Cloudera

MARCH 31, 2021

CDP Public Cloud is now available on Google Cloud. The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure.

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

Towards Data Science

MARCH 6, 2023

Companies targeting specifically data applications like Databricks, DBT, and Snowflake are exploding in popularity while the classic players (AWS, Azure, and GCP) are also investing heavily in their data products. Google Cloud Storage (GCS) is Google’s blob storage. I covered Spark in many other posts.

Google Cloud 98

Google Cloud Cloud Storage Data Pipeline Cloud 98

ProjectPro

JUNE 6, 2025

Flexera’s State of Cloud report highlighted that 41% of the survey respondents showed the most interest in using Google Cloud Platform for their future cloud computing projects. Google Cloud Platform is an online vendor of multiple cloud services which can be used publicly.

Google Cloud 58

Google Cloud Project Data Lake Healthcare 58

ProjectPro

JUNE 6, 2025

Project Idea 1: Deploying Machine Learning Models with Flask for Beginners Project Objective: The objective of this project is to deploy machine learning models using Flask or Streamlit on the Google Cloud Platform. It follows an end-to-end process for developing, building and managing machine learning models on AWS.

Data Science 69

Data Science Python Project Google Cloud 69

ProjectPro

JUNE 6, 2025

Suppose a cloud professional takes a course focusing on using AWS Glue and Apache Spark for ETL (Extract, Transform, Load) processes. Data engineering courses also teach data engineers how to leverage cloud resources for scalable data solutions while optimizing costs. Ratings/Reviews This course has an overall rating of 4.7

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45

ProjectPro

JUNE 6, 2025

List of the Best Data Warehouse Tools Amazon Redshift Google BigQuery Snowflake Microsoft Azure Synapse Analytics (Azure SQL Data Warehouse) Teradata Amazon DynamoDB PostgreSQL Hone Your Data Warehousing Skills with ProjectPro's Hands-On Expertise FAQs on Data Warehousing Tools What are Data Warehousing Tools?

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

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

A data engineer is expected to be adept at using ETL (Extract, Transform and Load) tools and be able to work with both SQL and NoSQL databases. Data engineers should also possess practical knowledge using diverse cloud platforms like AWS, Azure or GCP. These individuals make the connection between data and software.

Engineering 75

Engineering Software Engineering Deep Learning Software Engineer 75

ProjectPro

JUNE 6, 2025

As of 2021, Amazon Web Services (AWS) is the most popular vendor controlling 32% of the cloud infrastructure market share. Its closest competitors, Microsoft Azure and Google Cloud account for 29% of the total market share. How do I create an AWS Architecture?

AWS 40

AWS Architecture Amazon Web Services Cloud Computing 40

ProjectPro

JUNE 6, 2025

Snowflake is a Data Warehouse solution that supports ANSI SQL and is available as a SaaS (Software-as-a-Service). On the other hand, Snowflake integrates an entirely new SQL query engine with unique cloud-native architecture. Amazon Web Services , Google Cloud Platform, and Microsoft Azure support Snowflake.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

ProjectPro

JUNE 6, 2025

With the broad range of popular cloud data warehouse tools (Redshift, Azure , BigQuery, Snowflake, etc.) available, people often compare the market-leading competitors, Redshift vs. BigQuery, to choose the best tool for their cloud data warehouse solution. BigQuery - Battle of the Cloud Data Warehouse Tools What is Google BigQuery?

Data Warehouse 40

Data Warehouse Data Mining Google Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

Here is a guide on how to jumpstart your career as a data engineer on the Google Cloud Platform. 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. Obtain a GCP Certification 4.

Data Engineering 40

Data Engineering Data Engineer Google Cloud Engineering 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

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

Access various data resources with the help of tools like SQL and Big Data technologies for building efficient ETL data pipelines. Structured Query Language or SQL (A MUST!!): And one of the most popular tools, which is more popular than Python or R , is SQL. Experience with tools like Snowflake is considered a bonus.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

AWS or Azure? For instance, earning an AWS data engineering professional certificate can teach you efficient ways to use AWS resources within the data engineering lifecycle, significantly lowering resource wastage and increasing efficiency. Cloudera or Databricks? Table of Contents Why Are Data Engineering Skills In Demand?

Certification 40

Certification Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Data Warehouse Projects for Beginners From Beginner to Advanced level, you will find some data warehouse projects with source code, some Snowflake data warehouse projects, some others based on Google Cloud Platform (GCP), etc. We first create a GCP service account, then download the Google Cloud SDK.

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

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. The data is continually processed while it moves through the pipeline.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

Source: LinkedIn The rise of cloud computing has further accelerated the need for cloud-native ETL tools , such as AWS Glue , Azure Data Factory , and Google Cloud Dataflow. As more organizations shift to the cloud, the demand for ETL engineers with expertise in these platforms is soaring.

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

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

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. PREVIOUS NEXT <

Data Warehouse 40

Data Warehouse Cloud Google Cloud Big Data 40

ProjectPro

JUNE 6, 2025

The data integration aspect of the project is highlighted in the utilization of relational databases, specifically PostgreSQL and MySQL , hosted on AWS RDS (Relational Database Service). You will orchestrate the data integration process by leveraging a combination of AWS CDK, Python, and various AWS serverless technologies.

Data Integration 40

Data Integration Project PostgreSQL Data Lake 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

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. Is Snowflake an ETL tool?

Amazon Web Services 40

Amazon Web Services Data Warehouse ETL Tools AWS 40

Snowflake

JUNE 1, 2025

Cortex AISQL and analytics : By bringing multimodal data processing using AI into familiar SQL, Cortex AISQL (in public preview) makes complex AI workflows accessible and complements Snowflake's comprehensive unstructured data insights offering. Powered by models such as Claude 3.7 Sonnet , OpenAI GPT-4.1

Unstructured Data 90

Unstructured Data Google Cloud Government AWS 90

ProjectPro

JUNE 6, 2025

What are the different modes of deployment available on the Cloud? There are four modes, namely private cloud, public cloud, and hybrid cloud, community cloud. Public - A public cloud is free to use for anyone. E.g. AWS Cloud Connect. Stacks are a collection of AWS services.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

There are several popular data lake vendors in the market, such as AWS, Microsoft Azure , Google Cloud Platform , etc. Additionally, Data Lake Analytics comes with U-SQL, a query language that integrates the expressive capabilities of C# with the simple and declarative style of SQL.

Data Lake 40

Data Lake Big Data Architecture Cloud 40

ProjectPro

JUNE 6, 2025

Knowledge of SQL statements is required. Exam Duration: 60 minutes Certification Exam Cost: $100 USD AWS Big Data Certifications Here is one of the most widely recognized AWS big data certifications - Amazon Web Services Big Data Specialty Certification. Familiarity with scripting languages like PERL or RUBY is expected.

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

ProjectPro

JUNE 6, 2025

These chunks, along with additional data (from SQL databases, APIs, or other systems), are combined with the query to create an augmented prompt. 1) GCP RAG Architecture Here is a Google Cloud Platform (GCP) RAG architecture example composed of four interconnected components that work together to enable retrieval-augmented generation.

Architecture 52

Architecture Data Ingestion Google Cloud AWS 52

Data Engineering Podcast

NOVEMBER 20, 2022

Datafold shows how a change in SQL code affects your data, both on a statistical level and down to individual rows and values before it gets merged to production. 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.

Data Lake 130

Data Lake MongoDB Data Ingestion Scala 130

ProjectPro

JUNE 6, 2025

There are several ways of interacting with such databases and most of them are based on Structured Query Language (SQL). Project Idea: AWS Elk stack with a query example tutorial Master Data Engineering at your Own Pace with Project-Based Online Data Engineering Course ! Such type of a database is called a relational database.

Data Engineering 40

Data Engineering Data Engineer Python Engineering 40

Knowledge Hut

NOVEMBER 16, 2023

DBA – MySQL – SQL Server In this highly competitive as well as dynamic Software/IT industry, there is one course the one course, which is very popular and can give you a stable career, DBA. MongoDB Administrator MongoDB is a well-known NO-SQL database.

Technology 98

Technology MySQL MongoDB Google Cloud 98

ProjectPro

JUNE 6, 2025

It has built-in machine learning algorithms, SQL, and data streaming modules. Additionally, Spark provides a wide range of high-level tools, such as Spark Streaming , MLlib for machine learning, GraphX for processing graph data sets, and Spark SQL for real-time processing of structured and unstructured data.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

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

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. In addition, both options offer role-based access control (RBAC).

Google Cloud 40

Google Cloud Cloud Storage Data Lake Data Storage 40

ProjectPro

JUNE 6, 2025

If you are planning to earn professional certifications in big data and data engineering, there are some really valuable ones offered by leading cloud providers such as Microsoft Azure , AWS, and GCP. Azure's usage graph expands yearly, bringing it closer to AWS. Why Should Data Engineers Get The DP-900 Certification?

Certification 45

Certification Google Cloud Data Lake SQL 45