ProjectPro

JUNE 6, 2025

Moreover, there are 33,000 job openings for data warehouse engineers in the US, indicating that it will be a fantastic career choice in 2022. This blog will give you an in-depth overview of the role of a data warehouse engineer, along with the key responsibilities, essential skills, and salary.

Data Warehouse 40

Data Warehouse Engineering Business Intelligence Google Cloud 40

ProjectPro

JUNE 6, 2025

A Data Warehouse Schema is a structure that logically defines the contents of the Data Warehouse by making it easier to perform operations on it and maintain the Data Warehouse system. What is the Snowflake Schema in Data Warehouse?

Data Warehouse 40

Data Warehouse Relational Database Big Data Database 40

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. billion by 2028 from $21.18

Data Warehouse 40

Data Warehouse Data Mining Google Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

The worldwide data warehousing market is expected to be worth more than $30 billion by 2025. Data warehousing and analytics will play a significant role in a company’s future growth and profitability. Table of Contents What is Data Warehousing? Why Data Warehouse Projects Fail? So let's get started!

Data Warehouse 40

Data Warehouse Coding Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Unlock the power of your data with this comprehensive guide on how to design a data warehouse that delivers valuable insights to foster business growth! This also means businesses must design a data warehouse that is efficient enough to gain a competitive advantage. Identify relevant data sources.

Data Warehouse 40

Data Warehouse Designing Metadata Business Intelligence 40

ProjectPro

JUNE 6, 2025

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake?

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

Precisely

JANUARY 9, 2025

The goal of this post is to understand how data integrity best practices have been embraced time and time again, no matter the technology underpinning. In the beginning, there was a data warehouse The data warehouse (DW) was an approach to data architecture and structured data management that really hit its stride in the early 1990s.

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Data Integration Hadoop Data Warehouse Data Lake 119

ProjectPro

JUNE 6, 2025

The success or failure of a data warehouse project depends on the time taken to identify the right technology. You are likely to be aware of the two pioneers in data warehouse technologies, Snowflake and Google BigQuery , if you are a big data developer or simply a business owner who takes big data seriously.

Data Warehouse 40

Data Warehouse Cloud Google Cloud Cloud Storage 40

Striim

NOVEMBER 19, 2024

SQL2Fabric Mirroring is a new fully managed service offered by Striim to mirror on premise SQL Databases. It’s a collaborative service between Striim and Microsoft based on Fabric Open Mirroring that enables real-time data replication from on-premise SQL Server databases to Azure Fabric OneLake.

SQL 52

SQL Database Data Warehouse Data Pipeline 52

ProjectPro

JUNE 6, 2025

Microsoft offers Azure SQL Data Warehouse, a cloud-based data warehousing solution. It is one of the most reliable and efficient platforms and products in the data platform environment. This blog explores the Azure SQL Data Warehouse, its architecture, and its various features and benefits.

Data Warehouse 40

Data Warehouse SQL Architecture IT 40

Christophe Blefari

JANUARY 11, 2025

He listed 4 things that are the most difficult data integration tasks: from mutable data to IT migrations, everything adds complexity to ingestion systems. The software development lifecycle within a modern data engineering framework — A great deep-dive about a data platform using dltHub, dbt and Dagster.

Data 130

Data Data Warehouse Programming Language Coding 130

Engineering at Meta

JANUARY 22, 2025

In this blog, we will delve into an early stage in PAI implementation: data lineage. Data lineage refers to the process of tracing the journey of data as it moves through various systems, illustrating how data transitions from one data asset, such as a database table (the source asset), to another (the sink asset).

Data Warehouse 116

Data Warehouse SQL Programming Language Data 116

Seattle Data Guy

AUGUST 2, 2023

A few months ago, I uploaded a video where I discussed data warehouses, data lakes, and transactional databases. However, the world of data management is evolving rapidly, especially with the resurgence of AI and machine learning.

Data Lake 130

Data Lake Data Warehouse Data Machine Learning 130

Snowflake

APRIL 2, 2025

Data storage has been evolving, from databases to data warehouses and expansive data lakes, with each architecture responding to different business and data needs. Traditional databases excelled at structured data and transactional workloads but struggled with performance at scale as data volumes grew.

Data Lake 97

Data Lake Cloud Storage Metadata Data Warehouse 97

ProjectPro

JUNE 6, 2025

Data Engineering Requirements Here is a list of skills needed to become a data engineer: Highly skilled at graduation-level mathematics. Ability to demonstrate expertise in database management systems. You may skip chapters 11 and 12 as they are less useful for a database engineer.

Data Engineer 94

Data Engineer Data Engineering Engineering Amazon Web Services 94

Towards Data Science

JANUARY 28, 2024

How I organize everything in my new data warehouse Continue reading on Towards Data Science »

Data Warehouse 98

Data Warehouse Designing Data Science Data 98

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.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

Today, businesses use traditional data warehouses to centralize massive amounts of raw data from business operations. Amazon Redshift is helping over 10000 customers with its unique features and data analytics properties. Table of Contents AWS Redshift Data Warehouse Architecture 1. Client Applications 2.

Data Pipeline 64

Data Pipeline AWS Project Building 64

Christophe Blefari

MARCH 1, 2023

dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. This switch has been lead by modern data stack vision.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

ProjectPro

JUNE 6, 2025

As the demand for big data grows, an increasing number of businesses are turning to cloud data warehouses. The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

Towards Data Science

MAY 11, 2024

When architecting a transactional database or a data warehouse, it’s important not to forget about various types of technical columns… Continue reading on Towards Data Science »

Database Design 98

Database Design Database Designing Data Warehouse 98

ProjectPro

JUNE 6, 2025

So, read on to discover these essential tools for your data management needs. Table of Contents What are Data Warehousing Tools? Why Choose a Data Warehousing Tool? These tools are crucial in modern business intelligence and data-driven decision-making processes. This leads to more confident decision-making.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

Physical data model- The physical data model includes all necessary tables, columns, relationship constraints, and database attributes for physical database implementation. A physical model's key parameters include database performance, indexing approach, and physical storage. It makes data more accessible.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

Christophe Blefari

MARCH 15, 2024

Postgres creator launches DBOS, a transactional serverless computing platform — Mike sees DBOS like a cloud-native OS that runs on-top of the database in order to rethink application development and deployment. Arroyo, a stream-processing platform, rebuilt their engine using DataFusion.

Metadata 272

Metadata Data Warehouse Software Engineer Software Engineering 272

databricks

JUNE 11, 2025

Published: June 11, 2025 Announcements 5 min read by Ali Ghodsi , Stas Kelvich , Heikki Linnakangas , Nikita Shamgunov , Arsalan Tavakoli-Shiraji , Patrick Wendell , Reynold Xin and Matei Zaharia Share this post Keep up with us Subscribe Summary Operational databases were not designed for today’s AI-driven applications.

Entertainment 83

Entertainment Data Lake Manufacturing Consulting 83

ProjectPro

JUNE 6, 2025

Learn to Interact with the DBMS Systems Many companies keep their data warehouses far from the stations where data can be accessed. The role of a data engineer is to use tools for interacting with the database management systems. for working on cloud data warehouses.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

Towards Data Science

FEBRUARY 24, 2024

Best practice and advanced techniques for beginners Continue reading on Towards Data Science »

Data Warehouse 98

Data Warehouse Building Data Science Data 98

ProjectPro

JUNE 6, 2025

In this book, you will study technologies such as Hadoop, Storm , and NoSQL databases, in addition to a general framework for handling big data. Furthermore, the book provides readers with a realistic example of how to deploy and run big data systems once they're built and the method to implement them in practice.

Data Engineer 45

Data Engineer Data Engineering Engineering Lambda Architecture 45

Analytics Vidhya

FEBRUARY 1, 2023

Introduction Nowadays, organizations are looking for multiple solutions to deal with big data and related challenges.

Data Cleanse 223

Data Cleanse Data Warehouse Big Data Cloud 223

ProjectPro

JUNE 6, 2025

To gain a deeper understanding of Databricks Delta Lake and how it can revolutionize the way we approach data management, read on. Data Warehouse and its Limitations Data Lake and Its Limitations Data Lakehouse What is Databricks Delta Lake? Support streaming data applications to provide near real-time analysis.

Data Lake 63

Data Lake Data Warehouse Metadata Unstructured Data 63

ProjectPro

JUNE 6, 2025

Graduating from ETL Developer to Data Engineer Career transitions come with challenges. Suppose you are already working in the data industry as an ETL developer. You can easily transition to other data-driven jobs such as data engineer , analyst, database developer, and scientist. What is an ETL Developer?

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

It offers users a data integration tool that organizes data from many sources, formats it, and stores it in a single repository, such as data lakes, data warehouses , etc., Glue uses ETL jobs for extracting data from various AWS cloud services and integrating it into data warehouses and lakes.

AWS 66

AWS Scala Metadata Data Lake 66

Cloudera

DECEMBER 3, 2024

Rich set of SQL (query, DDL, DML) commands: Create or manipulate database objects, run queries, load and modify data, perform time travel operations, and convert Hive external tables to Iceberg tables using SQL commands. Create Database and Tables: Open HUE and execute the following to create a database and tables.

Metadata 84

Metadata SQL Data Warehouse Database 84

ProjectPro

JUNE 6, 2025

Azure Data Factory is a cloud-based, fully managed, serverless ETL and data integration service offered by Microsoft Azure for automating data movement from its native place to, say, a data lake or data warehouse using ETL (extract-transform-load) OR extract-load-transform (ELT).

Data Lake 60

Data Lake Metadata SQL Datasets 60

ProjectPro

JUNE 6, 2025

If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. Data engineers can perform any quality checks using the DDL commands in SQL.

Data Engineer 45

Data Engineer Data Engineering SQL Engineering 45

ProjectPro

JUNE 6, 2025

Amazon Redshift Amazon Redshift is a petabyte-scale data warehouse cloud service that enables you to leverage your data to discover new insights about your clients and organization. Data engineers can gain insights from data with Redshift Serverless by easily importing and querying data in the data warehouse.

AWS 52

AWS Data Engineer Data Engineering Project 52

Confessions of a Data Guy

JANUARY 12, 2023

Anyone who’s been roaming around the forest of Data Engineering has probably run into many of the newish tools that have been growing rapidly around the concepts of Data Warehouses, Data Lakes, and Lake Houses … the merging of the old relational database functionality with TB and PB level cloud-based file storage systems.

Data Lake 162

Data Lake Relational Database Data Warehouse Data Engineer 162