ProjectPro

JUNE 6, 2025

Data pipelines streamline the movement and transformation of data from various sources to a destination, typically a database or data warehouse. Choose a tool that integrates with existing data sources, storage systems, and analytics platforms, supporting popular databases and formats. How Do Data Pipelines Work?

Data Pipeline 49

Data Pipeline Google Cloud Kafka AWS 49

ProjectPro

JUNE 6, 2025

With a CAGR of 30%, the NoSQL Database Market is likely to surpass USD 36.50 Two of the most popular NoSQL database services available in the industry are AWS DynamoDB and MongoDB. This blog compares these two popular databases- DynamoDB vs. MongoDB- to help you choose the best one for your data engineering projects.

NoSQL 40

NoSQL MongoDB Database Amazon Web Services 40

ProjectPro

JUNE 6, 2025

In 2024, the data engineering job market is flourishing, with roles like database administrators and architects projected to grow by 8% and salaries averaging $153,000 annually in the US (as per Glassdoor ). This project builds a comprehensive ETL and analytics pipeline, from ingestion to visualization, using Google Cloud Platform.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

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. This project demonstrates deploying a pre-built machine learning model using traditional and Dockerized approaches.

Data Science 69

Data Science Python Project Google Cloud 69

Towards Data Science

MARCH 6, 2023

It’s possible to go from simple ETL pipelines built with python to move data between two databases to very complex structures, using Kafka to stream real-time messages between all sorts of cloud structures to serve multiple end applications. Google Cloud Storage (GCS) is Google’s blob storage.

Google Cloud 98

Google Cloud Cloud Storage Data Pipeline Cloud 98

Snowflake

JUNE 10, 2025

Updates include: Data integration: With Python DB-API Support (private preview), developers can now use Snowpark to pull data from external relational databases directly into Snowflake. With Snowpark execution, customers have seen an average 5.6x faster performance and 41% cost savings over traditional Spark. [1]

Data Pipeline 89

Data Pipeline SQL Python Building 89

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

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

Companies are actively seeking talent in these areas, and there is a huge market for individuals who can manipulate data, work with large databases and build machine learning algorithms. For this task, you will need to be able to work with large databases, extract data, and manipulate it. Start working on them today!

Engineering 75

Engineering Deep Learning Software Engineer Software Engineering 75

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.

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45

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? services to users.

AWS 40

AWS Architecture Amazon Web Services Cloud Computing 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

ProjectPro

JUNE 6, 2025

Snowflake is not based on existing database systems or big data software platforms like Hadoop. On the other hand, Snowflake integrates an entirely new SQL query engine with unique cloud-native architecture. Snowflake is a data warehousing platform that runs on the cloud.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

ProjectPro

JUNE 6, 2025

They provide a centralized repository for data, known as a data warehouse, where information from disparate sources like databases, spreadsheets, and external systems can be integrated. He emphasizes on the relevance of AWS Redshift for AWS Users while acknowledging the growing popularity of BigQuery and Snowflake.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

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

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. Use cases are in-memory caches and open-source databases.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

Imagine you’re trying to answer a question, but instead of relying only on your memory (like a generative model does), you first look up relevant information from trusted sources, like a search engine or database. These vectors are stored in a vector database for quick retrieval. Reference Research Paper: [link] 4.

Architecture 52

Architecture Data Ingestion Google Cloud AWS 52

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. It minimizes processing load and ensures data accuracy by identifying and replicating these changes in near real-time.

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

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

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 Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

The role of a data engineer is to use tools for interacting with the database management systems. Project Idea: Build Regression (Linear, Ridge, Lasso) Models in NumPy Python Understand the Fundaments of Cloud Computing Eventually, every company will have to shift its data-related operations to the cloud.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

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

This growth is driven by the increasing adoption of cloud services and the need for agile and scalable infrastructure. Major cloud providers such as AWS, Microsoft Azure, and Google Cloud Platform have also adopted Terraform, offering integrations as a part of their service offerings. billion by 2028.

AWS 45

AWS Google Cloud Recruitment Cloud 45

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

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

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

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. Use Neo4j technologies to design a data warehouse section as a graph database.

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Deploy The API: Finally, deploy the API using a platform such as Heroku or AWS to make it accessible to users. Working on FastAPI projects can help individuals develop their coding skills, such as Python programming and database management. Create a new SQLAlchemy session and connect to the SQLite database.

Project 45

Project MongoDB Machine Learning AWS 45

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

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. Copy: This step involves using the 'copy into' command to copy the data into the Snowflake database table.

Amazon Web Services 40

Amazon Web Services Data Warehouse ETL Tools AWS 40

Cloud Academy

MAY 2, 2018

Cloud Academy’s latest Learning Paths go broad and deep—covering CI/CD, machine learning, AI, big data, and even preparation for the first AWS certification designed for non-technical staff. Both come together on Google Cloud Machine Learning Engine. In a word, culture.

Google Cloud 52

Google Cloud Machine Learning Big Data AWS 52

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. PREVIOUS NEXT <

Data Warehouse 40

Data Warehouse Cloud Google Cloud Cloud 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

ProjectPro

JUNE 6, 2025

A data engineer is often required to use APIs to retrieve data from databases. Project Idea: Time Series Analysis with Facebook Prophet Python and Cesium Psycopg2, pyodbc, sqlalchemy When one hears the word ‘database’, they are likely to think of data stored in the form of tables having various rows and columns.

Data Engineering 40

Data Engineering Data Engineer Python Engineering 40

ProjectPro

JUNE 6, 2025

Preparing for your next AWS cloud computing interview? Here’s the perfect resource for you- a list of top AWS Solutions Architect interview questions and answers! As the numerous advantages of cloud computing are gaining popularity, more and more businesses and individuals worldwide are starting to use the AWS platform.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

Knowledge Hut

NOVEMBER 16, 2023

This is a course or an ad hoc for students who are interested in learning MySQL and SQL servers and like to create, manage as well as maintain the huge data files and other database flavors available in the market. MongoDB Administrator MongoDB is a well-known NO-SQL database.

Technology 98

Technology MySQL MongoDB Google Cloud 98