ProjectPro

JUNE 6, 2025

Unlock the Power of Google Cloud with Expert Certifications! Dive into our comprehensive guide on Google Cloud Certifications and discover the benefits, top certifications, and essential tips for acing these certification exams to become a certified cloud champion! " What is The Google Cloud Certification Path?

Google Cloud

ProjectPro

JUNE 6, 2025

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

ProjectPro

JUNE 6, 2025

A serverless, affordable, highly scalable data warehouse with integrated machine learning capabilities, Google BigQuery, is a useful product of the Google Cloud Platform. An increasing number of businesses, including Twitter, are using Google BigQuery to predict the precise volume of packages for their various offerings.

Google Cloud

Striim

JULY 15, 2025

Requires deep Kafka expertise and complex setup: Operating and scaling Confluent, particularly in on-premise or non-cloud-native environments, demands significant technical know-how of Kafka’s intricate architecture. Hybrid/Multi-Cloud Native: Deploys consistently across on-premises, cloud, and edge environments.

Kafka

ProjectPro

JUNE 6, 2025

Did you know “ According to Google, Cloud Dataflow has processed over 1 exabyte of data to date.” Table of Contents Google Cloud(GCP) Dataflow and Apache Beam What is Google Cloud (GCP) Dataflow? What is Google Cloud (GCP) Dataflow? History of GCP Dataflow Why use GCP Dataflow?

Google Cloud

phData: Data Engineering

NOVEMBER 8, 2024

Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. 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.

Architecture

Edureka

APRIL 22, 2025

The alternative, however, provides more multi-cloud flexibility and strong performance on structured data. Snowflake is a cloud-native platform for data warehouses that prioritizes collaboration, scalability, and performance. It provides real multi-cloud flexibility in its operations on AWS , Azure, and Google Cloud.

BI

RandomTrees

JULY 2, 2025

Now in Part 2, we’ll focus on building an Apache Airflow DAG that automatically reads SQL files from Cloud Storage and executes them in BigQuery. This approach simplifies transformation logic and brings automation into the data pipeline. Upload and Configure Airflow DAG 1.

Media

ProjectPro

JUNE 6, 2025

Cloud computing skills, especially in Microsoft Azure, SQL , Python , and expertise in big data technologies like Apache Spark and Hadoop, are highly sought after. This project builds a comprehensive ETL and analytics pipeline, from ingestion to visualization, using Google Cloud Platform.

Data Engineer

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. This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs.

Architecture

ProjectPro

JUNE 6, 2025

Storage And Persistence Layer Once processed, the data is stored in this layer. Stream processing engines often have in-memory storage for temporary data, while durable storage solutions like Apache Hadoop, Amazon S3, or Google Cloud Storage serve as repositories for long-term storage of processed data.

Data Ingestion

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. This project will guide you on loading data via the web interface, SnowSQL, or Cloud Provider.

Data Warehouse

ProjectPro

JUNE 6, 2025

With the global cloud data warehousing market likely to be worth $10.42 billion by 2026, cloud data warehousing is now more critical than ever. Cloud data warehouses offer significant benefits to organizations, including faster real-time insights, higher scalability, and lower overhead expenses. What is Google BigQuery Used for?

Bytes

ProjectPro

JUNE 6, 2025

Data Lake Architecture- Core Foundations Data lake architecture is often built on scalable storage platforms like Hadoop Distributed File System (HDFS) or cloud services like Amazon S3, Azure Data Lake, or Google Cloud Storage.

Data Lake

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.

Data Engineer

KDnuggets

AUGUST 4, 2025

What makes it useful : Integrates well with Git, works with cloud storage, and creates reproducible data pipelines. Whether youre deploying to Docker, Kubernetes, or cloud functions, BentoML handles the packaging and serving infrastructure. Think of it as a better Git that understands data science workflows.

Python

ProjectPro

JUNE 6, 2025

With 67 zones, 140 edge locations, over 90 services, and 940163 organizations using GCP across 200 countries - GCP is slowly garnering the attention of cloud users in the market. Google Cloud Platform is an online vendor of multiple cloud services which can be used publicly. In that case, you’re on the right page.

Google Cloud

ProjectPro

JUNE 6, 2025

According to a survey by IDG, the three most popular data migration projects include - consolidating data silos (47%), migrating data to the cloud (52%), and upgrading/replacing systems(46%). Data migration helps businesses in migrating data into a single storage system, such as a cloud data warehouse, data lake , or lakehouse.

Project

ProjectPro

JUNE 6, 2025

The result was Apache Iceberg, a modern table format built to handle the scale, performance, and flexibility demands of today’s cloud-native data architectures. Apache Iceberg is an open-source table format designed to handle petabyte-scale analytical datasets efficiently on cloud object stores and distributed data systems.

Architecture

ProjectPro

JUNE 6, 2025

Google cloud certifications have become more than proficiency badges; they are gateways to rewarding career opportunities. Among the numerous certifications available, Google Certified Professional Data Engineer stands out as a testament to one's expertise in handling and transforming data on the Google Cloud Platform.

Data Engineer

ProjectPro

JUNE 6, 2025

From bringing together information from various sources to instantly processing data and moving everything to the cloud, these approaches help businesses better manage their data for smarter decisions. Let us explore the types of data integration projects and how they work in different industries.

Data Integration

ProjectPro

JUNE 6, 2025

Are you looking to choose the best cloud data warehouse for your next big data project? This blog presents a detailed comparison of two of the very famous cloud warehouses - Redshift vs. BigQuery - to help you pick the right solution for your data warehousing needs. What is Google BigQuery? billion by 2028 from $21.18

Data Warehouse

ProjectPro

JUNE 6, 2025

Cloud-based data lakes like Amazon's S3, Azure's ADLS, and Google Cloud's GCS can manage petabytes of data at a lower cost. It allows data engineering teams to share data without replication, irrespective of underlying cloud object storage, i.e., S3, ADLS, or GCS, using tools like Spark, Rust, and Power BI.

Data Lake

KDnuggets

JULY 31, 2025

Apify is a developer favorite, but it also has scheduling, APIs, and cloud storage integrations that make it enterprise-ready. There’s a marketplace with thousands of ready-to-use Actors (for scraping Amazon, LinkedIn, you name it), and if you’re feeling creative, you can build your own with JavaScript or Python.

Google Cloud

ProjectPro

JUNE 6, 2025

Snowflake is one of the leading cloud-based data warehouses that integrate with various cloud infrastructure environments. The data is organized in a columnar format in the Snowflake cloud storage. The three layers of the snowflake architecture are cloud services, query processing, and data storage.

Amazon Web Services

ProjectPro

JUNE 6, 2025

This growth is due to the increasing adoption of cloud-based data integration solutions such as Azure Data Factory. 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. Why is ADF needed?

Data Lake

ProjectPro

JUNE 6, 2025

Cloud Computing Every business will eventually need to move its data-related activities to the cloud. Amazon Web Services (AWS), Google Cloud Platform (GCP) , and Microsoft Azure are the top three cloud computing service providers. And data engineers will likely gain the responsibility for the entire process.

Data Engineer

ProjectPro

JUNE 6, 2025

Want to put your cloud computing skills to the test? Dive into these innovative cloud computing projects for big data professionals and learn to master the cloud! Cloud computing has revolutionized how we store, process, and analyze big data, making it an essential skill for professionals in data science and big data.

Cloud Computing

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. In addition, both options offer role-based access control (RBAC). However, Snowflake makes scaling up and down simpler.

Google Cloud

ProjectPro

JUNE 6, 2025

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing? Thus came in the picture, Cloud Computing.

Cloud Computing

ProjectPro

JUNE 6, 2025

A notable component of this certification is the ' MLOps Engineering on AWS ' classroom training, designed to offer a comprehensive understanding of deploying and managing ML models effectively on cloud platforms. Software engineers looking to expand their skill set and dive into machine learning engineering on Google Cloud.

Certification

ProjectPro

JUNE 6, 2025

The advantage of gaining access to data from any device with the help of the internet has become possible because of cloud computing. The birth of cloud computing has been a boon for many individuals and the whole tech industry. Such exciting benefits of cloud computing have led to its rapid adoption by various companies.

Data Engineer

ProjectPro

JUNE 6, 2025

It includes a package manager and cloud hosting for sharing code notebooks and Python environments, which can help manage ETL workflows. It supports multiple execution engines, including Apache Flink and Google Cloud Dataflow, and provides a Python SDK for ETL development. Python's cloud SDKs simplify the process.

Python

ProjectPro

JUNE 6, 2025

Power BI With over 13,000 online community members, Power BI is a well-known cloud-based data analysis tool that offers quick insight and analyzes and visualizes data. Its powerful data integration is its key selling point; it works well with cloud sources like Google and Facebook analytics, text files, SQL servers, and Excel.

Data Analysis Tools

ProjectPro

JUNE 6, 2025

“Customers building their outward facing Web and mobile applications on public clouds while trying to build Hadoop applications on-premises should evaluate vendors offering it as-a-service. Leading Vendors of Hadoop –as-a-Service Amazon –Provides managed Hadoop across scalable elastic cloud compute instances.

Hadoop

ProjectPro

JUNE 6, 2025

Are you ready to start on a journey into cloud computing? This guide will guide you through the essential steps to learn cloud computing in 2024, equipping you with the resources, knowledge, and skills needed to navigate this rapidly evolving technology landscape. The Pre-requisites How Much Time Does it Take to Learn Cloud Computing?

Cloud Computing

Monte Carlo

NOVEMBER 22, 2024

Object storage solutions like Amazon S3 or Google Cloud Storage are perfect for this. Think of your data lake as a vast reservoir where you store raw data in its original form—great for when you’re not quite sure how you’ll use it yet.

Data Engineer