RandomTrees

SEPTEMBER 6, 2020

Lot of cloud-based data warehouses are available in the market today, out of which let us focus on Snowflake. Snowflake is an analytical data warehouse that is provided as Software-as-a-Service (SaaS). Built on new SQL database engine, it provides a unique architecture designed for the cloud.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Monte Carlo

APRIL 24, 2023

Snowpipe and other features makes Snowflake’s inclusion in this top data lake vendors list a no-brainer. Snowflake simplifies data ingestion, querying, and transformation through its built-in support for SQL and compatibility with numerous data processing and integration tools.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Knowledge Hut

APRIL 25, 2023

It is one of the most liked data engineering tools of the present day. It allows data engineers to easily build and customize data models and create interactive dashboards and reports. Key features: Interactive data exploration Real-time reporting Easy data modeling 3.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

ProjectPro

DECEMBER 7, 2021

In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. The structured data comprises data that can be saved and retrieved in a fixed format, like email addresses, locations, or phone numbers. Step 1- Automating the Lakehouse's data intake.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

SEPTEMBER 26, 2023

If you want a deep understanding of cloud computing, you can check out Cloud Computing online courses. Microsoft Azure's Azure Synapse, formerly known as Azure SQL Data Warehouse, is a complete analytics offering. Python: Widely used for data analysis, scripting, and machine learning. What is Azure Synapse?

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

DareData

JANUARY 30, 2023

Our goal is to help data scientists better manage their models deployments or work more effectively with their data engineering counterparts, ensuring their models are deployed and maintained in a robust and reliable way. DigDag: An open-source orchestrator for data engineering workflows. Stanford's Relational Databases and SQL.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Towards Data Science

MARCH 5, 2024

BigQuery separates storage and compute with Google’s Jupiter network in-between to utilize 1 Petabit/sec of total bisection bandwidth. The storage system is using Capacitor, a proprietary columnar storage format by Google for semi-structured data and the file system underneath is Colossus, the distributed file system by Google.

Bytes 70

Bytes Google Cloud Cloud Storage Utilities 70