ProjectPro

JUNE 6, 2025

With a 31% market share, Amazon Web Services (AWS) dominates the cloud services industry while making it user-friendly. With over 175 full features service offerings, organizations are head hunting for AWS data engineers who can help them build and maintain the entire AWS cloud infrastructure to keep the applications up and running.

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ProjectPro

JUNE 6, 2025

If you are about to start your journey in data analytics or are simply looking to enhance your existing skills, look no further. This blog will provide you with valuable insights, exam preparation tips, and a step-by-step roadmap to ace the AWS Data Analyst Certification exam.

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AWS Certification Data Analytics Big Data 52

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!

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AWS Amazon Web Services Google Cloud Cloud Storage 49

ProjectPro

JUNE 6, 2025

Becoming a successful aws data engineer demands you to learn AWS for data engineering and leverage its various services for building efficient business applications. Amazon Web Services, or AWS, remains among the Top cloud computing services platforms with a 34% market share as of 2022. What is Data Engineering??

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ProjectPro

JUNE 6, 2025

Explore the world of data analytics with the top AWS databases! Check out this blog to discover your ideal database and uncover the power of scalable and efficient solutions for all your data analytical requirements. Let’s understand more about AWS Databases in the following section.

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AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

This A-Z guide will walk you through the AWS Data Engineer Certification, providing insights, tips, and resources to streamline your certification journey. People often wonder why investing in AWS certifications is worth it? Table of Contents What is AWS Data Engineer Certification?

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Christophe Blefari

MARCH 1, 2023

dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. In terms of paradigms before 2012 we were doing ETL because storage was expensive, so it became a requirement to transform data before the data storage—mainly a data warehouse, to have the most optimised data for querying.

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Data Warehouse SQL Metadata Raw Data 278

ProjectPro

JUNE 6, 2025

Snowflake Features that Make Data Science Easier Building Data Applications with Snowflake Data Warehouse Snowflake Data Warehouse Architecture How Does Snowflake Store Data Internally? Its analytical skills enable companies to gain significant insights from their data and make better decisions.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

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 ). These trends underscore the growing demand and significance of data engineering in driving innovation across industries.

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Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

The AWS Big Data Analytics Certification exam holds immense significance for professionals aspiring to demonstrate their expertise in designing and implementing big data solutions on the AWS platform. In this blog, we will dive deep into the details of AWS Big Data Certification.

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Big Data AWS Certification Hadoop 40

ProjectPro

JUNE 6, 2025

As of 2021, Amazon Web Services (AWS) is the most popular vendor controlling 32% of the cloud infrastructure market share. AWS Cloud provides a wide range of on-demand solutions for data storage and movement, allowing companies to scale instantly and pay only for resources they use. How do I create an AWS Architecture?

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AWS Architecture Amazon Web Services Cloud Computing 40

ProjectPro

JUNE 6, 2025

Apache Airflow Project Ideas Build an ETL Pipeline with DBT, Snowflake and Airflow End-to-End ML Model Monitoring using Airflow and Docker AWS Snowflake Data Pipeline Example using Kinesis and Airflow 2. Apache Kafka offers a robust solution for permanent data storage in a distributed, durable, and fault-tolerant cluster.

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Data Pipeline Google Cloud Kafka AWS 49

ProjectPro

JUNE 6, 2025

Work in teams to create algorithms for data storage, data collection, data accessibility, data quality checks, and, preferably, data analytics. Connect with data scientists and create the infrastructure required to identify, design, and deploy internal process improvements.

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Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

Table of Contents What are Data Engineering Tools? Top 10+ Tools For Data Engineers Worth Exploring in 2025 Cloud-Based Data Engineering Tools Data Engineering Tools in AWS Data Engineering Tools in Azure FAQs on Data Engineering Tools What are Data Engineering Tools? AWS, Azure, GCP , etc.,

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Data Engineering Data Engineer Engineering Kafka 45

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.

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Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Snowflake Basic Interview Questions Below are some basic questions for the Snowflake data engineer interview. 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. Is Snowflake an ETL tool?

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ProjectPro

JUNE 6, 2025

This section will cover the most commonly asked questions for an Amazon Data Engineer interview. Candidates should focus on Data Modelling , ETL Processes, Data Warehousing, Big Data Technologies, Programming Skills, AWS services, data processing technologies, and real-world problem-solving scenarios.

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Data Engineering Data Engineer Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

We will now describe the difference between these three different career titles, so you get a better understanding of them: Data Engineer A data engineer is a person who builds architecture for data storage. They can store large amounts of data in data processing systems and convert raw data into a usable format.

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Engineering Deep Learning Software Engineer Software Engineering 75

ProjectPro

JUNE 6, 2025

FAQs on Data Engineering Skills Mastering Data Engineering Skills: An Introduction to What is Data Engineering Data engineering is the process of designing, developing, and managing the infrastructure needed to collect, store, process, and analyze large volumes of data.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? AWS Glue is here to put an end to all your worries! Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4

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ProjectPro

JUNE 6, 2025

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. Use the AWS Server Migration Service to perform data migration and AWS Transfer Family to support your file transfer.

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ProjectPro

JUNE 6, 2025

The following prerequisites serve as a strong foundation for beginners, ensuring they have the fundamental knowledge required to start learning Snowflake effectively- Basic SQL Knowledge Gaining familiarity with SQL is crucial since Snowflake relies heavily on SQL for data querying and manipulation.

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Data Warehouse SQL AWS Big Data 40

ProjectPro

JUNE 6, 2025

With global data creation expected to soar past 180 zettabytes by 2025, businesses face an immense challenge: managing, storing, and extracting value from this explosion of information. Traditional data storage systems like data warehouses were designed to handle structured and preprocessed data.

Data Lake 40

Data Lake Building Hadoop Raw Data 40

Christophe Blefari

JUNE 21, 2024

In the data world Snowflake and Databricks are our dedicated platforms, we consider them big, but when we take the whole tech ecosystem they are (so) small: AWS revenue is $80b, Azure is $62b and GCP is $37b. Using a quick semantic analysis, "The" means both want to be THE platform you need when you're doing data.

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Metadata Data Warehouse BI MySQL 147

ProjectPro

JUNE 6, 2025

Companies need ETL engineers to ensure data is extracted, transformed, and loaded efficiently, enabling accurate insights and decision-making. 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.

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Data Engineering Data Engineer Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

which allow users to create relational, graph, wide-column, and other use-case-specific data models. These databases are completely managed by AWS, relieving users of time-consuming activities like server provisioning, patching, and backup. Amazon DynamoDB is a NoSQL database that stores data as key-value pairs.

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Amazon Web Services NoSQL Relational Database AWS 40

ProjectPro

JUNE 6, 2025

BigQuery - Battle of the Cloud Data Warehouse Tools What is Google BigQuery? BigQuery Redshift vs. BigQuery - Battle of the Cloud Data Warehouse Tools Before diving into the differences, let us first understand data warehouses. It is like a central location where quality data from multiple databases are stored.

Data Warehouse 40

Data Warehouse Data Mining Google Cloud PostgreSQL 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.

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Data Integration Project Data Lake PostgreSQL 40

ProjectPro

JUNE 6, 2025

Data Migration Tools AWS Data Pipeline IBM Informix Fivetran Data Migration Services Azure Data Migration Service AWS Data Migration Service Best Practices for Data Migration Data Migration Challenges Build a Migration Plan and Adhere to it. What are the steps in data migration?

PostgreSQL 40

PostgreSQL AWS Data Warehouse Database 40

ProjectPro

JUNE 6, 2025

Why Are Big Data Tools Valuable to Data Professionals? It has built-in machine learning algorithms, SQL, and data streaming modules. Hadoop is scalable as it works in a distributed environment, unlike traditional systems that put a limit on the amount of data storage.

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Big Data Tools Big Data Hadoop Kafka 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

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

Source : Storage.googleapis.com This GCP project involves collecting different and real-time traffic data. This data is then analyzed and mined using business intelligence tools. Technologies like SQL are used on GCP. Data Lake using Google Cloud Platform What is a Data Lake?

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Google Cloud Project Data Lake Healthcare 58

ProjectPro

JUNE 6, 2025

With over more than one million active customers, AWS RDS is one of the most popular service in the AWS Portfolio used by thousands of organizations to power their relational databses. A key feature of AWS RDS that make it so popular is the ability to choose from a variety of AWS RDS Instances based on specifications and pricing.

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PostgreSQL MySQL AWS Relational Database 40

ProjectPro

JUNE 6, 2025

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. PaaS packages the platform for development and testing along with data, storage, and computing capability.

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Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

For this example, we will clean the purchase data to remove duplicate entries and standardize product and customer IDs. They also enhance the data with customer demographics and product information from their databases. You can use data loading tools like Sqoop or Flume to transfer the data from Kafka to HDFS.

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Towards Data Science

NOVEMBER 6, 2024

Spark has long allowed to run SQL queries on a remote Thrift JDBC server. The appropriate Spark dependencies (spark-core/spark-sql or spark-connect-client-jvm) will be provided later in the Java classpath, depending on the run mode. hadoop-aws since we almost always have interaction with S3 storage on the client side).

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Scala Java AWS Hadoop 75