ProjectPro

JUNE 6, 2025

This comprehensive blog will explore the key benefits and features of AWS Aurora and also discuss how Aurora compares to traditional enterprise databases like MySQL and PostgreSQL. Aurora also supports parallel query processing, which can significantly speed up complex queries.

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ProjectPro

JUNE 6, 2025

Such an immense volume of data requires more than just storage; it demands complex data processing workloads to organize, manage, and analyze it effectively. They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB.

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ProjectPro

JUNE 6, 2025

Use Cases for General Purpose RDS Instances The M instance family is ideal for small to medium-sized databases, memory-intensive data processing activities, cluster computing, and other enterprise applications.If High-performance databases, including relational ones like MySQL and NoSQL ones like MongoDB and Cassandra. micro, db.t3.micro,

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Workfall

MARCH 28, 2023

This blog will demonstrate to you how Hasura and PostgreSQL can help you accelerate app development and easily launch backends. In this blog, we will cover: GraphQL Hasura PostgreSQL Hands-on Conclusion GraphQL GraphQL is an API query language and runtime for answering queries with existing data. Why Hasura is Fast?

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PostgreSQL Coding MySQL Database 75

Data Engineering Podcast

MARCH 2, 2020

The ksqlDB project was created to address this state of affairs by building a unified layer on top of the Kafka ecosystem for stream processing. The ksqlDB project was created to address this state of affairs by building a unified layer on top of the Kafka ecosystem for stream processing.

Kafka 100

Kafka Process PostgreSQL MySQL 100

Cloudera

AUGUST 10, 2022

Cloudera has a strong track record of providing a comprehensive solution for stream processing. Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. Cloudera Stream Processing Community Edition.

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Process Kafka PostgreSQL MySQL 91

ProjectPro

JUNE 6, 2025

Additionally, it natively supports data hosted in Amazon Aurora , Amazon RDS, Amazon Redshift , DynamoDB, and Amazon S3, along with JDBC-type data stores such as MySQL, Oracle, Microsoft SQL Server, and PostgreSQL databases in your Amazon Virtual Private Cloud, and MongoDB client stores (MongoDB, Amazon DocumentDB). Libraries No.

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ProjectPro

JUNE 6, 2025

Here are the key points you must focus on while learning about Airflow Schedulers - You must understand how the scheduler processes DAG files to comprehend the core functioning of the Airflow Scheduler. You must know the process of writing your own executor in Airflow. How to Learn about Schedulers?

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Snowflake

JUNE 13, 2024

Snowflake is launching native integrations with some of the most popular databases, including PostgreSQL and MySQL. With other ingestion improvements and our new database connectors, we are smoothing out the data ingestion process, making it radically simple and efficient to bring data to Snowflake.

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Data Ingestion MySQL PostgreSQL Data Pipeline 115

Netflix Tech

DECEMBER 17, 2019

CDC is becoming increasingly popular for use cases that require keeping multiple heterogeneous datastores in sync (like MySQL and ElasticSearch) and addresses challenges that exist with traditional techniques like dual-writes and distributed transactions [3][4]. Some of DBLog’s features are: Processes captured log events in-order.

MySQL 91

MySQL PostgreSQL Database Transportation 91

Netflix Tech

DECEMBER 17, 2019

CDC is becoming increasingly popular for use cases that require keeping multiple heterogeneous datastores in sync (like MySQL and ElasticSearch) and addresses challenges that exist with traditional techniques like dual-writes and distributed transactions [3][4]. Some of DBLog’s features are: Processes captured log events in-order.

MySQL 86

MySQL PostgreSQL Database Transportation 86

ProjectPro

JUNE 6, 2025

Cloud SQL Cloud SQL is a completely managed relational database service for SQL Server, MySQL, and PostgreSQL. Another use case for Cloud SQL as an ETL tool is for real-time data processing. Google Pub/Sub is a powerful tool for building ETL pipelines due to its scalability, reliability, and real-time processing capabilities.

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ProjectPro

JUNE 6, 2025

The process of merging and integrating data from several sources into a logical, unified view of data is known as data integration. The process of merging and integrating data from several sources into a logical, unified view of data is known as data integration. Data integration projects revolve around managing this process.

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ProjectPro

JUNE 6, 2025

You’ll walk through each stage of the data processing workflow, similar to what’s used in production-grade systems. Extract, Transform, and Load (ETL) is a process that lies at the core of every application, from dashboards to machine learning models. You don’t want to do this manually every day, right?

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ProjectPro

JUNE 6, 2025

SQL Query optimization is a crucial process in database management systems (DBMS) aimed at improving the efficiency of query execution. Query optimization ensures that the database system can handle large amounts of data and complex queries swiftly and effectively, reducing the overall time and resources needed for query processing.

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Knowledge Hut

DECEMBER 21, 2023

In the database ecosystem, Postgres is one of the top open-source databases, and one of the most widely used PSQL tools for managing PostgreSQL is pgAdmin. To run PostgreSQL instances on the Azure cloud, Azure offers Azure Database for PostgreSQL. What are PostgreSQL Tools? Why Use a GUI Tool?

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PostgreSQL MySQL MongoDB SQL 52

ProjectPro

JUNE 6, 2025

Conceptual data modeling refers to the process of creating conceptual data models. Physical data modeling is the process of creating physical data models. This is the process of putting a conceptual data model into action and extending it. The process of creating logical data models is known as logical data modeling.

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ProjectPro

JUNE 6, 2025

Data was being managed, queried, and processed using a popular tool- SQL! Examples include MySQL, PostgreSQL, and Oracle. Examples of popular SQL dialects include: MySQL: Widely used in web development; supports functions like LIMIT for pagination. Yes, you heard that right! What is RDBMS? Each row is a record.

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Knowledge Hut

DECEMBER 21, 2023

That is why we have compiled a MySQL tools list to consider in 2024. These advances help you improve your process and easily extract useful insights from your data. From powerful query builders to intuitive user interfaces, the top picks are designed to get the most out of your MySQL databases. What is MySQL?

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ProjectPro

JUNE 6, 2025

Gaining such expertise can streamline data processing, ensuring data is readily available for analytics and decision-making. Suppose a cloud professional takes a course focusing on using AWS Glue and Apache Spark for ETL (Extract, Transform, Load) processes. Duration The duration of this self-paced course will be nine weeks.

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ProjectPro

JUNE 6, 2025

Data Migration Process | What are the Steps Involved in Data Migration? This means that data migration and integration processes must be efficient and seamless, regardless of whether the data is moving from a source to a data lake, from a data warehouse to a data mart, or any other destination system.

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Data Engineering Podcast

JUNE 22, 2021

Links OtterTune CMU (Carnegie Mellon University) Brown University Michael Stonebraker H-Store Learned Indexes NoisePage Oracle DB PostgreSQL Podcast Episode MySQL RDS Gaussian Process Model Reinforcement Learning AWS Aurora MVCC (Multi-Version Concurrency Control) Puppet VectorWise GreenPlum Snowflake Podcast Episode PGTune MySQL Tuner SIGMOD The intro (..)

Database 100

Database MySQL PostgreSQL Data Warehouse 100

DoorDash Engineering

MARCH 7, 2023

We knew we’d be deploying a Docker container to Fargate as well as using an Amazon Aurora PostgreSQL database and Terraform to model our infrastructure as code. Set up a locally running containerized PostgreSQL database. This isn’t necessary for your application, but it definitely speeds up the development process.

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ProjectPro

JUNE 6, 2025

Big data engineers leverage big data tools and technologies to process and engineer massive data sets or data stored in data storage systems like databases and data lakes. SQL, Data Warehousing/Data Processing, and Database Knowledge: This includes SQL knowledge to query data and manipulate information stored in databases.

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Data Engineering Podcast

AUGUST 6, 2022

For machine learning applications relational models require additional processing to be directly useful, which is why there has been a growth in the use of vector databases. Go to dataengineeringpodcast.com/linode today and get a $100 credit to launch a database, create a Kubernetes cluster, or take advantage of all of their other services.

Machine Learning 100

Machine Learning Database MySQL MongoDB 100

ProjectPro

JUNE 6, 2025

Debugging Made Easy Debugging is an essential part of the coding process, and IDEs provide a seamless debugging experience. More Efficient Code Refactoring Refactoring is an essential part of maintaining code quality for data science solutions, and IDEs make this process much more efficient.

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ProjectPro

JUNE 6, 2025

Looking for an efficient tool for streamlining and automating your data processing workflows? Let's consider an example of a data processing pipeline that involves ingesting data from various sources, cleaning it, and then performing analysis. Airflow operators hold the data processing logic.

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ProjectPro

JUNE 6, 2025

Whether you choose MySQL, PostgreSQL, or SQL Server, this SQL project for data analysis will help you practice key commands like ORDER BY, GROUP BY, and aggregate functions to answer questions such as: Which year had the highest sales? SQL Project Idea: You can use the dataset to create an online retail application database in SQL.

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Data Engineering Podcast

APRIL 28, 2019

Can you talk through how KubeDB simplifies the process of deploying and maintaining databases? How does KubeDB help with maintenance processes around upgrading existing databases to newer versions? Can you talk through how KubeDB simplifies the process of deploying and maintaining databases?

Database 100

Database MongoDB PostgreSQL MySQL 100

ProjectPro

JUNE 6, 2025

Amazon RDS supports multiple relational database management systems such as Amazon Aurora , MySQL , MariaDB, Microsoft SQL Server, Oracle, and PostgreSQL. Google Cloud SQL supports MySQL and PostgreSQL. Supported Databases : In terms of supported databases, Azure SQL primarily supports Microsoft SQL Server databases.

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Data Engineering Podcast

AUGUST 19, 2018

Contact Info @manishrjain on Twitter manishrjain on GitHub Blog Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Database 100

Database PostgreSQL NoSQL Transportation 100

Cloudera

JULY 16, 2021

They wish to run these stored procedures that were written for legacy DWs in CDW with minimal or no rewrites to accelerate the offloading process. . DW developers and data analysts have been implementing business logic and workflows substantially with stored procedures in legacy DWs. Cloudera values customers’ feedback.

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Data Warehouse SQL PostgreSQL Database 120

LinkedIn Engineering

MAY 11, 2023

With the overarching theme of enabling Site Reliability engineers (SREs) to take ownership of this entire process, we had to think outside the existing solution, which led to designing a tool that could allow direct access to SREs for managing server lifecycle. Managing data replication for data in PostgreSQL could have been more robust.

Management 101

Management PostgreSQL MySQL Kafka 101

ProjectPro

JUNE 6, 2025

For data transformation, deploy Mage on a Compute Engine VM, where it performs ETL processes like cleaning, aggregating, and enriching data. Ingest raw playlist data into Google Cloud Storage, process it with PySpark, and store the structured output in BigQuery. Use the ESPNcricinfo Ball-by-Ball Dataset to process match data.

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Data Engineering Podcast

MAY 29, 2022

To help other people find the show please leave a review on iTunes and tell your friends and co-workers Links MemSQL Interview With Nikita Shamgunov Singlestore MS SQL Server Azure Cosmos DB CitusDB Podcast Episode Debezium Podcast Episode PostgreSQL Podcast Episode MySQL HTAP == Hybrid Transactional-Analytical Processing The intro and outro music (..)

Database 100

Database Architecture Data Architecture PostgreSQL 100

Cloudera

MARCH 15, 2023

The record in the “outbox” table contains information about the event that happened inside the application, as well as some metadata that is required for further processing or routing. InventoryService) or processing a payment (eg. It is required so that consumers can decide whether to process and how to process a given event.

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ProjectPro

JUNE 6, 2025

For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. It offers a simple and efficient solution for data processing in organizations. AWS Glue automates several processes as well.

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