Edureka

JANUARY 12, 2024

The Observer pattern is commonly used in various software scenarios, including implementing event handling systems, user interface updates, and decoupled communication between components in an application. Explain event loop in Node.js In Node.js, event handling is an important part of efficiently managing asynchronous operations.

NoSQL 52

NoSQL Java MongoDB Programming 52

Knowledge Hut

JANUARY 23, 2024

jQuery: jQuery Document traversal, HTML event handling, and Ajax animation are all made simpler with jQuery. Full stack developers must be familiar with relational and non-relational data, NoSQL platforms, and storage options like MongoDB since they construct the bridges that link the client-side and server-side of a program.

MongoDB 98

MongoDB Programming Language Java MySQL 98

AltexSoft

MAY 12, 2023

Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g., MongoDB, Cassandra), and big data processing frameworks (e.g., Hadoop, Apache Spark).

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Monte Carlo

NOVEMBER 20, 2023

Now with everything set, it’s time for the main event Celebrate, but continue to monitor How to handle challenges and rollbacks Best practices for successful data migrations Ready to elevate your next data migration with unparalleled data observability? Mongoose (for MongoDB with Node.js) : Offers a schema-based solution for data modeling.

MongoDB 52

MongoDB ETL Tools Database Data 52

Rockset

MAY 10, 2022

DynamoDB is a popular NoSQL database available in AWS. However, DynamoDB, like many other NoSQL databases, is great for scalable data storage and single row retrieval but leaves a lot to be desired when it comes to analytics. DynamoDB pushes events about any changes to a DynamoDB stream that can be consumed by targets downstream.

NoSQL 52

NoSQL AWS MongoDB Datasets 52

Knowledge Hut

MAY 31, 2023

Top Database Project Ideas Using MongoDB MongoDB is a popular NoSQL database management system that is widely used for web-based applications. MongoDB offers a great way to store all types of products’ attributes—structured, semi-structured, and unstructured—all in one place.

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

MAY 23, 2024

BigML: BigML is an online, cloud-based, event-driven tool that helps in data science and machine learning operations. MongoDB: MongoDB is a cross-platform, open-source, document-oriented NoSQL database management software that allows data science professionals to manage semi-structured and unstructured data.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Rockset

MAY 17, 2022

Limitations of NoSQL SQL supports complex queries because it is a very expressive, mature language. That changed when NoSQL databases such as key-value and document stores came on the scene. While taking the NoSQL road is possible, it’s cumbersome and slow. As a result, the use cases remained firmly in batch mode.

SQL 52

SQL NoSQL Hadoop MongoDB 52

AltexSoft

MAY 14, 2021

The analytics commonly takes place after a certain period of time or event. Outlier analysis or anomaly detection is the technique used to identify data points and events that deviate from the rest of the data. NoSQL databases. The “NoSQL” part here stands for “Non-SQL” and “Not Only SQL”. Traditional approach.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

DECEMBER 21, 2023

For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Familiarity with database technologies such as MySQL, Oracle, and MongoDB. Familiarity with database technologies such as MySQL, Oracle, and MongoDB. Knowledge of Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

MARCH 27, 2024

MongoDB This free, open-source platform, which came into the limelight in 2010, is a document-oriented (NoSQL) database that is used to store a large amount of information in a structured manner. These tools of big data analytics can be used to identify patterns, trends, and relationships and to make predictions about future events.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Data Engineering Podcast

MAY 6, 2019

To make it easier for startups to focus on delivering useful features Segment offers a flexible and reliable data infrastructure for your customer analytics and custom events. Understanding how your customers are using your product is critical for businesses of any size. What are some of the unique use cases that FoundationDB enables?

Systems 100

Systems MongoDB NoSQL Database 100

Knowledge Hut

DECEMBER 21, 2023

Navicat Navicat is a GUI for MySQL, PostgreSQL, Oracle, and MongoDB. HeidiSQL The active community of contributors is constantly improving HeidiSQL, a small, free open-source GUI that enables you to manage tables, logs, and users, change data, views, procedures, and scheduled events. The UI of TablePlus is a simple UI.

PostgreSQL 52

PostgreSQL MySQL MongoDB SQL 52

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Klassischerweise arbeiten die Engineers am Data Warehousing für Business Intelligence oder Process Mining, wofür immer mehr Event Logs benötigt werden. Andere Arten von Datenbanken, sogenannte NoSQL -Datenbanken beruhen auf Dateiformaten, einer Spalten- oder einer Graphenorientiertheit.

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Rockset

MARCH 26, 2023

Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack. However, even within the database itself, everything starts as an event in a log.

Cloud 52

Cloud PostgreSQL Kafka Database 52

Edureka

FEBRUARY 8, 2024

Use Cases such as NoSQL Databases and Data Warehousing- NoSQL Databases- I-Series instances are well-suited for running NoSQL databases like MongoDB, Cassandra, or Couchbase. Scalability- Opt for instances that support horizontal scaling to accommodate varying website traffic, especially during promotional events.

AWS 52

AWS NoSQL Deep Learning Datasets 52

AltexSoft

JUNE 26, 2023

They can be accumulated in NoSQL databases like MongoDB or Cassandra. Even now, in the era of ChatGPT , we still fill out paper-based documents and type numbers and words into an Excel file to capture events and record observations. Formats belonging to this category include JSON, CSV, and XML files.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

APRIL 3, 2023

Backend developers work with programming languages such as Java, Python, Ruby, and PHP, as well as databases such as MySQL, MongoDB, and PostgreSQL. It suggests learning popular programming languages such as Python, Java, and JavaScript, as well as understanding databases like MySQL, PostgreSQL, and MongoDB.

Programming Language 52

Programming Language Computer Science Portfolio PostgreSQL 52

Rockset

AUGUST 11, 2022

Our talk follows an earlier video roundtable hosted by Rockset CEO Venkat Venkataramani, who was joined by a different but equally-respected panel of data engineering experts, including: DynamoDB author Alex DeBrie ; MongoDB director of developer relations Rick Houlihan ; Jeremy Daly , GM of Serverless Cloud. Embedded content: [link] 1.

Bytes 52

Bytes Consulting Kafka MongoDB 52

Ascend.io

SEPTEMBER 14, 2023

compute() Data Storage Python extends its mastery to data storage, boasting smooth integrations with both SQL and NoSQL databases. Be it PostgreSQL, MySQL, MongoDB, or Cassandra, Python ensures seamless interactions. Use Case: Processing streaming tweets from pyspark.streaming import StreamingContext from pyspark.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Rockset

APRIL 15, 2022

Out-of-order data are time-stamped events that for a number of reasons arrive after the initial data stream has been ingested by the receiving database or data warehouse. In other words, events that are close in time are written to adjacent disk clusters or partitions. Transmitting out-of-order data is not the issue.

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

Rockset

MAY 12, 2022

Major news events can set the markets afire with electronic trades. Though some data sources like event streams were starting to arrive in real time, neither data nor queries were time sensitive. The serving layer — often MongoDB , Elasticsearch or Cassandra — then delivers those results to both dashboards and users’ ad hoc queries.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

AltexSoft

OCTOBER 21, 2022

This scenario involves three main characters — publishers, subscribers, and a message or event broker. A publisher (say, telematics or Internet of Medical Things system) produces data units, also called events or messages , and directs them not to consumers but to a middleware platform — a broker. Kafka cluster and brokers.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Rockset

OCTOBER 20, 2021

S3 or GCS), NoSQL databases (e.g. DynamoDB or MongoDB), and relational databases (e.g. Incremental materializations are usually best suited for event or time-series data streamed directly into Rockset. Hope you can join us for the event! Collections can also be created from other data sources including data lakes (e.g.

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

Rockset

APRIL 3, 2020

Such events would also lead to business loss. Rockset This SaaS service allows fast SQL on NoSQL data from varied sources like Kafka, DynamoDB, S3 and more. For example, we could have used either DynamoDB or Cassandra or MongoDB for this project and all would be able to meet the requirement of handling IoT data at scale.

Data Pipeline 40

Data Pipeline Systems Management NoSQL 40

AltexSoft

MARCH 14, 2023

These sources commonly include databases, SaaS products, and event streams. Also, there are NoSQL databases that can be home to all sorts of data, including unstructured and semi-structured (images, PDF files, audio, JSON, etc.) Some popular databases are Postgres and MongoDB. Event streams.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Knowledge Hut

DECEMBER 5, 2023

By attending industry events, connecting with people on LinkedIn, and reaching out to your friends, family, and colleagues, you can get your foot in the door. Here are some essential hard skills for System Engineers: Proficiency in various operating systems, including Microsoft Windows Server, Linux distributions (e.g.,

Systems 52

Systems Engineering Recruitment Electronics 52

Rockset

NOVEMBER 9, 2021

Fetching the Updates and Publishing them to the Target Database using Kafka Kafka is an event streaming platform that follows a pub-sub model. Rockset can also read CDC streams from NoSQL databases, such as MongoDB and Amazon DynamoDB. Kafka Connect also has connectors to target systems that can then write these records for you.

MySQL 52

MySQL Kafka AWS Database 52

Knowledge Hut

DECEMBER 27, 2023

MongoDB Free and open-source tool supporting multiple operating systems, including Windows Vista (and later versions), OS X (10.7 This NoSQL, document-oriented database is written in C, C++, and JavaScript. Pricing : Offers both Free and pricing models. The pricing can be had from the Datawrapper site.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

AltexSoft

OCTOBER 8, 2021

The platform provides features for event-based , data-based, and service-based integration styles. The platform offers hybrid batch and streaming support as well as event-based integrations that react to changes in real-time. They include NoSQL databases (e.g., MongoDB), SQL databases (e.g., Data loading. Source: Section.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

U-Next

AUGUST 25, 2022

An open-spurce NoSQL database management program, MongoDB architecture, is used as an alternative to traditional RDMS. MongoDB is built to fulfil the needs of modern apps, with a technical base that allows you through: The document data model demonstrates the most effective approach to work with data. What is MongoDB?

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

ProjectPro

JUNE 22, 2015

uses non-blocking, event driven I/O to offer efficiency and remain lightweight in terms of in-memory usage to data intensive real time web applications that run in various distributed environments or devices. .” wins with Database Queries The database queries for new NoSQL databases like MongoDB, CouchDB are written in JavaScript.

NoSQL 40

NoSQL MongoDB Transportation Database 40

ProjectPro

OCTOBER 28, 2015

Flume has a simple event driven pipeline architecture with 3 important roles-Source, Channel and Sink. Node is generally an event pipe in Hadoop Flume which reads from the source and writes to the Sink. Sqoop can also import data from NoSQL databases like MongoDB or Cassandra and also allows direct data transfer or Hive or HDFS.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

JANUARY 19, 2022

Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with. They must be skilled at creating solutions that use the Azure Cosmos DB for NoSQL API. Also, learn how to use Event hubs for cab data import and use an Azure VM running a generator code to simulate real-time data.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JANUARY 19, 2022

Depending on the company you want to work with, you will be asked to learn them deeply.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Confluent

AUGUST 19, 2019

The list goes on: MongoDB also announced adoption of Kafka Connect via officially supported releases of connectors previously offered by the community. Neo4j and Confluent share a customer base that is determined to push the boundaries of detecting data connections as interactions and events occur.

Programming 15

Programming Kafka Database-centric MongoDB 15

ProjectPro

NOVEMBER 14, 2015

With this weblogs can be tracked based on events and browsing patterns and histories. Tools/Tech stack used: The tools and technologies used for such weblog trend analysis using Apache Hadoop are NoSql, MapReduce, and Hive. With Apache Spark, one can easily simulate all these activities, creating various events for the entire process.

Hadoop 52

Hadoop Project Big Data Healthcare 52