KDnuggets

OCTOBER 4, 2022

Among the four big NoSQL database types, key-value stores are probably the most popular ones due to their simplicity and fast performance. Let’s further explore how key-value stores work and what are their practical uses.

Database 159

Database NoSQL SQL 159

KDnuggets

SEPTEMBER 8, 2023

Also learn the fundamentals of relational databases, NoSQL database categories, and more. Understand the relevance of databases in data science.

Database 122

Database Data Science NoSQL Relational Database 122

ProjectPro

MAY 13, 2015

Table of Contents MongoDB NoSQL Database Certification- Hottest IT Certifications of 2015 MongoDB-NoSQL Database of the Developers and for the Developers MongoDB Certification Roles and Levels Why MongoDB Certification? The three next most common NoSQL variants are Couchbase, CouchDB and Redis.

NoSQL 40

NoSQL MongoDB Certification Database 40

KDnuggets

MARCH 22, 2023

GPT-4: Everything You Need To Know • OpenChatKit: Open-Source ChatGPT Alternative • Introduction to __getitem__: A Magic Method in Python • NoSQL Databases and Their Use Cases • 7 Must-Know Python Tips for Coding Interviews

NoSQL 108

NoSQL Python Database Coding 108

Knowledge Hut

MARCH 20, 2024

Handling databases, both SQL and NoSQL. Databases and tools: AI engineers must be adept at working with different forms of data and know how to handle SQL and NoSQL databases. Data processing: AI engineers must be adept at working with databases (SQL and NoSQL) and diverse data types , like JSON files, TIFF, BMP, etc.

Engineering 52

Engineering NoSQL Programming Language Deep Learning 52

Hevo

DECEMBER 21, 2023

Do you have a NoSQL database that has no rigid shape and is causing data analysis complexity nightmares? With JSON in PostgreSQL, you can have a solution to your complex problem. PostgreSQL is a high-performing, open-sourced object-relational database with two JSON data storage types, JSON and JSONB.

PostgreSQL 52

PostgreSQL NoSQL Relational Database Data Storage 52

Knowledge Hut

DECEMBER 21, 2023

NoSQL This database management system has been designed in a way that it can store and handle huge amounts of semi-structured or unstructured data. NoSQL databases can handle node failures. Pros: NoSQL can be used for real-time applications due to its ability to handle lots of reads and writes. It is also horizontally scalable.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

KDnuggets

FEBRUARY 15, 2022

From Oracle, to NoSQL databases, and beyond, read about data management solutions from the early days of the RBDMS to those supporting AI applications.

Data Storage 108

Data Storage Database NoSQL Data 108

Knowledge Hut

MARCH 15, 2024

Making decisions in the database space requires deciding between RDBMS (Relational Database Management System) and NoSQL, each of which has unique features. RDBMS uses SQL to organize data into structured tables, whereas NoSQL is more flexible and can handle a wider range of data types because of its dynamic schemas. What is NoSQL?

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Knowledge Hut

JULY 26, 2023

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. NoSQL is an abbreviation for "Not Only SQL," and it refers to non-relational databases that provide flexible data formats, horizontal scaling, and high performance for certain use cases.

Database 52

Database NoSQL Telecommunication MongoDB 52

Yelp Engineering

JANUARY 29, 2023

Apache Cassandra is a distributed wide-column NoSQL datastore and is used at Yelp for storing both primary and derived data. This blog post deep dives into how we rebuilt one of our Cassandra(C*) clusters by removing malformed data using Yelp’s Data Pipeline. Many different features on Yelp are powered by Cassandra.

Data Pipeline 75

Data Pipeline NoSQL Manufacturing Data 75

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

Knowledge Hut

MARCH 21, 2024

Firebase Cloud Firestore It is a NoSQL database which is highly scalable and is suitable for real-time updates. AWS DynamoDB It is a NoSQL database that is highly scalable and is designed for large-scale applications. AWS vs Firebase: Database Services Let me take you through Firebase Cloud Firestore vs AWS DynamoDB Services.

AWS 52

AWS Cloud Storage NoSQL Cloud Computing 52

Rockset

OCTOBER 26, 2021

NoSQL Data Barrier The interactive dashboards include everything from basic KPIs such as Daily Active Users and Monthly Active Users (DAUs and MAUs), to advanced context interpretation for each individual patient’s progress. However, the challenge was serving Redash with SQL queries from data stored in our NoSQL database.

NoSQL 52

NoSQL Building Hospitality Education 52

Jesse Anderson

SEPTEMBER 14, 2023

I think the data source technologies will be varied, so you’ll need RDBMS, NoSQL, and Vector databases to get the right data from the right places. There are a wide variety of Vector databases out there. We’ll need a good place to store LLM logs/prompts and retrieve data to add to prompts.

Data Engineering 147

Data Engineering Data Engineer Engineering NoSQL 147

Christophe Blefari

OCTOBER 20, 2023

It's NoSQL database that is compliant with Apache Cassandra interfaces, and open-source. Aindo is a synthetic data solution, it provides a platform to generate synthetic data from your real data in order to preserve statistical relevance while removing sensible information. ScyllaDB raises $43M Series C. Pantomath raises $14m Series A.

Generalist 130

Generalist Entertainment NoSQL Datasets 130

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB is used for data science, meaning that we utilize the capabilities of this NoSQL database system as part of our data analysis and data modeling processes, which fall under the realm of data science. What is MongoDB for Data Science?

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Precisely

DECEMBER 28, 2023

In addition, you’ll also need a NoSQL database (many people use HBase, but you have a variety of choices available). First, you’ll require an in-memory framework (such as Spark), which handles batch, real-time analytics, and data processing workloads.

Data Pipeline 91

Data Pipeline Building Kafka Big Data 91

Knowledge Hut

APRIL 23, 2024

It employs technologies such as Apache Hadoop, Apache Spark, and NoSQL databases to handle the immense scale and complexity of big data. Big data platforms, while more cost-effective in terms of storage and processing, may require expertise in technologies like Hadoop, Spark, and NoSQL databases.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Monte Carlo

JANUARY 5, 2024

Ingestion layer The ingestion layer in data lakehouse architecture extracts data from various sources, including transactional and relational databases, APIs, real-time data streams, CRM applications, NoSQL databases, and more, and brings them into the data lake.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Ingestion layer The ingestion layer in data lakehouse architecture extracts data from various sources, including transactional and relational databases, APIs, real-time data streams, CRM applications, NoSQL databases, and more, and brings them into the data lake.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Knowledge Hut

DECEMBER 26, 2023

MongoDB Certified Developer Associate Exam MongoDB is a NoSQL, document-based high-volume heterogeneous database system. Course fees for Certification: $ 295 Exam fee for certification : $ 295 Retake fee for certification: If a candidate fails the exam, he/she has to wait for 15 days before being allowed to retake the exam for free.

Certification 98

Certification Programming MongoDB R (Programming) 98

Rockset

FEBRUARY 2, 2022

Developers choose this database because of its flexible data model and its inherent scalability as a NoSQL database. Most SQL implementations aren’t designed to be distributed, unlike their NoSQL counterparts. An Alternative That Combines the Benefits of NoSQL and SQL There’s one more option to run analytics on MongoDB: Rockset.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

Towards Data Science

JANUARY 16, 2024

Result: Hadoop & NoSQL frameworks emerged. Image by the author 2004 to 2010 — The elephant enters the room New wave of applications emerged — Social Media, Software observability, etc. New data formats emerged — JSON, Avro, Parquet, XML etc. Data lakes were introduced to store the new data formats.

Data Warehouse 66

Data Warehouse Data Architecture Relational Database NoSQL 66

Knowledge Hut

JUNE 23, 2023

Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. Creating NoSQL Database with MongoDB and Compass or Database Design with SQL Server Management Studio (SSMS) You should have the expertise to enter Database Creation and Modeling using MYSQL Workbench.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational 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. Section 5- Storage-Optimized Instances I-Series Instances- Optimized for high-performance storage, suitable for NoSQL databases and data warehousing.

AWS 52

AWS NoSQL Deep Learning Datasets 52

Knowledge Hut

JANUARY 9, 2024

First, they evaluate the drawbacks of traditional file systems and draw a comparison with NoSQL databases (like HBase) and relational databases (like MySQL). This project also covers numerous storage systems like NoSQL databases, low-latency KV stores, and in-memory databases like Amazon RDS, Apache HBase, DynamoDB, etc.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

Data Engineering Podcast

FEBRUARY 11, 2018

Contact Info Ajay LinkedIn @acoustik on Twitter Timescale Blog Mike Website LinkedIn @michaelfreedman on Twitter Timescale Blog Timescale Website @timescaledb on Twitter GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Knowledge Hut

JANUARY 18, 2024

SQL databases are structured differently than NoSQL databases - they store data in tables rather than documents or graphs - but they're still very useful when you want to structure your data in a way that makes sense for humans (and computers). making it incredibly useful.

Data Science 52

Data Science Computer Science Programming Language NoSQL 52

Rockset

AUGUST 29, 2019

In this blog, we examine DynamoDB reporting and analytics, which can be challenging given the lack of SQL and the difficulty running analytical queries in DynamoDB. We will demonstrate how you can build an interactive dashboard with Tableau, using SQL on data from DynamoDB, in a series of easy steps, with no ETL involved.

NoSQL 40

NoSQL SQL Building Unstructured Data 40

WeCloudData

OCTOBER 19, 2021

Generate user article recommendations and write the recommendations back to a NoSQL database. These models utilized traditional methods like content-based filtering and collaborative filtering, as well as more advanced deep learning techniques with BERT. Automate article recommendation generation through Databricks built-in job scheduler.

Consulting 52

Consulting Systems NoSQL Raw Data 52

WeCloudData

OCTOBER 19, 2021

Generate user article recommendations and write the recommendations back to a NoSQL database. These models utilized traditional methods like content-based filtering and collaborative filtering, as well as more advanced deep learning techniques with BERT. Automate article recommendation generation through Databricks built-in job scheduler.

Consulting 52

Consulting Systems NoSQL Raw Data 52

Knowledge Hut

APRIL 26, 2024

Another main aspect of this position is database design (RDBMS, NoSQL, and NewSQL), data warehousing, and setting up a data lake. They need to be competent programmers with some skills that are very similar to those necessary in a DevOps job, and with good and powerful writing skills for data query.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Knowledge Hut

MARCH 22, 2024

Interested in NoSQL databases? MongoDB Careers: Overview MongoDB is one of the leading NoSQL database solutions and generates a lot of demand for experts in different fields. If so, you need to go somewhere else. I am here to discuss MongoDB job opportunities for you in 2024 and the wide spectrum of options that it provides.

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Knowledge Hut

JANUARY 23, 2024

MongoDB is a popular NoSQL database that is open-source and document-oriented. 'NoSQL' 'NoSQL' here implies that it is a non-relational database, i.e., it stores the data in a different format other than the relational tables and therefore does not require a fixed schema.

MongoDB 52

MongoDB NoSQL Non-relational Database Database 52

Data Engineering Podcast

APRIL 14, 2024

Your host is Tobias Macey and today I'm interviewing Oren Eini about the work of designing and building a NoSQL database engine Interview Introduction How did you get involved in the area of data management? Can you describe what constitutes a NoSQL database? What are the factors that convince teams to use a NoSQL vs. SQL database?

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Ascend.io

JUNE 22, 2023

Ascend’s platform is the first modern, cloud-based data pipeline automation tool capable of ingesting data from all major platforms and delivering it to MotherDuck (relational, NoSQL, event streams/queues, APIs and custom data sources).

NoSQL 52

NoSQL MySQL Google Cloud Data Pipeline 52