ProjectPro

JUNE 6, 2025

Data engineering courses also teach data engineers how to leverage cloud resources for scalable data solutions while optimizing costs. Suppose a cloud data engineer completes a course that covers Google Cloud BigQuery and its cost-effective pricing model.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

ProjectPro

JUNE 6, 2025

The data is organized in a columnar format in the Snowflake cloud storage. Is Snowflake an ETL tool? Snowflake is an ETL tool that entails the following three stages: Extract: The first stage entails taking the data from the source and converting it into data files. Define staging in Snowflake.

Data Warehouse 40

Data Warehouse Amazon Web Services ETL Tools AWS 40

ProjectPro

JUNE 6, 2025

Let's kickstart our exploration of Python for ETL by understanding its foundations and how it can empower you to master the art of data transformation. Table of Contents What is Python for ETL? Why is Python Used for ETL? How to Use Python for ETL? ETL Engine: The ETL engine orchestrates the entire ETL process.

Python 40

Python ETL Tools Data Warehouse Programming Language 40

ProjectPro

JUNE 6, 2025

You will migrate data by synchronizing data between the two platforms in real-time using the Google Cloud Migrate for Compute Engine. Configure the Migrate for Compute Engine Manager to manage Google Cloud migration activities. Configure your Google Cloud account and establish your Google Cloud policies.

Project 40

Project Google Cloud AWS MongoDB 40

ProjectPro

JUNE 6, 2025

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. And data engineers are the ones that are likely to lead the whole process.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

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

Vendor-Specific Data Engineering Certifications The vendor-specific data engineer certifications help you enhance your knowledge and skills relevant to specific vendors, such as Azure, Google Cloud Platform, AWS, and other cloud service vendors. The rest of the exam details are the same as the DP-900 exam.

Certification 40

Certification Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Is Airflow an ETL Tool? Is Airflow Good for ETL? Apache Airflow is an open-source tool used for managing data pipeline workflows. It’s featured with many scalable, dynamic, and extensible operators that can be used to run tasks on Docker, Google Cloud, and Amazon Web Services, among several other integrations.

Data Pipeline 45

Data Pipeline Building Python Raw Data 45

dbt Developer Hub

NOVEMBER 22, 2022

Below is a summary table highlighting the core benefits and drawbacks of certain ETL tooling options for getting spreadsheet data in your data warehouse. You’ll need to authenticate your Google Account using an OAuth or a service account key and provide the link of the Google Sheet you want to pull into your data warehouse.

Data Warehouse 52

Data Warehouse ETL Tools Google Cloud Cloud Storage 52

ProjectPro

JUNE 6, 2025

Additionally, you can allow the tool to access and analyze data from Google technologies, including Campaign Manager 360, Google Analytics, MySQL , and Google Sheets. Looker Looker is one of the most widely used cloud-based business intelligence and data analytics applications, with over 51,779 community members.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

Monte Carlo

OCTOBER 10, 2024

Tools : Familiarity with data validation tools, data wrangling tools like Pandas , and platforms such as AWS , Google Cloud , or Azure. Data observability tools: Monte Carlo ETL Tools : Extract, Transform, Load (e.g., Data Validation Tools : Great Expectations, Apache Griffin.

Unstructured Data 52

Unstructured Data Google Cloud Machine Learning ETL Tools 52

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Edureka

AUGUST 29, 2024

ETL Tools: Worked on Apache NiFi, Talend, and Informatica. Big Data Technologies: Aware of Hadoop, Spark, and other platforms for big data. Certifications Obtaining certifications can enhance your resume and demonstrate your expertise.

Data Engineer 40

Data Engineer Data Engineering Engineering Generalist 40

Data Science Blog: Data Engineering

SEPTEMBER 19, 2023

So why using IaC for Cloud Data Infrastructures? AWS CloudFormation is a service offered by Amazon Web Services (AWS) that allows you to define cloud infrastructure in JSON or YAML templates. IaC Tools for Server Configuration There are many other IaC solutions and some of them are more focused on configuration of servers.

Data Warehouse 52

Data Warehouse Coding Systems Cloud 52

Ascend.io

AUGUST 31, 2023

These requirements are typically met by ETL tools, like Informatica, that include their own transform engines to “do the work” of cleaning, normalizing, and integrating the data as it is loaded into the data warehouse schema. Orchestration tools like Airflow are required to manage the flow across tools.

Data Lake 52

Data Lake Data Warehouse ETL Tools Data Pipeline 52

Knowledge Hut

MARCH 26, 2024

Cloud Solutions Architect Role Overview: Design and implement cloud-based solutions leveraging platforms like AWS, Azure, or Google Cloud to meet business objectives. The Cloud Computing course syllabus covers most aspects of this field in detail.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Databricks lakehouse platform architecture.

Scala 64

Scala Data Lake BI Google Cloud 64

Knowledge Hut

APRIL 19, 2023

Apache NiFi: An open-source data flow tool that allows users to create ETL data pipelines using a graphical interface. Talend: A commercial ETL tool that supports batch and real-time data integration.It provides connectors for data sources and symbols, as well as a visual interface for designing ETL pipelines.

Data Warehouse 52

Data Warehouse Business Intelligence ETL Tools Amazon Web Services 52

Monte Carlo

NOVEMBER 20, 2023

Popular categories of migration tools include: Database Management Systems (DBMS) : Tools like MySQL Workbench or Microsoft SQL Server Management Studio offer built-in migration assistants. ETL Tools : Extract, Transform, Load (ETL) tools such as Talend or Apache NiFi are designed for complex data integrations and migrations.

MongoDB 52

MongoDB ETL Tools Database Data 52

ProjectPro

FEBRUARY 21, 2023

Vendor-Specific Data Engineering Certifications The vendor-specific data engineer certifications help you enhance your knowledge and skills relevant to specific vendors, such as Azure, Google Cloud Platform, AWS, and other cloud service vendors. The rest of the exam details are the same as the DP-900 exam.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Rockset

JANUARY 28, 2022

Rockset works well with a wide variety of data sources, including streams from databases and data lakes including MongoDB , PostgreSQL , Apache Kafka , Amazon S3 , GCS (Google Cloud Service) , MySQL , and of course DynamoDB. Results, even for complex queries, would be returned in milliseconds.

NoSQL 52

NoSQL MongoDB PostgreSQL ETL Tools 52

Knowledge Hut

MARCH 28, 2024

Implement ETL processes to load data into the data warehouse from various source systems. Familiarity with ETL tools and techniques for data integration. Proficiency in SQL and experience with database management systems, data modeling, and ETL tools.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

dbt Developer Hub

NOVEMBER 28, 2021

From the Airflow side ​ A client has 100 data pipelines running via a cron job in a GCP (Google Cloud Platform) virtual machine, every day at 8am. In a Google Cloud Storage bucket. It was simple to set up, but then the conversation started flowing: “Where am I going to put logs?” Let’s export log events into BigQuery.

Google Cloud 52

Google Cloud SQL Consulting Cloud 52

ProjectPro

JUNE 6, 2025

After extracting raw data from popular sources, it loads it into cloud data platform destinations such as Amazon Redshift, Google BigQuery, Snowflake , and Azure. It efficiently develops data pipelines to integrate your data sources into major cloud data platforms, such as Google Cloud Platform (GCP) or AWS.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

ProjectPro

JUNE 6, 2025

Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing. Organizations employ a variety of providers including AWS, Google Cloud , and Azure for their BI and Machine Learning applications. What is the best way to capture streaming data in Azure?

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Edureka

JULY 16, 2024

A fast, secure, and cost-effective, petabyte-scale, managed cloud object storage platform. Google BigQuery : BigQuery is a data warehouse provided as a service by Google Cloud. Check out the AWS Tutorial for further details. AWS Redshift Alternatives: How Do Redshift Competitors Compare?

AWS 40

AWS Data Warehouse Amazon Web Services Business Intelligence 40

Knowledge Hut

JULY 6, 2023

Pricing is expensive compared to other Azure etl tools. 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

ProjectPro

JUNE 6, 2025

Whether you are looking to migrate your data to GCP, automate data integration, or build a scalable data pipeline, GCP's ETL tools can help you achieve your data integration goals. Numerous efficient ETL tools are available on Google Cloud, so you won't have to perform ETL manually and risk compromising the integrity of your data.

ETL Tools 40

ETL Tools Big Data Google Cloud Project 40

ProjectPro

JULY 27, 2021

Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing. Organizations employ a variety of providers including AWS, Google Cloud , and Azure for their BI and Machine Learning applications. What is the best way to capture streaming data in Azure?

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Striim

JANUARY 8, 2025

Acquire the Necessary Tools The foundation of operational analytics lies in having the right tools to handle diverse data sources and deliver real-time insights.

BI 52

BI Business Analyst Retail Raw Data 52