Cloudera

SEPTEMBER 15, 2022

A key area of focus for the symposium this year was the design and deployment of modern data platforms. Mark: The first element in the process is the link between the source data and the entry point into the data platform. Ramsey International Modern Data Platform Architecture. Are there things they should keep in mind?

Data Lake 83

Data Lake Analytics Application Cloud Storage Architecture 83

Towards Data Science

APRIL 26, 2023

An open-source implementation of a Data Lake with DuckDB and AWS Lambdas A duck in the cloud. Photo by László Glatz on Unsplash In this post we will show how to build a simple end-to-end application in the cloud on a serverless infrastructure. The idea is to start from a Data Lake where our data are stored.

Engineering 96

Engineering Data Lake AWS BI 96

Edureka

JULY 3, 2024

ADF leverages compute services like Azure HDInsight, Spark, Azure Data Lake Analytics, or Machine Learning to process and analyze the data according to defined requirements. Publish: Transformed data is then published either back to on-premises sources like SQL Server or kept in cloud storage.

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

Knowledge Hut

JUNE 26, 2023

The incoming data would be analogous to an event that occurred when a person listened to music, navigated around the website, or authenticated themselves. The processing of the data would take place in real-time, and it would be saved to the data lake at regular intervals (every two minutes).

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Rockset

AUGUST 4, 2021

Without performant data ingestion, you run the risk of querying outdated values and returning irrelevant analytics. Snowflake provides a couple of ways to load data. The first, bulk loading, loads data from files in cloud storage or a local machine. This makes the data available sooner.

Data Ingestion 40

Data Ingestion Cloud Storage Data Warehouse Architecture 40

ProjectPro

FEBRUARY 16, 2023

They must load the raw data into a data warehouse for this analysis. There are numerous ways to import data into a data warehouse using SQL. For instance, data engineers can easily transfer the data onto a cloud storage system and load the raw data into their data warehouse using the COPY INTO command.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52