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

DECEMBER 7, 2021

It can also be made accessible as an API and distributed to stakeholders. The big data pipeline must process data in large volumes concurrently because, in reality, multiple big data events are likely to occur at once or relatively close together. The transformed data is then placed into the destination data warehouse or data lake.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JANUARY 19, 2022

Making raw data more readable and accessible falls under the umbrella of a data engineer’s responsibilities. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization What do Data Engineers do? That needs to be done because raw data is painful to read and work with.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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. Change Data Capture (CDC) is one such approach to monitoring and capturing events in a system.

MongoDB 40

MongoDB Bytes Database Relational Database 40

Knowledge Hut

DECEMBER 26, 2023

IDEs can be installed on your OS in devices as well as can be accessed by browsers. Online Integrated Development Environment / Code Editors There are also online IDEs available that can be accessed in browsers with internet access and can be shared very easily. To be able to work with MongoDB in Node.js

MongoDB 98

MongoDB Programming Language Java Relational Database 98

Knowledge Hut

DECEMBER 21, 2023

PostgreSQL GUI is a database administration tool that allows users of the open-source PostgreSQL database to query, display, and analyze Postgres data. You may access and investigate your database servers with a Postgres GUI as well. GUIs make it simple to access databases and traverse servers from a distance.

PostgreSQL 52

PostgreSQL MySQL MongoDB SQL 52

ProjectPro

NOVEMBER 14, 2015

Hadoop Common houses the common utilities that support other modules, Hadoop Distributed File System (HDFS™) provides high throughput access to application data, Hadoop YARN is a job scheduling framework that is responsible for cluster resource management and Hadoop MapReduce facilitates parallel processing of large data sets.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

APRIL 12, 2023

It is an acronym that stands for MongoDB, Express.js, Angular, and Node.js "MERN" is a term that refers to a combination of technologies used in this stack, which includes MongoDB, Express.js, React.js, and Node.js. . "MERN" MongoDB is used to store the data for the application. using the MongoDB driver.

MongoDB 59

MongoDB NoSQL Architecture Non-relational Database 59

U-Next

SEPTEMBER 7, 2022

In the event that they are not the same, what are the difference s? Atlas Data Lake powered by MongoDB. . As a general rule, the bottom tier of a data warehouse is a relational database system. A database is also a relational database system. The DW and databases support multi-user access.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Knowledge Hut

DECEMBER 19, 2023

These languages aid users in accessing the site or app that has been developed. Since GitHub repositories are freely accessible to the public, developers globally can interact and work on each other’s codes and modify or use them for their purpose. This part is accessed by the users through the front-end application.

Java 98

Java Programming Language Architecture Database 98

AltexSoft

JUNE 26, 2023

The ultimate goal of data integration is to gather all valuable information in one place, ensuring its integrity , quality, accessibility throughout the company, and readiness for BI, statistical data analysis, or machine learning. They can be accumulated in NoSQL databases like MongoDB or Cassandra.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

OCTOBER 28, 2015

The major difference between Sqoop and Flume is that Sqoop is used for loading data from relational databases into HDFS while Flume is used to capture a stream of moving data. The data sources can refer to databases, machine data, web APIs, relational databases, flat files, log files, and RSS (RDF Site Summary) feeds, to name a few.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Rockset

OCTOBER 11, 2022

Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams. Logstash is an event processing pipeline that ingests and transforms data before sending it to Elasticsearch.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

AltexSoft

MAY 14, 2021

This data isn’t just about structured data that resides within relational databases as rows and columns. 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.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Rockset

OCTOBER 30, 2018

Likewise, many other pre-cloud systems, including MongoDB and Elasticsearch, were designed for a world in which the underlying hardware, on which they run, was fixed. Qubole morphed Hadoop to be cloud friendly, while Amazon Aurora and Snowflake built cloud-optimized relational databases.

Cloud 40

Cloud IT MongoDB Hadoop 40

ProjectPro

JANUARY 19, 2022

Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. Relational and non-relational databases are among the most common data storage methods. Learning SQL is essential to comprehend the database and its structures.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

AltexSoft

OCTOBER 8, 2021

At the same time, you get rid of the “data silos” problem: When no team or department has a unified view of all data due to fragments being locked in separate databases with limited access. Sensitive data can be protected using a combination of access controls and encryption. Pre-built connectors. Pre-built connectors.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

U-Next

AUGUST 11, 2022

Popular open source languages like Python and R for Data Science are easily accessible and involve a shorter learning curve. Depending on the data modelling need, you may need to work with relational databases (like MYSQL, db2 or PostgreSQL) or NoSQL databases (like MongoDB). Programming and logical reasoning.

Data Science 40

Data Science Relational Database PostgreSQL MongoDB 40

Cloudera

DECEMBER 12, 2018

I would like to start off by asking you to tell us about your background and what kicked off your 20-year career in relational database technology? Greg Rahn: I first got introduced to SQL relational database systems while I was in undergrad. There’s MongoDB for document stores. you name it.

Data Warehouse 41

Data Warehouse Relational Database Hadoop BI 41

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

U-Next

AUGUST 10, 2022

Without a solid understanding of SQL, you cannot administer an RDBMS (relational database management). Database Management: Understanding how to create and operate a data warehouse is a crucial skill. Relational database management systems are often created and managed using the common computer language, SQL.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

AltexSoft

MARCH 14, 2023

That’s why some MDS tools are commercial distributions designed to be low-code or even no-code, making them accessible to data practitioners with minimal technical expertise. Rather than having data limited to a select group of individuals, with modern data stack tools, everyone within an organization can query and access the data they need.

IT 59

IT Data Warehouse Data Governance Data Lake 59