Introduction to Databases in Data Science
KDnuggets
SEPTEMBER 8, 2023
Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.
Understanding NoSQL Data Replication: A Comprehensive Guide
Hevo
MAY 24, 2023
This implies that traditional relational databases can not cater to the needs of organizations seeking to store and manipulate this unstructured data. Companies are therefore relying on NoSQL Databases to manage their growing consumption and generation of everyday data. NoSQL Databases […]
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Designing A Non-Relational Database Engine
Data Engineering Podcast
APRIL 14, 2024
Summary Databases come in a variety of formats for different use cases. The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. Can you describe what constitutes a NoSQL database? changed the landscape for NoSQL engines?
Webinars
The Product Manager’s Guide to Optimizing DX for Systemic Impact
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Leading the Development of Profitable and Sustainable Products
Difference Between Data Structure and Database
Knowledge Hut
MARCH 27, 2024
Think of a database as a smart, organized library that stores and manages information efficiently. In simpler terms, a database is where information is neatly stored, like books on shelves, while data structures are the behind-the-scenes helpers, ensuring data is well-organized and easy to find. What is a Database?
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The Role of Database Applications in Modern Business Environments
Knowledge Hut
JULY 26, 2023
Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. Database applications also help in data-driven decision-making by providing data analysis and reporting tools. What are Database Applications?
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Why Real-Time Analytics Requires Both the Flexibility of NoSQL and Strict Schemas of SQL Systems
Rockset
JULY 6, 2022
Similarly, databases are only useful for today’s real-time analytics if they can be both strict and flexible. Traditional databases, with their wholly-inflexible structures, are brittle. So are schemaless NoSQL databases, which capably ingest firehoses of data but are poor at extracting complex insights from that data.
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Big Data Technologies that Everyone Should Know in 2024
Knowledge Hut
APRIL 25, 2024
NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase. Big data technologies can be categorized into four broad categories: batch processing, streaming, NoSQL databases, and data warehouses.
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MongoDB JDBC Connectivity: Simple Steps
Hevo
MAY 10, 2024
Being a cross-platform document-first NoSQL database program, MongoDB operates on JSON-like documents. On the other hand, JDBC is a Java application programming interface (API) used while executing queries in association with the database.
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Top Database Project Ideas to Work on 2023 [with Source Code]
Knowledge Hut
MAY 31, 2023
This is where database management systems come in handy. A database management system (DBMS) is a software system that helps organize, store and manage information efficiently. If you want to learn more about databases, check out Knowledgehut Database course. So, let's look at some top database project ideas.
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Unpacking Fauna: A Global Scale Cloud Native Database
Data Engineering Podcast
APRIL 22, 2019
FaunaDB is a cloud native database built by the engineers behind Twitter’s infrastructure and designed to serve the needs of modern systems. You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management.
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How to query JSONB array of objects in PostgreSQL
Hevo
DECEMBER 21, 2023
Do you have a NoSQL database that has no rigid shape and is causing data analysis complexity nightmares? PostgreSQL is a high-performing, open-sourced object-relational database with two JSON data storage types, JSON and JSONB. With JSON in PostgreSQL, you can have a solution to your complex problem.
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Hottest IT Certifications of 2015- NoSQL Databases (MongoDB Certification)
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.
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A Prequel to Data Mesh
Towards Data Science
JANUARY 16, 2024
Evolution of the data landscape 1980s — Inception Relational databases came into existence. Organizations began to use relational databases for ‘everything’. Databases were overwhelmed with transactional and analytical workloads. Result: Hadoop & NoSQL frameworks emerged. Result: Data warehouse was born.
Graph Databases In Production At Scale Using DGraph with Manish Jain - Episode 44
Data Engineering Podcast
AUGUST 19, 2018
For a substantial number of use cases, the optimal format for storing and querying that information is as a graph, however databases architected around that use case have historically been difficult to use at scale or for serving fast, distributed queries. Interview Introduction How did you get involved in the area of data management?
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Top 10 Hadoop Tools to Learn in Big Data Career 2024
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. Different databases have different patterns of data storage. Some databases like MongoDB have weak backup ability.
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Data Warehouse vs Big Data
Knowledge Hut
APRIL 23, 2024
Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data. It employs technologies such as Apache Hadoop, Apache Spark, and NoSQL databases to handle the immense scale and complexity of big data.
Top 10 AWS Applications and Their Use Cases [2024 Updated]
Knowledge Hut
MARCH 19, 2024
AWS, which stands for Amazon Web Services, is a range of cloud computing services, including services for computing power, storage, and databases. Regardless of whether it is in computing power, storage, databases, or machine learning, AWS allows us to use the services that are right for the use case. What is AWS?
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Best Morgan Stanley Data Engineer Interview Questions
U-Next
MARCH 1, 2023
A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.
Data Engineering Learning Path: A Complete Roadmap
Knowledge Hut
JUNE 23, 2023
Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. Coding helps you link your database and work with all programming languages.
5 Layers of Data Lakehouse Architecture Explained
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.
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Data Lakehouse Architecture Explained: 5 Layers
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.
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SQL Alchemy Tutorial
Edureka
MAY 23, 2023
SQL Alchemy is a powerful and popular Python library that provides an Object-Relational Mapping (ORM) tool for working with relational databases. It serves as a bridge between Python and various database management systems, allowing developers to interact with databases using Python code.
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Is Aws Certification Worth It?
Knowledge Hut
NOVEMBER 16, 2023
You can use architectures, programming languages, databases and operating systems you are familiar with. You have the option to choose the services you want to use and also select how you use them. Such flexibility allows you to focus on innovation instead of infrastructure.
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Cloud Computing Syllabus: Chapter Wise Summary of Topics
Knowledge Hut
JANUARY 9, 2024
3 Cloud Storage This unit covers cloud storage systems, their concepts, object storage (Ceph, OpenStack Swift, and Amazon S3), databases (DynamoDB, HBase, Cassandra, and MongoDB), and distributed file systems (Ceph FS and HDFS ). You can go for AWS Cloud Practitioner Certification training and boost your learning experience.
What are the Various AWS Products?
Knowledge Hut
NOVEMBER 17, 2023
Amazon EBS is mainly suitable for applications that need a database, file system, or entree to raw block-level storage. Database Amazon Relational Database Service (RDS) Amazon Relational Database Service (RDS) is easy to establish and run on a relational database in the cloud.
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Is Learning Data Science Hard - A Complete Guide
Knowledge Hut
JANUARY 18, 2024
SQL SQL is essential if you want to work with relational databases at any level of detail. 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).
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What Is a Serverless Database and Why Use One
Rockset
MAY 24, 2021
Companies can also take advantage of serverless databases. Serverless databases are designed to manage workloads that are unpredictable and changing. Similar to serverless functions, you don’t manage any infrastructure or database operations. Also, often storage and compute are separated. Serverless is not limited to functions.
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A Complete AWS Cheat Sheet: Important Topics Covered
Knowledge Hut
NOVEMBER 16, 2023
Opt for Cloud Computing Courses online to develop your knowledge of cloud storage, databases, networking, security, and analytics and launch a career in Cloud Computing. Relational Database Service (RDS): As a component of the relational database, RDS (Relational Database Service) enables the storing of data objects.
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CockroachDB In Depth with Peter Mattis - Episode 35
Data Engineering Podcast
JUNE 10, 2018
With the first wave of cloud era databases the ability to replicate information geographically came at the expense of transactions and familiar query languages. To address these shortcomings the engineers at Cockroach Labs have built a globally distributed SQL database with full ACID semantics in Cockroach DB.
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How to Install MongoDB on Ubuntu [Step-by-Step]
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-org-6.0.list
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A Practical Introduction To Graph Data Applications
Data Engineering Podcast
AUGUST 3, 2020
You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data platforms. What are the core modeling principles that they need to know for designing schemas in a graph database?
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Five Ways to Run Analytics on MongoDB – Their Pros and Cons
Rockset
FEBRUARY 2, 2022
MongoDB is a top database choice for application development. Developers choose this database because of its flexible data model and its inherent scalability as a NoSQL database. SQL databases, like MySQL and Postgres , are capable of fast updates and queries.
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AWS Instance Types Explained: Learn Series of Each Instances
Edureka
FEBRUARY 8, 2024
Use cases for memory-optimized instances include- Database Servers- Applications like relational databases benefit from the higher memory capacity to store and retrieve data efficiently. These databases often require high-speed storage to deliver fast read and write operations, making I-Series instances a suitable choice.
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Data Independence in DBMS: Understanding the Concept and Importance
Knowledge Hut
JULY 24, 2023
In the world of databases, data independence plays a vital role in making sure the flexibility and adaptability of database systems. Data independence tells us about the ability to modify the database schema or organization without affecting the applications that use the data. What is Data Independence of DBMS?
RDBMS vs NoSQL: Key Differences and Similarities
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.
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Top 16 Data Science Specializations of 2024 + Tips to Choose
Knowledge Hut
DECEMBER 29, 2023
NoSQL databases are often implemented as a component of data pipelines. Data engineers may choose from a variety of career paths, including those of Database Developer, Data Engineer, etc. Typically, experts in this field are responsible for the installation, setup, and upkeep of database management systems.
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Testing Spring Boot With Testcontainers by Sonali Mendis
Scott Logic
FEBRUARY 26, 2023
Since we are using Spring Boot, you would probably be extending an interface such as CrudRepository or MongoRepository based on your choice of database to create the repositories. I have a PostgreSQL database in my production, and now you are asking me to test with a H2? Wait what?? Alright, then what should I do? Yes, why not?
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DataOps Architecture: 5 Key Components and How to Get Started
Databand.ai
AUGUST 30, 2023
Related content: Read our guide to DataOps framework (coming soon) 5 Key Components of a DataOps Architecture 1. They include the various databases, applications, APIs, and external systems from which data is collected and ingested. Data Sources Data sources are the backbone of any DataOps architecture.
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Case Study: Complementing DynamoDB with Rockset for Real-Time IoT Analytics at 1NCE
Rockset
MARCH 15, 2022
Trying to Fit a Square Peg into a Round Hole As an AWS shop, we naturally use Amazon DynamoDB as our main operational database. But as a transaction-focused database, DynamoDB had definite limits when it came to analyzing that data, especially in real-time. We could then choose a database that naturally supported more powerful queries.
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Most Demanding Full Stack Developer Jobs in USA [2024]
Knowledge Hut
DECEMBER 26, 2023
Back-end components are the ones that work between the user interface, database, and the server of the website owner. They perform and supervise programming, debugging, and managing the server and database. to decide which non-relational NoSQL database requests to perform to MongoDB.
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15+ Must Have Data Engineer Skills in 2023
Knowledge Hut
NOVEMBER 28, 2023
Cloud Data engineering is all about designing, programming, and testing software, which is required for modern database solutions. Relational database management systems (RDBMS) remain the key to data discovery and reporting, regardless of their location. This can be easier when you are using existing cloud services.
Backend Developer Roadmap: The Ultimate Guide 2023
Knowledge Hut
APRIL 3, 2023
This includes the server, database, and application logic, as well as the APIs and other interfaces that connect the backend with the front end of the application. Backend developers work with programming languages such as Java, Python, Ruby, and PHP, as well as databases such as MySQL, MongoDB, and PostgreSQL.
97 things every data engineer should know
Grouparoo
OCTOBER 6, 2021
42 Learn to Use a NoSQL Database, but Not like an RDBMS Write answers to questions in NoSQL databases for fast access 43 Let the Robots Enforce the Rules Work with people to standardize and use code to enforce rules 44 Listen to Your Users—but Not Too Much Create a data team vision and strategy. Increase visibility.
Getting Started with Real-Time Analytics on MySQL Using Rockset
Rockset
JUNE 1, 2021
MySQL and PostgreSQL are widely used as transactional databases. When it comes to supporting high-scale and analytical use cases, you may often have to tune and configure these databases, which leads to a higher operational burden. This mitigates the need to tune these relational databases to handle heavy analytical workloads.
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