ProjectPro

JUNE 6, 2025

Did you know “ According to Google, Cloud Dataflow has processed over 1 exabyte of data to date.” The challenges of managing big data are well-known to anyone who has ever worked with it. Table of Contents Google Cloud(GCP) Dataflow and Apache Beam What is Google Cloud (GCP) Dataflow?

Google Cloud 40

Google Cloud Java Big Data SQL 40

phData: Data Engineering

NOVEMBER 8, 2024

This is particularly beneficial in complex analytical queries, where processing smaller, targeted segments of data results in quicker and more efficient query execution. Additionally, the optimized query execution and data pruning features reduce the compute cost associated with querying large datasets.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

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

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 40

Google Cloud Certification Cloud Machine Learning 40

ProjectPro

JUNE 6, 2025

But none of them could truly address the core limitations, especially when it came to managing schema changes, handling continuous data ingestion, or supporting concurrent writes without locking. The integration allows for efficient processing of streaming data, enabling timely insights into user behavior.

Architecture 40

Architecture Data Lake Metadata Cloud Storage 40

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 40

Data Engineer Data Engineering Google Cloud Engineering 40

ProjectPro

JUNE 6, 2025

Source- Building A Serverless Pipeline using AWS CDK and Lambda ETL Data Integration From GCP Cloud Storage Bucket To BigQuery This data integration project will take you on an exciting journey, focusing on extracting, transforming, and loading raw data stored in a Google Cloud Storage (GCS) bucket into BigQuery using Cloud Functions.

Data Integration 40

Data Integration Project Data Lake Hospitality 40

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.

Data Lake 60

Data Lake Metadata SQL Datasets 60

ProjectPro

JUNE 6, 2025

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

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

AWS is well-suited for hosting static websites, offering scalable storage with Amazon S3 and enhanced performance through CloudFront. Then, the cloud storage service Amazon S3 will host the website's static files, ensuring high availability and scalability. Use Google Cloud Storage to store and manage the data.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

Monte Carlo

NOVEMBER 22, 2024

At the front end, you’ve got your data ingestion layer —the workhorse that pulls in data from everywhere it lives. 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 52

Data Engineer Data Engineering Building Engineering 52

ProjectPro

JUNE 6, 2025

For such scenarios, data-driven integration becomes less comfortable, so you must prefer event-based data integration. This project will teach you how to design and implement an event-based data integration pipeline on the Google Cloud Platform by processing data using DataFlow.

Big Data 40

Big Data Coding Project Hadoop 40

ProjectPro

JUNE 6, 2025

Deployment & Real-Time Monitoring: Deploy the solution on cloud platforms like AWS Lambda, Azure Functions, or Google Cloud Run for scalable processing. APIs are used for real-time data ingestion and continuous risk monitoring. Data Required for the Project Order History & Patterns (e.g.,

Data Science 40

Data Science Project Management Transportation 40

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. Virtual Machines .

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

ProjectPro

FEBRUARY 6, 2023

With over 10 million active subscriptions, 50 million active topics, and a trillion messages processed per day, Google Cloud Pub/Sub makes it easy to build and manage complex event-driven systems. Google Pub/Sub provides global distribution of messages making it possible to send and receive messages from across the globe.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Monte Carlo

FEBRUARY 20, 2024

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder. Fivetran Image courtesy of Fivetran.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Knowledge Hut

AUGUST 18, 2023

With the rise of cloud computing, there’s no better time to explore the top Google Cloud Certifications that can take your career to new heights. Having gone through the process myself, I can attest to the immense value & recognition that comes with earning a Google Cloud Certification.

Google Cloud 52

Google Cloud Certification Cloud Cloud Computing 52

Towards Data Science

MARCH 5, 2024

In that case, queries are still processed using the BigQuery compute infrastructure but read data from GCS instead. Such external tables come with some disadvantages but in some cases it can be more cost efficient to have the data stored in GCS. Load data For data ingestion Google Cloud Storage is a pragmatic way to solve the task.

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Python Kafka Java 107

phData: Data Engineering

AUGUST 4, 2023

Within Snowflake, data can either be stored locally or accessed from other cloud storage systems. What are the Different Storage Layers Available in Snowflake? In Snowflake, there are three different storage layers available, Database, Stage, and Cloud Storage.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

Monte Carlo

APRIL 24, 2023

We continuously hear data professionals describe the advantage of the Snowflake platform as “it just works.” Snowpipe and other features makes Snowflake’s inclusion in this top data lake vendors list a no-brainer. This is a lot of work and for most companies, it takes them several months to set up a data lake.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Knowledge Hut

JUNE 26, 2023

Finnhub API with Kafka for Real-Time Financial Market Data Pipeline Project Overview: The goal of this project is to construct a streaming data pipeline by making use of the real-time financial market data API provided by Finnhub.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Rockset

MARCH 21, 2019

This makes turning any type of data—from JSON, XML, Parquet, and CSV to even Excel files—into SQL tables a trivial pursuit. We automatically build multiple general-purpose indexes on all data ingested into Rockset, so that we can eliminate the need for database administration and query tuning for a wide spectrum of applications.

SQL 52

SQL Data Management Management Engineering 52

AltexSoft

MAY 12, 2023

Tools and platforms for unstructured data management Unstructured data collection Unstructured data collection presents unique challenges due to the information’s sheer volume, variety, and complexity. The process requires extracting data from diverse sources, typically via APIs. Hadoop, Apache Spark).

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

AUGUST 24, 2021

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

AltexSoft

MARCH 30, 2023

Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. Besides that, it’s fully compatible with various data ingestion and ETL tools. Let’s see what exactly Databricks has to offer.

Scala 64

Scala Data Lake BI Google Cloud 64

Knowledge Hut

APRIL 25, 2023

Here, we'll take a look at the top data engineer tools in 2023 that are essential for data professionals to succeed in their roles. These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. What are Data Engineering Tools?

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

Monte Carlo

AUGUST 19, 2023

We’ll cover: What is a data platform? Recently, there’s been a lot of discussion around whether to go with open source or closed source solutions (the dialogue between Snowflake and Databricks’ marketing teams really brings this to light) when it comes to building your data platform.

Building 52

Building BI Data Lake Data Governance 52

Knowledge Hut

JULY 6, 2023

However, there are costs associated with data ingestion. Cloud Combine is popular among Azure DevTools for teaching because of its simplicity and beginner-friendly UI. It is compatible with top cloud providers’ cloud storage services like Microsoft Azure, Amazon Web Services, and Google Cloud.

Amazon Web Services 52

Amazon Web Services Data Lake Java SQL 52

AltexSoft

JULY 29, 2022

To facilitate data ingestion, there are Apache Flume aggregating log data from multiple servers and Apache Sqoop designed to transport information between Hadoop and relational (SQL) databases. It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

ProjectPro

MAY 31, 2021

For such scenarios, data-driven integration becomes less comfortable, so you must prefer event-based data integration. This project will teach you how to design and implement an event-based data integration pipeline on the Google Cloud Platform by processing data using DataFlow.

Big Data 52

Big Data Coding Project Hadoop 52

Confluent

OCTOBER 16, 2019

We want to resolve the location code ( loc_stanox ), and we can do so using the location reference data from the CIF data ingested into a separate Kafka topic and modelled as a KSQL table: SELECT EVENT_TYPE, ACTUAL_TIMESTAMP, LOC_STANOX, S.TPS_DESCRIPTION AS LOCATION_DESCRIPTION FROM TRAIN_MOVEMENTS_00 TM.

Kafka 19

Kafka Building Data Coding 19