Simon Späti

JUNE 16, 2025

That’s where databases shine, right? They offer numerous helpful features and a SQL interface for interaction. SSDs and fast storage are expensive, but storing data in a data lake on S3 or R2 is significantly cheaper, allowing you to save a greater amount of essential data.

Data Lake 130

Data Lake Data Warehouse Government SQL 130

ProjectPro

JUNE 6, 2025

At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. Did you know SQL is the top skill listed in 73.4% Almost all major tech organizations use SQL. According to the 2022 developer survey by Stack Overflow , Python is surpassed by SQL in popularity.

Data Engineer 45

Data Engineer Data Engineering SQL Engineering 45

ProjectPro

JUNE 6, 2025

Traditional databases often need help to capture these intricate relationships, leaving you with a fragmented view of your data. This is where graph databases come in— they’re like having a high-definition map that reveals every connection. Table of Contents What is a Graph Database? Why Graph Databases?

Database 40

Database Database-centric Relational Database MongoDB 40

ProjectPro

JUNE 6, 2025

Explore beginner-friendly and advanced SQL interview questions with answers, syntax examples, and real-world database concepts for preparation. Looking to land a job as a data analyst or a data scientist, SQL is a must-have skill on your resume. Data was being managed, queried, and processed using a popular tool- SQL!

SQL 40

SQL MySQL MongoDB Database 40

databricks

MAY 5, 2025

The imperative for modernization Traditional database solutions like SQL Server have struggled to keep up with the demands of modern data workloads due to a

SQL 69

SQL Database Data 69

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

Did you know that poorly optimized SQL queries can increase database response times by up to 80%? As datasets grow exponentially, the need for speed and precision in querying large databases becomes essential. This necessitates performing SQL query optimization to ensure efficient and effective database management.

SQL 40

SQL PostgreSQL MySQL Database 40

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

Given the broad range of databases (SQL Server, MySQL, etc.) available, people often compare SQL vs. PostgreSQL to determine the better choice for their data engineering project. The PostgreSQL server is a well-known open-source database system that extends the SQL language.

PostgreSQL 40

PostgreSQL SQL Programming Language MySQL 40

The Pragmatic Engineer

OCTOBER 17, 2024

The current database includes 2,000 server types in 130 regions and 340 zones. Results are stored in git and their database, together with benchmarking metadata. Databases:  SQLite files used to publish data Duck DB to query these files in the public APIs Cockroach DB : used to collect and store historical data.

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Cloud Metadata AWS Cloud Computing 330

Engineering at Meta

JANUARY 22, 2025

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). In this blog, we will delve into an early stage in PAI implementation: data lineage. Hack, C++, Python, etc.)

Data Warehouse 116

Data Warehouse SQL Programming Language Data 116

ProjectPro

JUNE 6, 2025

Ability to demonstrate expertise in database management systems. You may skip chapters 11 and 12 as they are less useful for a database engineer. Database Management Systems Softwares, called database management systems that assist in handling large datasets, are a part of data engineers’ everyday lives.

Data Engineer 94

Data Engineer Data Engineering Engineering Amazon Web Services 94

ProjectPro

JUNE 6, 2025

Say goodbye to database downtime, and hello to Amazon Aurora! A detailed study report by Market Research Future (MRFR) projects that the cloud database market value will likely reach USD 38.6 A detailed study report by Market Research Future (MRFR) projects that the cloud database market value will likely reach USD 38.6

Database 40

Database Technology Cloud PostgreSQL 40

Towards Data Science

JANUARY 7, 2025

One question that puzzled me, though, was how tools like the Debezium CDC connectors can read changes from MySQL and PostgreSQL databases. Change Data Capture (CDC) is a powerful and efficient tool for transmitting data changes from relational databases such as MySQL and PostgreSQL. Sure, transactional logs might be the answerbut why?

PostgreSQL 84

PostgreSQL MySQL Data Lake Bytes 84

Data Engineering Podcast

DECEMBER 24, 2023

RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products. With Materialize, you can!

Kafka 245

Kafka Data Lake High Quality Data SQL 245

ProjectPro

JUNE 6, 2025

According to a Stack Overflow survey, 8,786 data professionals use SQL making it the most common language for data operations. This survey report indicates that SQL will continue to be in high demand among industries due to its widespread applications. So, let's get started and discover the power of SQL!

SQL 40

SQL Entertainment Database-centric Healthcare 40

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

ProjectPro

JUNE 6, 2025

Are you ready to join the database revolution? Data is the new oil" has become the mantra of the digital age, and in this era of rapidly increasing data volumes, the need for robust and scalable database management solutions has never been more critical. With such mind-boggling data growth, traditional databases won't cut it anymore.

Database 40

Database Management MongoDB NoSQL 40

ProjectPro

JUNE 6, 2025

If you've ever wished you could use the simplicity of SQL while working with large datasets in Pandas, PandaSQL is here to make your life easier. This blog will introduce you to PandaSQL , a Python library that helps you execute SQL queries directly on Pandas DataFrames. Let's get started! Why Use Pandasql for Data Science Projects?

SQL 40

SQL Data Science Project Aggregated Data 40

KDnuggets

JUNE 9, 2025

What to build : Develop a script that pulls data from a source (spreadsheet, database, or API), generates a report, and emails it to a predefined list of recipients on a schedule. Email Report Generator Why its useful : If you regularly compile and send data reports via email, this automation can cut your workload substantially.

Python 111

Python Project Media Data Science 111

ProjectPro

JUNE 6, 2025

Microsoft offers Azure SQL Data Warehouse, a cloud-based data warehousing solution. This blog explores the Azure SQL Data Warehouse, its architecture, and its various features and benefits. What is Microsoft Azure SQL Data Warehouse? Each compute node begins processing its allocated chunk of data and adding it to storage.

Data Warehouse 40

Data Warehouse SQL Architecture IT 40

ProjectPro

JUNE 6, 2025

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. The databases are run on a single instance of 2VCPUs and 8GP memory.

NoSQL 40

NoSQL Database Hadoop Big Data 40

Christophe Blefari

OCTOBER 19, 2023

With dbt, you can apply software engineering practices to SQL development. Managing your SQL patrimony has never been easier. So, yes, dbt is cool but there is a common pattern with it: you accumulate SQL queries. Fast forward to 2 years later, you find yourself with hundreds or thousands of SQL queries. See the doc.

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Project Finance SQL Government 264

ProjectPro

JUNE 6, 2025

In this article, you will explore one such exciting solution for handling data in a better manner through AWS Athena , a serverless and low-maintenance tool for simplifying data analysis tasks with the help of simple SQL commands. are stored in a No-SQL database. It is a serverless big data analysis tool.

AWS 67

AWS SQL Big Data Raw Data 67

Christophe Blefari

JANUARY 11, 2025

Materialization of data warehouse layers — What are the consideration for every materialisation you should pick in your data warehouse layer: view, tables, schema vs. databases, etc. The best code is the code you never wrote — Every line of code is a form of debt—a liability that must be maintained and understood.

Data 130

Data Data Warehouse Programming Language Java 130

Snowflake

NOVEMBER 11, 2024

However, scaling LLM data processing to millions of records can pose data transfer and orchestration challenges, easily addressed by the user-friendly SQL functions in Snowflake Cortex. Traditionally, SQL has been limited to structured data neatly organized in tables.

Unstructured Data 98

Unstructured Data SQL AWS Healthcare 98

Christophe Blefari

MARCH 1, 2023

dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. In a simple words dbt sits on top of your raw data to organise all your SQL queries that are defining your data assets. a macro — a macro is a Jinja function that either do something or return SQL or partial SQL code.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

Christophe Blefari

MARCH 15, 2024

With yato you give a folder with SQL queries and it guesses the DAG and runs the queries in the right order. BigQuery supports DELETE to delete partitions in a SQL query. I'd like to do a bit of user research about yato, if you consider using it drop me a message please. Give a lot of insights on the market.

Metadata 272

Metadata Software Engineer Software Engineering Data Warehouse 272

KDnuggets

JUNE 6, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.

Python 97

Python Data Science Machine Learning Database 97

ProjectPro

JUNE 6, 2025

Since data needs to be accessible easily, organizations use Amazon Redshift as it offers seamless integration with business intelligence tools and helps you train and deploy machine learning models using SQL commands. Databases Top10 AWS Redshift Project Ideas and Examples for Practice AWS Redshift Projects for Beginners 1. Clusters 3.

Data Pipeline 64

Data Pipeline AWS Project Building 64

ProjectPro

JUNE 6, 2025

Looking to land a job as a data analyst or a data scientist, SQL is a must-have skill on your resume. Everyone uses SQL to query data and perform analysis, from the biggest names in tech like Amazon, Netflix, and Google to fast-growing seed-stage startups in data. Explain the various types of Joins present in SQL.

SQL 40

SQL MySQL MongoDB Data 40

ProjectPro

JUNE 6, 2025

Linked services are used majorly for two purposes in Data Factory: For a Data Store representation, i.e., any storage system like Azure Blob storage account, a file share, or an Oracle DB/ SQL Server instance. e.g., Stored Procedure, U-SQL, Azure Functions, etc. Can you Elaborate more on Data Factory Integration Runtime?

Data Lake 60

Data Lake Metadata SQL Datasets 60

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 82

Entertainment Data Lake Manufacturing Consulting 82

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

Analytics Vidhya

FEBRUARY 22, 2023

Introduction Data replication is also known as database replication, which is copying data to ensure that all information remains consistent across all data resources in real-time. data replication is like a safety net that keeps your information safe from disappearing or falling through the cracks. In most cases, data alters.

Database 276

Database Data NoSQL Datasets 276

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?

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

Snowflake

NOVEMBER 26, 2024

Before it migrated to Snowflake in 2022, WHOOP was using a catalog of tools — Amazon Redshift for SQL queries and BI tooling, Dremio for a data lake, PostgreSQL databases and others — that had ultimately become expensive to manage and difficult to maintain, let alone scale.

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Data Warehouse Cloud PostgreSQL Data Lake 104