ProjectPro

JUNE 6, 2025

Explore the world of data analytics with the top AWS databases! This is precisely where AWS offers a comprehensive array of database solutions tailored to different use cases, ensuring that data can be transformed into actionable insights with efficiency and precision.

AWS 40

AWS Database Amazon Web Services MySQL 40

Confluent

SEPTEMBER 18, 2020

Since the MongoDB Atlas source and sink became available in Confluent Cloud, we’ve received many questions around how to set up these connectors in a secure environment. By default, MongoDB […].

MongoDB 97

MongoDB Management Cloud AWS 97

ProjectPro

JUNE 6, 2025

Project Idea 1: Deploying Machine Learning Models with Flask for Beginners Project Objective: The objective of this project is to deploy machine learning models using Flask or Streamlit on the Google Cloud Platform. This project demonstrates deploying a pre-built machine learning model using traditional and Dockerized approaches.

Data Science 69

Data Science Python Project Google Cloud 69

ProjectPro

JUNE 6, 2025

Cloud computing skills, especially in Microsoft Azure, SQL , Python , and expertise in big data technologies like Apache Spark and Hadoop, are highly sought after. This project builds a comprehensive ETL and analytics pipeline, from ingestion to visualization, using Google Cloud Platform.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

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%). Data migration helps businesses in migrating data into a single storage system, such as a cloud data warehouse, data lake , or lakehouse.

Project 40

Project Google Cloud AWS MongoDB 40

ProjectPro

JUNE 6, 2025

Deploy The API: Finally, deploy the API using a platform such as Heroku or AWS to make it accessible to users. Containerize the application using Docker and deploy it to a cloud platform such as AWS. MongoDB can be a good choice for this project since it provides a flexible schema-less data model.

Project 45

Project MongoDB Machine Learning Algorithm 45

ProjectPro

JUNE 6, 2025

He also highlighted the importance of Cloud computing tools like GCP , Azure , and AWS in efficiently handling vast datasets and extracting valuable insights from them. Ajay also underscores the challenges associated with establishing custom clouds for LLMs within organizations.

Data Science 52

Data Science MongoDB Machine Learning Google Cloud 52

Data Engineering Podcast

OCTOBER 23, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data teams are increasingly under pressure to deliver. In fact, while only 3.5% That’s where our friends at Ascend.io

Database 100

Database MySQL Cloud MongoDB 100

Knowledge Hut

NOVEMBER 16, 2023

MongoDB Administrator MongoDB is a well-known NO-SQL database. MongoDB is built to handle large amounts of data while maintaining good performance. MongoDB has emerged as a formidable competitor in the rising market for data-driven web applications in financial services, social media, retail, and healthcare.

Technology 98

Technology MySQL MongoDB Google Cloud 98

ProjectPro

JUNE 6, 2025

billion, and those with skills in cloud-based ETL tools and distributed systems will be in the highest demand. 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. Who is an ETL Data Engineer?

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 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. A key feature of AWS RDS that make it so popular is the ability to choose from a variety of AWS RDS Instances based on specifications and pricing.

PostgreSQL 40

PostgreSQL MySQL AWS Relational Database 40

Knowledge Hut

NOVEMBER 7, 2023

The applications of cloud computing in businesses of all sizes, types, and industries for a wide range of applications, including data backup, email, disaster recovery, virtual desktops big data analytics, software development and testing, and customer-facing web apps. What Is Cloud Computing?

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Striim

MARCH 21, 2025

With instant elasticity, high-performance, and secure data sharing across multiple clouds , Snowflake has become highly in-demand for its cloud-based data warehouse offering. This blog post describes the advantages of real-time ETL and how it increases the value gained from Snowflake implementations.

MongoDB 52

MongoDB Data Warehouse MySQL Hadoop 52

Monte Carlo

OCTOBER 31, 2024

Big Data and Cloud Infrastructure Knowledge Lastly, AI data engineers should be comfortable working with distributed data processing frameworks like Apache Spark and Hadoop, as well as cloud platforms like AWS, Azure, and Google Cloud. Data Storage Solutions As we all know, data can be stored in a variety of ways.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Data Engineering Podcast

NOVEMBER 20, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. runs natively on data lakes and warehouses and in AWS, Google Cloud and Microsoft Azure.

Data Lake 130

Data Lake MongoDB Data Ingestion Scala 130

Workfall

NOVEMBER 29, 2022

Reading Time: 10 minutes MongoDB is one of the most popular No-SQL databases in the developer community today. In this blog, we will demonstrate how to connect to MongoDB using Mongoose and MongoDB Atlas in Node.js. In this blog, we will cover: What is MongoDB? In this blog, we will cover: What is MongoDB?

MongoDB 52

MongoDB NoSQL Database SQL 52

Data Engineering Podcast

JUNE 19, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud.

Metadata 130

Metadata MongoDB Scala MySQL 130

Knowledge Hut

MARCH 22, 2024

I am here to discuss MongoDB job opportunities for you in 2024 and the wide spectrum of options that it provides. But first, let’s discuss MongoDB a bit. MongoDB is the fourth most popular Database Management System (DBMS). Significantly, MongoDB has witnessed an influencing growth of 163% in the last two years!

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

ProjectPro

JUNE 6, 2025

Graph Database Examples Let’s now explore the various examples of graph databases, highlighting their unique features, and advantages in managing highly interconnected data - Amazon Neptune Amazon Neptune is a fully managed, serverless graph database service offered by AWS that supports RDF and property graph data models.

Database 40

Database Database-centric Relational Database MongoDB 40

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

Data Engineering Podcast

JUNE 12, 2022

Aparavi was created to tame the sprawl of information across machines, datacenters, and clouds so that you can reduce the amount of duplicate data and save time and money on managing your data assets. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

Unstructured Data 130

Unstructured Data MongoDB Scala MySQL 130

Rockset

JUNE 7, 2022

Two popular options are MongoDB and Amazon DynamoDB , and architects often find themselves choosing between the two. In this article, we’ll compare MongoDB and Amazon DynamoDB to each other and highlight their significant differences. MongoDB’s Characteristics MongoDB is a general-purpose database.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52

Data Engineering Podcast

SEPTEMBER 11, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data stacks are becoming more and more complex. In fact, while only 3.5% That’s where our friends at Ascend.io

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

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? Modern cloud-based data pipelines are agile and elastic to automatically scale compute and storage resources. The Importance of a Data Pipeline What is an ETL Data Pipeline?

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

Data Engineering Podcast

AUGUST 21, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. In fact, while only 3.5% That’s where our friends at Ascend.io In fact, while only 3.5% That’s where our friends at Ascend.io

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 100

ProjectPro

JUNE 6, 2025

Big data tools are ideal for various use cases, such as ETL , data visualization , machine learning , cloud computing , etc. Additionally, you will learn how to integrate Spark with Kafka and MongoDB. Matillion With over 650 customers across 40 countries, Matillion is a dedicated ETL/ELT big data tool for the cloud environment.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

Data Engineering Podcast

NOVEMBER 6, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. In fact, while only 3.5% That’s where our friends at Ascend.io In fact, while only 3.5% That’s where our friends at Ascend.io

MongoDB 130

MongoDB Scala MySQL Data Lake 130

Rockset

FEBRUARY 2, 2022

MongoDB is a top database choice for application development. MongoDB wasn’t originally developed with an eye on high performance for analytics. Developers have formed ingenious solutions for real-time analytical queries on data stored in MongoDB, using in-house solutions or third-party products.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

ProjectPro

JUNE 6, 2025

Consolidate and develop hybrid architectures in the cloud and on-premises, combining conventional, NoSQL, and Big Data. The Amazon Relational Database Service is a web service for setting up, managing and scaling a relational database in the cloud. Amazon DynamoDB is a cloud-based database with no physical location.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

Data Engineering Podcast

OCTOBER 16, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data teams are increasingly under pressure to deliver. In fact, while only 3.5% That’s where our friends at Ascend.io

Data Lake 100

Data Lake Food MongoDB Scala 100

ProjectPro

JUNE 6, 2025

Big data is primarily stored in the cloud for easier access and manipulation to query and analyze data. Cloud platforms like Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure , Cloudera, etc., provide cloud services for deploying data models. Who can Learn Big Data?

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

Data Engineering Podcast

JULY 24, 2022

release, and the new features coming with Dagster Cloud’s general availability. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. In fact, while only 3.5%

MongoDB 100

MongoDB Scala MySQL Data Lake 100

Knowledge Hut

SEPTEMBER 24, 2024

Latest interface controls, WinRT APIs, HighDPI-associated features along with Windows Store support HTTP and REST client libraries are accessible on each platform for calling up REST services, AWS, or Azure elements. AWS Cloud9 Chargeable according to usage, AWS Cloud9 supports C, Perl, Python, JavaScript, PHP, and many others.

Electronics 98

Electronics MongoDB Java SQL 98

Data Engineering Podcast

JULY 17, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data teams are increasingly under pressure to deliver. In fact, while only 3.5% That’s where our friends at Ascend.io

Data Engineer 100

Data Engineer Data Engineering Engineering MongoDB 100

Data Engineering Podcast

NOVEMBER 13, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. CreditKarma was one of the first FinTech companies to migrate to the cloud, specifically GCP. In fact, while only 3.5%

MongoDB 100

MongoDB Scala MySQL Google Cloud 100

Data Engineering Podcast

OCTOBER 30, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. In fact, while only 3.5% That’s where our friends at Ascend.io Email hosts@dataengineeringpodcast.com ) with your story.

Engineering 100

Engineering MongoDB Scala MySQL 100

Edureka

AUGUST 23, 2024

The AWS training will prepare you to become a master of the cloud, storing, processing, and developing applications for the cloud data. Amazon AWS Kinesis makes it possible to process and analyze data from multiple sources in real-time. As of 2024, about 73% of enterprises have deployed a hybrid cloud.

AWS 52

AWS Kafka Amazon Web Services Data Ingestion 52