is processed to unlock this value. Let’s dig deeper: 1.

Data Pipeline 52

Data Pipeline Architecture Lambda Architecture Data Architecture 52

Monte Carlo

MARCH 14, 2023

Also worth noting is lambda architecture-based data ingestion which is a hybrid model that combines features of both streaming and batch data ingestion. Data ingestion paired with data observability is the combination that can truly activate a company’s data into a game-changer for the business.

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 52

Cloudera

NOVEMBER 2, 2020

Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Figure 1 below shows a standard architecture for a Real-Time Data Warehouse. Optimized for point lookups, analytics, mutations, etc. with low latency and high concurrency. Data Model. Conventional enterprise data types.

Data Warehouse 94

Data Warehouse Kafka Lambda Architecture Telecommunication 94

ProjectPro

AUGUST 24, 2021

The current architecture is called Lambda architecture, where you can handle both real-time streaming data and batch data. It is a fully managed tool that supports data analysis, implementation of machine learning algorithms, geospatial analysis, and business intelligence solutions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Data Engineering Podcast

JULY 24, 2022

Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value.

Data Engineering 100

Data Engineering Data Engineer Lambda Architecture Engineering 100