Setting up Data Lake on GCP using Cloud Storage and BigQuery
Analytics Vidhya
FEBRUARY 25, 2023
The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.
Analytics Vidhya
FEBRUARY 25, 2023
The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.
Knowledge Hut
FEBRUARY 29, 2024
A database is a structured data collection that is stored and accessed electronically. File systems can store small datasets, while computer clusters or cloud storage keeps larger datasets. According to a database model, the organization of data is known as database design.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Monte Carlo
APRIL 24, 2023
However, one of the biggest trends in data lake technologies, and a capability to evaluate carefully, is the addition of more structured metadata creating “lakehouse” architecture. Databricks Data Catalog and AWS Lake Formation are examples in this vein. AWS is one of the most popular data lake vendors.
Knowledge Hut
APRIL 25, 2023
Here, we'll take a look at the top data engineer tools in 2023 that are essential for data professionals to succeed in their roles. These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. What are Data Engineering Tools?
Cloudera
JUNE 25, 2021
Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. Cloud Credentials with limited / no permissions to data lake storage.
RandomTrees
SEPTEMBER 6, 2020
A combination of structured and semi structured data can be used for analysis and loaded into the cloud database without the need of transforming into a fixed relational scheme first. This stage handles all the aspects of data storage like organization, file size, structure, compression, metadata, statistics.
ProjectPro
DECEMBER 7, 2021
The Importance of a Data Pipeline What is an ETL Data Pipeline? What is a Big Data Pipeline? Features of a Data Pipeline Data Pipeline Architecture How to Build an End-to-End Data Pipeline from Scratch? In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline.
Let's personalize your content