ProjectPro

JUNE 6, 2025

Extraction- Data is extracted from multiple sources such as databases, applications, or files. Loading- Finally, the transformed data is loaded into a target system/destination, such as a data warehouse or database, for storage and analysis.

Data Integration 40

Data Integration Project Data Lake Hospitality 40

Cloudera

DECEMBER 8, 2021

CDP Operational Database (COD) is a real-time auto-scaling operational database powered by Apache HBase and Apache Phoenix. It is one of the main Data Services that runs on Cloudera Data Platform (CDP) Public Cloud. The main advantage of using S3 is that it is an affordable and deep storage layer. Test Environment.

Database 93

Database AWS Cloud Storage Datasets 93

ProjectPro

JUNE 6, 2025

Data Lake Architecture- Core Foundations How To Build a Data Lake From Scratch-A Step-by-Step Guide Tips on Building a Data Lake by Top Industry Experts Building a Data Lake on Specific Platforms How to Build a Data Lake on AWS? Tools like Apache Kafka or AWS Glue are typically used for seamless data ingestion.

Data Lake 40

Data Lake Building Hadoop Raw Data 40

ProjectPro

JUNE 6, 2025

Change Data Capture (CDC) It focuses on capturing only the changes made to a database since the last update. They also enhance the data with customer demographics and product information from their databases. Storage And Persistence Layer Once processed, the data is stored in this layer.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

Migrating to a public, private, hybrid, or multi-cloud environment requires businesses to find a reliable, economical, and effective data migration project approach. From migrating data to the cloud to consolidating databases, this blog will cover a variety of data migration project ideas with best practices for successful data migration.

Project 40

Project Google Cloud AWS MongoDB 40

Knowledge Hut

NOVEMBER 17, 2023

Thanks to cloud computing, services are now secure, reliable, and cost-effective. When we talk of top cloud computing providers, there are 2 names that are ruling the markets right now- AWS and Google Cloud. Hosting sites at AWS and Google Cloud has become fairly easy. Airbnb, Expedia, etc.

Google Cloud 98

Google Cloud AWS Cloud Cloud Computing 98

ProjectPro

JUNE 6, 2025

Before diving straight into the projects, let us understand the significance of working on cloud computing projects for big data professionals. Table of Contents Why You Must Work On Cloud Computing Projects? Project Idea: To build this AWS project , start designing and developing the static website using HTML, CSS, and JavaScript.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

Start Data Engineering

MARCH 27, 2021

This event can be a file creation on S3, a new database row, API call, etc. A common use case is to process a file after it lands on a cloud storage system.

AWS 100

AWS Cloud Storage Database Cloud 100

ProjectPro

JUNE 6, 2025

What kind of database is Snowflake? SQL database serves as the foundation for Snowflake. It is a columnar-stored relational database that integrates seamlessly with various tools, including Excel and Tableau. The data is organized in a columnar format in the Snowflake cloud storage. How does Snowflake store data?

Amazon Web Services 40

Amazon Web Services Data Warehouse ETL Tools AWS 40

ProjectPro

JUNE 6, 2025

It involves various technical skills, including database design, data modeling, and ETL (Extract, Transform, Load) processes. 2) Database Management A database management system is the foundation of any data infrastructure. and is accessed by data engineers with the help of NoSQL database management systems.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

Netflix Tech

DECEMBER 14, 2018

System Requirements Support for Structured Data The growth of NoSQL databases has broadly been accompanied with the trend of data “schemalessness” (e.g., We have chosen the high data capacity and high performance Cassandra (C*) database as the backend implementation that serves as the source of truth for all our data.

Media 99

Media Database Metadata Data Schemas 99

phData: Data Engineering

NOVEMBER 8, 2024

Cost Efficiency and Scalability Open Table Formats are designed to work with cloud storage solutions like Amazon S3, Google Cloud Storage, and Azure Blob Storage, enabling cost-effective and scalable storage solutions. Amazon S3, Azure Data Lake, or Google Cloud Storage).

Architecture 52

Architecture Systems Data Lake Google Cloud 52

ProjectPro

JUNE 6, 2025

Beginners should understand SQL fundamentals like SELECT statements, WHERE clauses, JOIN operations, and basic database concepts. Concepts such as data modeling , ETL (Extract, Transform, Load) processes, and data storage in a warehouse environment will be helpful for beginners who are willing to learn Snowflake Datawarehouse.

Data Warehouse 40

Data Warehouse SQL AWS Big Data 40

DataKitchen

NOVEMBER 5, 2024

By storing data in its native state in cloud storage solutions such as AWS S3, Google Cloud Storage, or Azure ADLS, the Bronze layer preserves the full fidelity of the data. Bronze layers can also be the raw database tables. Bronze layers should be immutable.

Architecture 79

Architecture Raw Data Pipeline-centric Data Ingestion 79

ProjectPro

JUNE 6, 2025

E.g., the Python operator executes Python code, and the Snowflake operator executes a query against the Snowflake database. Metadata Database : It stores past and current DAG runs, DAG configurations, and other metadata information. By default, it is an SQLite database, but you can choose from PostgreSQL, MySQL, and MS SQL databases.

Data Pipeline 63

Data Pipeline PostgreSQL Python Database 63

ProjectPro

JUNE 6, 2025

If you have heard about cloud computing , you would have heard about Microsoft Azure as one of the leading cloud service providers in the world, along with AWS and Google Cloud. As of 2023, Azure has ~23% of the cloud market share, second after AWS, and it is getting more popular daily.

Data Lake 60

Data Lake Metadata SQL Datasets 60

ProjectPro

JUNE 6, 2025

Cloud computing solves numerous critical business problems, which is why working as a cloud data engineer is one of the highest-paying jobs, making it a career of interest for many. Several businesses, such as Google and AWS , focus on providing their customers with the ultimate cloud experience.

Data Engineer 40

Data Engineer Data Engineering Google Cloud Engineering 40

DataKitchen

DECEMBER 9, 2024

They opted for Snowflake, a cloud-native data platform ideal for SQL-based analysis. AWS Redshift, GCP Big Query, or Azure Synapse work well, too. The team landed the data in a Data Lake implemented with cloud storage buckets and then loaded into Snowflake, enabling fast access and smooth integrations with analytical tools.

Pharmaceutical 65

Pharmaceutical Data Lake Cloud Storage Cloud 65

ProjectPro

JUNE 6, 2025

With it's seamless connections to AWS and Azure , BigQuery Omni offers multi-cloud analytics. With a response time of just a few milliseconds, BigQuery BI Engine offers insights into large databases. Additionally, the console provides access to other resources, including cloud storage.

Data Warehouse 40

Data Warehouse Cloud Google Cloud Cloud Storage 40

ProjectPro

JUNE 6, 2025

ELT works best in situations where smaller datasets don't entail extensive transformations; you possess the resources to retain ELT experts, a robust cloud-based target central database analyzes incoming data streams, organizations don’t need to adhere to GDPR or other regulatory requirements.

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

BigQuery - Battle of the Cloud Data Warehouse Tools What is Google BigQuery? A data warehouse is a data storage system that collects data from various sources to provide meaningful business insights. It is like a central location where quality data from multiple databases are stored. What is Amazon Redshift?

Data Warehouse 40

Data Warehouse Data Mining Google Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

The project builds a redshift database in the cluster with staging tables that include all the data imported from the s3 bucket. Use Neo4j technologies to design a data warehouse section as a graph database. It downloads the Yelp dataset in JSON format, connects to Cloud SDK through Cloud storage, and connects to Cloud Composer.

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

ProjectPro

JUNE 6, 2025

GCP offers 90 services that span computation, storage, databases, networking, operations, development, data analytics , machine learning , and artificial intelligence , to name a few. Th Google Cloud services like IOT core and Vertex AI are used in such smart devices.

Google Cloud 58

Google Cloud Project Data Lake Healthcare 58

ProjectPro

JUNE 6, 2025

Data Pipeline Tools AWS Data Pipeline Azure Data Pipeline Airflow Data Pipeline Learn to Create a Data Pipeline FAQs on Data Pipeline What is a Data Pipeline? Consequently, data stored in various databases lead to data silos -- big data at rest. The Importance of a Data Pipeline What is an ETL Data Pipeline?

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

Data Engineering Podcast

JUNE 12, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. What are the types of storage and data systems that you integrate with?

Unstructured Data 130

Unstructured Data MongoDB Scala MySQL 130

ProjectPro

JUNE 6, 2025

You can easily transition to other data-driven jobs such as data engineer , analyst, database developer, and scientist. He is an expert SQL user and is well in both database management and data modeling techniques. SQL and Database Architecture Database architecture expertise is essential for an ETL developer.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

The role of an ETL developer is to extract data from multiple sources, transform it into a usable format and load it into a data warehouse or any other destination database. SQL Proficiency in SQL for querying and manipulating data from various databases. ETL Developer Skills 1.

ETL Tools 40

ETL Tools Data Cleanse Data Warehouse Big Data 40

Knowledge Hut

SEPTEMBER 29, 2023

AWS, or Amazon Web Services, need no formal introduction given its enormous popularity. The most popular cloud technology is Amazon Web Services. It enables us developers to access more than 170 AWS services from anywhere at any time. What is an AWS Mindmap? There are various branches or subtopics under AWS Mindmap.

AWS 52

AWS Amazon Web Services Cloud Storage Relational Database 52

ProjectPro

JUNE 6, 2025

Python for ETL (Extract, Transform, Load) is a framework and set of tools that leverage the Python programming language to facilitate collecting, cleansing, and transferring data from various sources to a destination, typically a data warehouse or database. Data Extraction: Extraction is the first step of the ETL process.

Python 40

Python ETL Tools Data Warehouse Programming Language 40

Snowflake

APRIL 22, 2024

Magnite was operating its Snowflake data platform on AWS US West, whereas SpringServe had its presence on AWS US East. As business needs demanded more frequent data sharing across these units, the costs associated with transferring large data sets across these cloud regions also began to rise.

Cloud Storage 101

Cloud Storage AWS Cloud Technology 101

Knowledge Hut

MARCH 21, 2024

You've got AWS, a toolbox full of options from Amazon, and Firebase, a nifty tool belt from Google. AWS is like a big toolbox with lots of tools for big jobs, like building skyscrapers. But if you're a big company with complex needs, AWS might be better. AWS has globally located data centers.

AWS 52

AWS Cloud Storage NoSQL Cloud Computing 52

Knowledge Hut

NOVEMBER 16, 2023

AWS is still regarded as the innovator in the large-scale, reasonably priced cloud infrastructure and services provision. This cheat sheet might be useful for those seeking AWS careers or vying for AWS certifications. AWS Cheat Sheet Let's check what the AWS cloud cheat sheet is. Machine Learning.

AWS 52

AWS Amazon Web Services Cloud Computing Cloud Storage 52

ProjectPro

JUNE 6, 2025

Talend is a leading ETL and big data integration software with an open-source environment for data planning, integration, processing, and cloud storage. Three databases: one for audit data, one for activity monitoring, and one for administration metadata. The Git server stores project metadata, such as jobs and routines.

ETL Tools 45

ETL Tools Big Data Java Metadata 45

Data Engineering Podcast

SEPTEMBER 22, 2019

You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management.For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season.

Google Cloud 100

Google Cloud AWS Cloud Storage Data Lake 100

Cloudera

MARCH 31, 2021

In this first Google Cloud release, CDP Public Cloud provides built-in Data Hub definitions (see screenshot for more details) for: Data Ingestion (Apache NiFi, Apache Kafka). Google Cloud Storage buckets – in the same subregion as your subnets . CloudSQL database . Virtual Machines . Attached Disks.

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

JUNE 6, 2025

The journey begins with understanding the fundamentals of cloud computing, which can take approximately six to twelve months for beginners to transition to an intermediate level. How to Learn Cloud Computing Step-by-Step? Now, how can you start learning cloud computing?

Cloud Computing 40

Cloud Computing Cloud Google Cloud AWS 40