ProjectPro

JUNE 6, 2025

Ever wished for a database that's as easy to use as your favorite app? Say hello to AWS DocumentDB - your passport to unlocking the simplicity of data management. It's like a magic tool that makes handling data super simple. ” AWS DocumentDB is a fully managed, NoSQL database service provided by Amazon Web Services (AWS).

AWS 40

AWS Database MongoDB Management 40

Data Engineering Podcast

APRIL 14, 2024

Summary Databases come in a variety of formats for different use cases. The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. Datafold has recently launched data replication testing, providing ongoing validation for source-to-target replication.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

ProjectPro

JUNE 6, 2025

Imagine solving a complex puzzle where each piece represents a unique data point, and their connections form a vast network. Traditional databases often need help to capture these intricate relationships, leaving you with a fragmented view of your data. Table of Contents What is a Graph Database? Why Graph Databases?

Database 40

Database Database-centric Relational Database MongoDB 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. Don't just take our word for it; the numbers speak for themselves.

Database 40

Database Management MongoDB NoSQL 40

Seattle Data Guy

MAY 8, 2023

Adding databases like MongoDB and CassandraDB only makes matters worse, since they’re not SQL-friendly – the language most analysts and data practitioners are used to.… … Read more The post OLTP Vs OLAP – What Is The Difference appeared first on Seattle Data Guy.

MongoDB 208

MongoDB SQL Database Designing 208

ProjectPro

JUNE 6, 2025

Data modeling is a crucial skill for every big data professional, but it can be challenging to master. So, if you are preparing for a data modelling interview, you have landed on the right page. We have compiled the top 50 data modelling interview questions and answers from beginner to advanced levels. billion by 2028.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

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

AWS services are popular among businesses for various purposes, including machine learning, data analytics, cloud-native development, application migration, and many others. This blog compares the most popular and helpful AWS ETL services in the market today- AWS Data Pipeline and AWS Glue. What is AWS Data Pipeline used for?

ETL Tools 40

ETL Tools AWS Data Pipeline Amazon Web Services 40

ProjectPro

JUNE 6, 2025

Are you a data science enthusiast looking to enhance your Python Flask skills? Check out these exciting python flask projects that will help you apply your Flask knowledge to solve real-world data science challenges. Here is the list of the best Python Flask projects ideal for data experts. This is where Python Flask comes in.

Data Science 69

Data Science Python Project Google Cloud 69

Data Engineering Podcast

APRIL 28, 2019

However, managing the database layer is still a separate concern. In this episode Tamal Saha explains how the KubeDB project got started, why you might want to run your database with Kubernetes, and how to get started. Not only does it free up your engineers’ time, it lets your business users decide what data they want where.

Database 100

Database MongoDB PostgreSQL MySQL 100

ProjectPro

JUNE 6, 2025

Working on FastAPI projects is important for data scientists, enabling them to build and deploy end-to-end data science applications quickly and efficiently. With FastAPI, data scientists can create web applications incorporating machine learning models, visualizations, and other data processing functionality.

Project 45

Project MongoDB Machine Learning AWS 45

Data Engineering Podcast

OCTOBER 23, 2022

Summary The database market has seen unprecedented activity in recent years, with new options addressing a variety of needs being introduced on a nearly constant basis. Despite that, there are a handful of databases that continue to be adopted due to their proven reliability and robust features.

Database 100

Database MySQL Cloud MongoDB 100

Data Engineering Podcast

DECEMBER 11, 2022

Summary One of the most critical aspects of software projects is managing its data. Managing the operational concerns for your database can be complex and expensive, especially if you need to scale to large volumes of data, high traffic, or geographically distributed usage.

Database 100

Database MySQL Data Lake MongoDB 100

Data Engineering Podcast

JANUARY 13, 2019

release, how the use cases for timeseries data have proliferated, and how they are continuing to simplify the task of processing your time oriented events. With 200Gbit private networking, scalable shared block storage, and a 40Gbit public network, you’ve got everything you need to run a fast, reliable, and bullet-proof data platform.

Database 100

Database PostgreSQL SQL MongoDB 100

ProjectPro

JUNE 6, 2025

Setting up the cloud to store data to ensure high availability is one of the most critical tasks for big data specialists. Due to this, knowledge of cloud computing platforms and tools is now essential for data engineers working with big data.

Data Engineer 40

Data Engineer Data Engineering PostgreSQL Engineering 40

ProjectPro

JUNE 6, 2025

According to a survey by IDG, the three most popular data migration projects include - consolidating data silos (47%), migrating data to the cloud (52%), and upgrading/replacing systems(46%). Table of Contents What is Data Migration? Table of Contents What is Data Migration? Why Data Migration Projects Fail?

Project 40

Project Google Cloud AWS MongoDB 40

Data Engineering Podcast

AUGUST 6, 2022

Summary The optimal format for storage and retrieval of data is dependent on how it is going to be used. For analytical systems there are decades of investment in data warehouses and various modeling techniques. Data stacks are becoming more and more complex.

Machine Learning 100

Machine Learning Database MySQL MongoDB 100

Monte Carlo

OCTOBER 31, 2024

The rise of AI and GenAI has brought about the rise of new questions in the data ecosystem – and new roles. One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Data Engineering Podcast

SEPTEMBER 11, 2022

Summary Any business that wants to understand their operations and customers through data requires some form of pipeline. Building reliable data pipelines is a complex and costly undertaking with many layered requirements. Data stacks are becoming more and more complex. Sifflet also offers a 2-week free trial.

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

Data Engineering Podcast

OCTOBER 16, 2022

Pathway is a streaming database engine that embeds artificial intelligence into the storage, with functionality designed to support the spatiotemporal data that is crucial for shipping and logistics. Atlan is the metadata hub for your data ecosystem. And don’t forget to thank them for their continued support of this show!

Database 100

Database Metadata MongoDB MySQL 100

Data Engineering Podcast

NOVEMBER 13, 2022

Summary Building data products is an undertaking that has historically required substantial investments of time and talent. With the rise in cloud platforms and self-serve data technologies the barrier of entry is dropping. Atlan is the metadata hub for your data ecosystem.

Building 130

Building Metadata MongoDB MySQL 130

Data Engineering Podcast

NOVEMBER 6, 2022

Summary Despite the best efforts of data engineers, data is as messy as the real world. Entity resolution and fuzzy matching are powerful utilities for cleaning up data from disconnected sources, but it has typically required custom development and training machine learning models.

MongoDB 130

MongoDB Scala MySQL Data Lake 130

ProjectPro

JUNE 6, 2025

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? No, that is not the only job in the data world. These trends underscore the growing demand and significance of data engineering in driving innovation across industries.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

Knowledge Hut

NOVEMBER 3, 2023

The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. Let us see where MongoDB for Data Science can help you.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Hevo

AUGUST 27, 2024

With the rise of modern data tools, real-time data processing is no longer a dream. The ability to react and process data has become critical for many systems. Over the past few years, MongoDB has become a popular choice for NoSQL Databases.

MongoDB 52

MongoDB Kafka NoSQL Data 52

Data Engineering Podcast

JANUARY 22, 2023

Summary The most interesting and challenging bugs always happen in production, but recreating them is a constant challenge due to differences in the data that you are working with. Building your own scripts to replicate data from production is time consuming and error-prone. Can you describe what Tonic is and the story behind it?

PostgreSQL 130

PostgreSQL MongoDB MySQL Machine Learning 130

Data Engineering Podcast

NOVEMBER 6, 2022

Summary A lot of the work that goes into data engineering is trying to make sense of the "data exhaust" from other applications and services. 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.

IT 130

IT Building Metadata MongoDB 130

Data Engineering Podcast

JUNE 12, 2022

Summary Unstructured data takes many forms in an organization. From a data engineering perspective that often means things like JSON files, audio or video recordings, images, etc. Another category of unstructured data that every business deals with is PDFs, Word documents, workstation backups, and countless other types of information.

Unstructured Data 130

Unstructured Data MongoDB Scala MySQL 130

Data Engineering Podcast

NOVEMBER 20, 2022

Sifflet is a platform that brings your entire data stack into focus to improve the reliability of your data assets and empower collaboration across your teams. In this episode CEO and founder Salma Bakouk shares her views on the causes and impacts of "data entropy" and how you can tame it before it leads to failures.

Data Lake 130

Data Lake MongoDB Data Ingestion Scala 130

Hevo

SEPTEMBER 3, 2024

In this tutorial, you’ll learn how to create an Apache Airflow MongoDB connection to extract data from a REST API that records flood data daily, transform the data, and load it into a MongoDB database. Why […]

MongoDB 52

MongoDB Data Ingestion Database Data 52

Data Engineering Podcast

JUNE 19, 2022

Summary Data analysis is a valuable exercise that is often out of reach of non-technical users as a result of the complexity of data systems. 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.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

ProjectPro

JUNE 6, 2025

Python is popular for building machine learning (ML) and data science applications. This blog compares FastAPI vs. Looking for end to end solved data science projects? Check out ProjectPro's repository of solved Data Science Projects with Source Code! Best Practices When Using FastAPI Use Pydantic for data validation.

Machine Learning 40

Machine Learning Python Project MongoDB 40

ProjectPro

JUNE 6, 2025

Data science is a vast field with several job roles emerging within it. This blog post will explore the top 15 data science roles worth pursuing. According to LinkedIn's Emerging Jobs Report, data science is the fastest-growing industry in the world. Interested in Data Science Roles ? billion by 2026 from $37.9

Data Science 56

Data Science Data Mining Data Architect BI 56

Data Engineering Podcast

JUNE 19, 2022

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. In order to level up their value a new trend of active metadata is being implemented, allowing use cases like keeping BI reports up to date, auto-scaling your warehouses, and automated data governance.

Metadata 130

Metadata MongoDB Scala MySQL 130

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. Yes, you heard that right!

SQL 40

SQL MySQL MongoDB Data 40

Hevo

AUGUST 17, 2023

Are you looking to migrate your data from MongoDB Atlas to MySQL? Migrating data from MongoDB Atlas to MySQL can be a complex process, especially when handling large datasets and different database structures. However, moving data from MongoDB Atlas to MySQL can help you leverage SQL querying […]

MongoDB 52

MongoDB MySQL Datasets SQL 52

Data Engineering Podcast

DECEMBER 18, 2022

Summary One of the reasons that data work is so challenging is because no single person or team owns the entire process. This introduces friction in the process of collecting, processing, and using data. In order to reduce the potential for broken pipelines some teams have started to adopt the idea of data contracts.

Metadata 130

Metadata Data Lake Business Intelligence MongoDB 130