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Confluent
JULY 17, 2019
Together, MongoDB and Apache Kafka ® make up the heart of many modern data architectures today. Integrating Kafka with external systems like MongoDB is best done though the use of Kafka Connect. The official MongoDB Connector for Apache Kafka is developed and supported by MongoDB engineers. Free MongoDB Atlas cluster.
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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 […].
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Agent Tooling: Connecting AI to Your Tools, Systems & Data
How to Modernize Manufacturing Without Losing Control
Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration
Confluent
JUNE 8, 2020
We are excited to announce the preview release of the fully managed MongoDB Atlas source and sink connectors in Confluent Cloud, our fully managed event streaming service based on Apache […].
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Towards Data Science
AUGUST 25, 2023
Deploying your Streamlit app to the Cloud means that any data that you create with that app disappears when the app terminates — unless… Continue reading on Towards Data Science »
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Confluent
JUNE 5, 2020
Most organisations maintain fleets, a collection of vehicles put to use for day-to-day operations. Telcos use a variety of vehicles including cars, vans, and trucks for service, delivery, and maintenance. […].
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Confluent
APRIL 9, 2019
I’m excited to announce that we’re partnering with Google Cloud to make Confluent Cloud, our fully managed offering of Apache Kafka ® , available as a native offering on Google Cloud Platform (GCP). Unfortunately, the experience of using managed open source offerings in the cloud is often poor.
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Confluent
MAY 6, 2021
Today, Confluent is announcing the general availability (GA) of the fully managed MongoDB Atlas Source and MongoDB Atlas Sink Connectors within Confluent Cloud. Now, with just a few simple clicks, […].
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Data Engineering Podcast
OCTOBER 26, 2020
In order to simplify the process of securing your data in the Cloud Manav Mital created Cyral to provide a way of enforcing security as code. How much time could you save if those tasks were automated across your cloud platforms? Immuta is an automated data governance solution that enables safe and easy data analytics in the cloud.
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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
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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?
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Knowledge Hut
NOVEMBER 3, 2023
MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you. What is MongoDB for Data Science?
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Rockset
FEBRUARY 10, 2022
MongoDB is one of the most popular databases for modern applications. Developers can build applications more quickly because of this flexibility and also have multiple deployment options, from the cloud MongoDB Atlas offering through to the open-source Community Edition. MongoDB stores each record as a document with fields.
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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!
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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?
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.
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Rockset
FEBRUARY 28, 2020
Tech Preview TL;DR Join the Tech Deep Dive to learn how Rockset works with MongoDB! This is a tech preview of the MongoDB integration with Rockset to support millisecond-latency SQL queries such as joins and aggregations in real-time. MongoDB is a document database, which means it stores data in JSON-like documents.
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Rockset
JUNE 16, 2020
MongoDB.live took place last week, and Rockset had the opportunity to participate alongside members of the MongoDB community and share about our work to make MongoDB data accessible via real-time external indexing. We would be responsible for building and maintaining pipelines from these sources to MongoDB.
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Knowledge Hut
JANUARY 23, 2024
MongoDB : An Overview Setting up MongoDB on Ubuntu turned out to be more challenging than I expected. If you're like me and still searching for a detailed guide on installing MongoDB on Ubuntu, you're in the right spot. MongoDB Version In this guide, we will install MongoDB 6.0 on x86_64 MongoDB 5.0
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Knowledge Hut
JANUARY 23, 2024
As an expert, I highly recommend MongoDB as an open-source and widely adopted document-oriented NoSQL database designed for efficiently storing large-scale data. Installing and using MongoDB has become essential for web developers due to its growing popularity and the seamless manner in which it allows efficient data management.
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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.
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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.
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.
Rockset
JULY 14, 2020
Using Rockset to index data from their transactional MongoDB system , StoryFire powers complex aggregation and join queries for their social and leaderboard features. By moving read-intensive services off MongoDB to Rockset, StoryFire is able to solve two hard challenges: performance and scale.
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Data Engineering Podcast
APRIL 14, 2024
It is an open-source, cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. N-dimensional vectors, point clouds, etc.) N-dimensional vectors, point clouds, etc.) How does the underlying representation (e.g.
ProjectPro
NOVEMBER 5, 2014
MongoDB NoSQL database is used in the big data stack for storing and retrieving one item at a time from large datasets whereas Hadoop is used for processing these large data sets. For organizations to keep the load off MongoDB in the production database, data processing is offloaded to Apache Hadoop.
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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
130 
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.
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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.
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. In fact, while only 3.5%
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Knowledge Hut
DECEMBER 26, 2023
Most Popular Programming Certifications C & C++ Certifications Oracle Certified Associate Java Programmer OCAJP Certified Associate in Python Programming (PCAP) MongoDB Certified Developer Associate Exam R Programming Certification Oracle MySQL Database Administration Training and Certification (CMDBA) CCA Spark and Hadoop Developer 1.
Confluent
DECEMBER 31, 1969
Connect any database to MongoDB using Confluent's cloud-native data streaming platform. Modernize any database, build streaming data pipelines, and empower real-time data in minutes.
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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.
130 
Data Engineering Podcast
JANUARY 22, 2023
Materialize breaks down those barriers with a true cloud-native streaming database - not simply a database that connects to streaming systems. Sign up now for early access to Materialize and get started with the power of streaming data with the same simplicity and low implementation cost as batch cloud data warehouses.
130 
ProjectPro
MAY 13, 2015
MongoDB is one of the hottest IT tech skills in demand with big data and cloud proliferating the market. MongoDB certification is one of the hottest IT certifications poised for the biggest growth and utmost financial gains in 2015. How to prepare for MongoDB Certification?
40 
Rockset
NOVEMBER 12, 2020
Offloading analytics from MongoDB establishes clear isolation between write-intensive and read-intensive operations. In most scenarios, MongoDB can be used as the primary data storage for write-only operations and as support for quick data ingestion. If you have static data in MongoDB, you may need a one-time sync.
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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
Data Engineering Podcast
NOVEMBER 13, 2022
With the rise in cloud platforms and self-serve data technologies the barrier of entry is dropping. 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.
130 
Data Engineering Podcast
MARCH 18, 2018
Links Elastic Vienna – Capital of Austria What Is Developer Advocacy? Links Elastic Vienna – Capital of Austria What Is Developer Advocacy?
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Data Engineering Podcast
MAY 27, 2018
Links Alooma Convert Media Data Integration ESB (Enterprise Service Bus) Tibco Mulesoft ETL (Extract, Transform, Load) Informatica Microsoft SSIS OLAP Cube S3 Azure Cloud Storage Snowflake DB Redshift BigQuery Salesforce Hubspot Zendesk Spark The Log: What every software engineer should know about real-time data’s unifying abstraction by Jay (..)
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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. Unstruk Data is changing that equation with their platform approach to manage your unstructured assets.
130 
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
130 
Rockset
MAY 6, 2020
The ability to get the changes that happen in an operational database like MongoDB and make them available for real-time applications is a core capability for many organizations. In the MongoDB context, change streams offer a way to use CDC with MongoDB data.
40 
Knowledge Hut
APRIL 25, 2024
If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB.
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Data Engineering Podcast
AUGUST 28, 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. The only thing worse than having bad data is not knowing that you have it.
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