ProjectPro

JUNE 6, 2025

Access various data resources with the help of tools like SQL and Big Data technologies for building efficient ETL data pipelines. Structured Query Language or SQL (A MUST!!): The role of a data engineer is to use tools for interacting with the database management systems.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

Snowflake

NOVEMBER 11, 2024

Snowflake Unistore consolidates both into a single database so users get a drastically simplified architecture with less data movement and consistent security and governance controls. SnowConvert is an easy-to-use code conversion tool that accelerates legacy relational database management system (RDBMS) migrations to Snowflake.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

ProjectPro

JUNE 6, 2025

List of the Best Data Warehouse Tools Amazon Redshift Google BigQuery Snowflake Microsoft Azure Synapse Analytics (Azure SQL Data Warehouse) Teradata Amazon DynamoDB PostgreSQL Hone Your Data Warehousing Skills with ProjectPro's Hands-On Expertise FAQs on Data Warehousing Tools What are Data Warehousing Tools? Practice makes a man perfect!

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

Looking to master SQL? Begin your SQL journey with confidence! This all-inclusive guide is your roadmap to mastering SQL, encompassing fundamental skills suitable for different experience levels and tailored to specific job roles, including data analyst, business analyst, and data scientist. But why is SQL so essential in 2023?

SQL 40

SQL Relational Database Business Analyst Database 40

Data Engineering Weekly

JUNE 1, 2025

Join Dagster and Neurospace to learn: - How to build AI pipelines with orchestration baked in - How to track data lineage for audits and traceability - Tips for designing compliant workflows under the EU AI Act Register for the technical session DuckDB: DuckLake - SQL as a Lakehouse Format DuckDB announced a new open table format, DuckLake.

Data Engineer 70

Data Engineer Data Engineering Engineering Relational Database 70

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?

AWS 40

AWS Architecture Amazon Web Services Cloud Computing 40

ProjectPro

JUNE 6, 2025

Amazon RDS and Aurora Serverless are two relational database services provided by AWS. RDS is a fully-managed service that sets up and manages cloud-based database servers, while Aurora Serverless is a relational database engine with a more advanced deployment process that does not require manual management of database servers.

Database 40

Database PostgreSQL MySQL Relational Database 40

ProjectPro

JUNE 6, 2025

Getting acquainted with MongoDB will give you insights into how non-relational databases can be used for advanced web applications, like the ones offered by traditional relational databases. The underlying model is the crucial conceptual difference between MongoDB and other SQL databases.

MongoDB 66

MongoDB Coding Project NoSQL 66

ProjectPro

JUNE 6, 2025

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. Regularly monitoring and auditing AWS CloudTrail logs helps promptly identify any unauthorized access or suspicious activities.

Data Engineer 40

Data Engineer Data Engineering Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

Amazon offers top database services, such as RDS, Aurora , Redshift , DynamoDB, etc., 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 Web Services 40

Amazon Web Services NoSQL Relational Database AWS 40

Knowledge Hut

NOVEMBER 16, 2023

There is a clear shortage of professionals certified with Amazon Web Services (AWS). As far as AWS certifications are concerned, there is always a certain debate surrounding them. AWS certification helps you reach new heights in your career with improved pay and job opportunities. What is AWS?

AWS 98

AWS Certification IT Amazon Web Services 98

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. Suppose a cloud solutions architect takes a course with hands-on experience with Azure Data Factory and AWS Lambda functions. Ratings/Reviews This course has an overall rating of 4.7

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

ProjectPro

JUNE 6, 2025

A detailed study report by Market Research Future (MRFR) projects that the cloud database market value will likely reach USD 38.6 AWS , the leading cloud database service provider, has revolutionized how businesses store and manage their data, offering unparalleled performance, scalability, and security.

Database 40

Database Technology Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

But this might be a complex task if a single cloud platform hosts your entire database. 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.

Project 40

Project Google Cloud AWS MongoDB 40

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. Choosing the right RDS instance type for your database workloads can be tricky when you have so many AWS RDS Instance types available.

PostgreSQL 40

PostgreSQL MySQL AWS Relational Database 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 ). by ingesting raw data into a cloud storage solution like AWS S3. Build your Data Engineer Portfolio with ProjectPro!

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

FAQs on Graph Databases What is a Graph Database? A graph database is a specialized database designed to efficiently store and query interconnected data. The Key Components of a Graph Database include - Nodes represent entities or objects within the data, such as a person, a place, or a product.

Database 40

Database Database-centric Relational Database MongoDB 40

ProjectPro

FEBRUARY 8, 2023

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. Well, AWS Glue is the answer to your problems! In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool.

AWS 98

AWS Scala Metadata Data Lake 98

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. You can access them by conducting SQL query operations in Snowflake, 3. Is Snowflake an ETL tool?

Amazon Web Services 40

Amazon Web Services Data Warehouse ETL Tools AWS 40

ProjectPro

JUNE 6, 2025

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. This database provides more flexible data storage and retrieval than typical relational databases. Is SQL Good for Big Data?

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 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 efficiently handle data processing and transformation tasks with AWS Lambda and Glue.

Data Integration 40

Data Integration Project Data Lake PostgreSQL 40

ProjectPro

JUNE 6, 2025

Knowing how database systems operate allows data modelers to perform their tasks using standard business tools more quickly and effectively. SQL Proficiency It is essential to be proficient in SQL, also known as "structured query language," if you want to work as a data modeler. to perform those tasks efficiently.

NoSQL 40

NoSQL ETL Tools Certification SQL 40

ProjectPro

JUNE 6, 2025

For implementing ETL, managing relational and non-relational databases, and creating data warehouses, big data professionals rely on a broad range of programming and data management tools. It has built-in machine learning algorithms, SQL, and data streaming modules. Why Are Big Data Tools Valuable to Data Professionals?

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

ProjectPro

JUNE 6, 2025

How would you create a Data Model using SQL commands? A primary key is a column or set of columns in a relational database management system table that uniquely identifies each record. List a few benefits of using surrogate keys in relational databases. Differentiate between OLAP and OLTP databases.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

PySpark allows you to process data from Hadoop HDFS , AWS S3, and various other file systems. PySpark SQL and Dataframes A dataframe is a shared collection of organized or semi-structured data in PySpark. This collection of data is kept in Dataframe in rows with named columns, similar to relational database tables.

Big Data 40

Big Data Data Process Process Kafka 40

Team Data Science

JANUARY 8, 2021

Data engineering function involve the fundamental understanding of data utilization skills such as coding, python, SQL database, relational database, AWS in the field of big data. It would even be an additional benefit for them to have expertise in computer networking as well.

Data Engineer 130

Data Engineer Data Engineering Engineering Unstructured Data 130

ProjectPro

JUNE 6, 2025

Depending on the demands for data storage, businesses can use internal, public, or hybrid cloud infrastructure, including AWS , Azure , GCP , and other popular cloud computing platforms. You can use the simplicity and adaptability of a multi-model database that scales to meet the demand to create your next application.

Data Engineer 40

Data Engineer Data Engineering PostgreSQL Engineering 40

ProjectPro

JUNE 6, 2025

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. Such type of a database is called a relational database.

Data Engineer 40

Data Engineer Data Engineering Python Engineering 40

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 Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

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. As of 2023, Azure has ~23% of the cloud market share, second after AWS, and it is getting more popular daily.

Data Lake 60

Data Lake Metadata SQL Datasets 60

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

ProjectPro

JUNE 6, 2025

Source Code- Anomaly Detection in IoT-based Security System AWS Snowflake Data Pipeline using Kinesis and Airflow This project will show you how to create a Snowflake Data Pipeline that connects EC2 logs to Snowflake storage and S3 post-transformation and processing using Airflow DAGs. It's a platform for ANSI SQL querying.

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Data Pipeline Tools AWS Data Pipeline Azure Data Pipeline Airflow Data Pipeline Learn to Create a Data Pipeline FAQs on Data Pipeline What is a Data Pipeline? A data pipeline automates the movement and transformation of data between a source system and a target repository by using various data-related tools and processes.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

Additional libraries on top of Spark Core enable a variety of SQL, streaming, and machine learning applications. Spark can integrate with Apache Cassandra to process data stored in this NoSQL database. Spark can connect to relational databases using JDBC, allowing it to perform operations on SQL databases.

Hadoop 68

Hadoop Metadata Java Datasets 68

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. They are skilled in programming languages like Python , SQL , or Scala and work with tools like Apache Spark , Talend, Informatica, or Apache Airflow.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

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.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59