ProjectPro

JUNE 6, 2025

But this might be a complex task if a single cloud platform hosts your entire database. For this project idea, you need to synchronize source data between two cloud providers, for example, GCP and AWS , using AWS DataSync console, AWS Command Line Interface (CLI), or AWS SDKs.

Project 40

Project Google Cloud AWS MongoDB 40

ProjectPro

JUNE 6, 2025

However, this vision presents a critical challenge: how can you abstract away the messy details of underlying data structures and physical storage, allowing users to simply query data as they would a traditional table? Introduced by Facebook in 2009, it brought structure to chaos and allowed SQL access to Hadoop data.

Architecture 40

Architecture Data Lake Metadata Cloud Storage 40

ProjectPro

JUNE 6, 2025

Here are a few pointers to motivate you: Cloud computing projects provide access to scalable computing resources on platforms like AWS, Azure , and GCP, enabling a data scientist to work with large datasets and complex tasks without expensive hardware.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

JUNE 6, 2025

SQL database serves as the foundation for Snowflake. As is typical of a SQL database, Snowflake offers its query tool and enables multi-statement transactions, role-based security, etc. The data is organized in a columnar format in the Snowflake cloud storage. Briefly explain about Snowflake AWS.

Amazon Web Services 40

Amazon Web Services Data Warehouse ETL Tools AWS 40

ProjectPro

JUNE 6, 2025

The following prerequisites serve as a strong foundation for beginners, ensuring they have the fundamental knowledge required to start learning Snowflake effectively- Basic SQL Knowledge Gaining familiarity with SQL is crucial since Snowflake relies heavily on SQL for data querying and manipulation.

Data Warehouse 40

Data Warehouse SQL AWS Big Data 40

Snowflake

DECEMBER 4, 2023

With this public preview, those external catalog options are either “GLUE”, where Snowflake can retrieve table metadata snapshots from AWS Glue Data Catalog, or “OBJECT_STORE”, where Snowflake retrieves metadata snapshots directly from the specified cloud storage location. With these three options, which one should you use?

Building 122

Building Metadata Cloud Storage AWS 122

ProjectPro

JUNE 6, 2025

It involves connectors or agents that capture data in real-time from sources like IoT devices, social media feeds, sensors, or transactional systems using popular ingestion tools like Azure Synapse Analytics , Azure Event Hubs, Apache Kafka, or AWS Kinesis. 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

What are some popular use cases for cloud computing? Cloud storage - Storage over the internet through a web interface turned out to be a boon. With the advent of cloud storage, customers could only pay for the storage they used. What are the different modes of deployment available on the Cloud?

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

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

BigQuery - Battle of the Cloud Data Warehouse Tools What is Google BigQuery? BigQuery is a serverless, cost-effective multi-cloud data warehouse offered by Google. Companies use it to store and query data by enabling super-fast SQL queries, requiring no software installation, maintenance, or management. What is Amazon Redshift?

Data Warehouse 40

Data Warehouse Data Mining PostgreSQL Google Cloud 40

ProjectPro

JUNE 6, 2025

With it's seamless connections to AWS and Azure , BigQuery Omni offers multi-cloud analytics. The vendor's online interface, Snowsight, offers SQL functionality and other features. 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

Data Engineers usually opt for database management systems for database management and their popular choices are MySQL, Oracle Database, Microsoft SQL Server, etc. Project Idea: PySpark ETL Project-Build a Data Pipeline using S3 and MySQL Experience Hands-on Learning with the Best AWS Data Engineering Course and Get Certified!

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

These benefits compel businesses to adopt cloud data warehousing and take their success to the next level. Some excellent cloud data warehousing platforms are available in the market- AWS Redshift, Google BigQuery , Microsoft Azure , Snowflake , etc. What is Google BigQuery Used for?

Bytes 40

Bytes Google Cloud Data Warehouse Cloud Storage 40

ProjectPro

JUNE 6, 2025

ELT is an excellent option for importing data from a data lake or implementing SQL-based transformations. Hardware Most ETL tools perform optimally with on-premise storage servers, making the whole process expensive. Dataflows- Blob storage acts as a data retrieval source for Data Factory.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

By default, it is an SQLite database, but you can choose from PostgreSQL, MySQL, and MS SQL databases. If your DAG uses SQL script or Python function, place them in a separate file. The generated values are stored in Postgre SQL, and materialized views are created to view the results. DAG directory : It is a folder of DAG files.

Data Pipeline 63

Data Pipeline PostgreSQL Python Database 63

ProjectPro

JUNE 6, 2025

It downloads the Yelp dataset in JSON format, connects to Cloud SDK through Cloud storage, and connects to Cloud Composer. Cloud composer and PubSub outputs connect to Google Dataflow using Apache Beam. You can use Snowflake to create an enterprise-grade cloud data warehouse.

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 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

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? AWS Glue You can easily extract and load your data for analytics using the fully managed extract, transform, and load (ETL) service AWS Glue. What is a Big Data Pipeline?

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

Technologies like SQL are used on GCP. Check Out Top SQL Projects to Have on Your Portfolio It also uses Cloud Pub/Sub to receive notifications when data is uploaded in the Cloud Storage Bucket. 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

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 Engineering 40

Data Engineering Data Engineer Google Cloud Engineering 40

Towards Data Science

JUNE 19, 2023

A comparative analysis for AWS S3 development Continue reading on Towards Data Science »

AWS 94

AWS Python Data Science Cloud Storage 94

ProjectPro

JUNE 6, 2025

He is an expert SQL user and is well in both database management and data modeling techniques. On the other hand, a Data Engineer would have similar knowledge of SQL, database management, and modeling but would also balance those out with additional skills drawn from a software engineering background.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

However, unlike Snowflake, Databricks lacks a storage layer because it functions on top of object-level storage such as AWS S3, Azure Blob Storage, Google Cloud Storage, and others. Performance Snowflake is the most efficient for SQL and ETL operations.

Google Cloud 40

Google Cloud Cloud Storage Data Lake Data Storage 40

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

Data Engineering Podcast

JUNE 12, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Unstructured Data 130

Unstructured Data MongoDB Scala MySQL 130

ProjectPro

JUNE 6, 2025

SQL Proficiency in SQL for querying and manipulating data from various databases. Some popular ETL developer tools include Talend: An open-source data integration tool that provides services for data integration, data quality, data management, big data, and cloud storage. ETL Developer Skills 1.

ETL Tools 40

ETL Tools Data Cleanse Data Warehouse Big Data 40

ProjectPro

JUNE 6, 2025

Memory management, task monitoring, fault tolerance, storage system interactions, work scheduling, and support for all fundamental I/O activities are all performed by Spark Core. Additional libraries on top of Spark Core enable a variety of SQL, streaming, and machine learning applications. Discuss PySpark SQL in detail.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

Data from data warehouses is queried using SQL. Build Professional SQL Projects for Data Analysis with ProjectPro Data Marts: Data Marts may be segregated based on enterprise departments and store information related to a specific function of an organization. This layer should support both SQL and NoSQL queries.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

Cloudera

MARCH 31, 2021

Over the coming months, we will add additional services and cluster definitions – which are already available on our AWS and Azure versions – that will allow customers to: . Access new platform capabilities – such as the SQL Stream Builder. Google Cloud Storage buckets – in the same subregion as your subnets .

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

Cloudera

DECEMBER 21, 2021

Early in the year we expanded our Public Cloud offering to Azure providing customers the flexibility to deploy on both AWS and Azure alleviating vendor lock-in. A new capability called Ranger Authorization Service (RAZ) provides fine grained authorization on cloud storage. CDP Airflow Operators.

Data Engineering 118

Data Engineering Data Engineer Engineering Data Pipeline 118

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. Ducks go serverless Y’all know DuckDB at this point.

Engineering 96

Engineering Data Lake AWS BI 96

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

ThoughtSpot

MAY 31, 2023

Search and model assist hints are stored in the tenant specific cloud storage bucket. In our case, we use GPT to transform the user query to a SQL statement. The SQL is not used directly. This is used to influence the future results of users in the tenant context where the feedback is saved.

Data Security 98

Data Security Metadata Transportation Data Warehouse 98

Rockset

MARCH 21, 2019

We pushed the boundaries of the SQL type system to natively support dynamic typing , so that the need for ETL is eliminated in a large number of situations. This makes turning any type of data—from JSON, XML, Parquet, and CSV to even Excel files—into SQL tables a trivial pursuit.

SQL 52

SQL Data Management Management Engineering 52

ProjectPro

JUNE 6, 2025

Allows integration with other systems - Python is beneficial for integrating multiple scripts and other systems, including various databases (such as SQL and NoSQL databases), data formats (such as JSON, Parquet, etc.), Top 15 Data Analysis Tools to Explore in 2025 | Trending Data Analytics Tools 1. Power BI 4. Apache Spark 6. Qlikview 7.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

Knowledge Hut

DECEMBER 26, 2023

Examples of PaaS services in Cloud computing are IBM Cloud, AWS, Red Hat OpenShift, and Oracle Cloud Platform (OCP). SaaS Software as a Service is a cloud hosting model where users subscribe to gain access to services instead of purchasing software or equipment. and more 2.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 98

Cloudera

OCTOBER 26, 2020

*For clarity, the scope of the current certification covers CDP-Private Cloud Base. Certification of CDP-Private Cloud Experiences will be considered in the future. The certification process is designed to validate Cloudera products on a variety of Cloud, Storage & Compute Platforms. Query Result Cache.

Certification 87

Certification Cloud Kafka Cloud Storage 87