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Database NoSQL SQL 
KDnuggets
SEPTEMBER 5, 2022
People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.
160 
KDnuggets
MARCH 16, 2023
Learn about NoSQL Databases and their types like key-value, document, graph and column family with their use cases.
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ProjectPro
JUNE 6, 2025
NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. HBase vs.
40 
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?
ProjectPro
JUNE 6, 2025
Table of Contents MongoDB NoSQL Database Certification- Hottest IT Certifications of 2025 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.
40 
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.
159 
KDnuggets
SEPTEMBER 8, 2023
Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.
139 
ProjectPro
JUNE 6, 2025
Traditional databases often need help to capture these intricate relationships, leaving you with a fragmented view of your data. This is where graph databases come in— they’re like having a high-definition map that reveals every connection. Table of Contents What is a Graph Database? Why Graph Databases?
40 
ProjectPro
JUNE 6, 2025
Explore the world of data analytics with the top AWS databases! Check out this blog to discover your ideal database and uncover the power of scalable and efficient solutions for all your data analytical requirements. Let’s understand more about AWS Databases in the following section.
40 
ProjectPro
JUNE 6, 2025
At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data. Did you know SQL is the top skill listed in 73.4% Almost all major tech organizations use SQL. According to the 2022 developer survey by Stack Overflow , Python is surpassed by SQL in popularity.
ProjectPro
JUNE 6, 2025
Ability to demonstrate expertise in database management systems. You may skip chapters 11 and 12 as they are less useful for a database engineer. Database Management Systems Softwares, called database management systems that assist in handling large datasets, are a part of data engineers’ everyday lives.
ProjectPro
JUNE 6, 2025
Are you ready to join the database revolution? Data is the new oil" has become the mantra of the digital age, and in this era of rapidly increasing data volumes, the need for robust and scalable database management solutions has never been more critical. With such mind-boggling data growth, traditional databases won't cut it anymore.
40 
ProjectPro
JUNE 6, 2025
Explore beginner-friendly and advanced SQL interview questions with answers, syntax examples, and real-world database concepts for preparation. Looking to land a job as a data analyst or a data scientist, SQL is a must-have skill on your resume. Data was being managed, queried, and processed using a popular tool- SQL!
40 
ProjectPro
JUNE 6, 2025
MongoDB Inc offers an amazing database technology that is utilized mainly for storing data in key-value pairs. It proposes a simple NoSQL model for storing vast data types, including string, geospatial , binary, arrays, etc. This blog enlists 10 MongoDB projects that will help you learn about processing big data in a MongoDB database.
66 
ProjectPro
JUNE 6, 2025
Say goodbye to database downtime, and hello to Amazon Aurora! A detailed study report by Market Research Future (MRFR) projects that the cloud database market value will likely reach USD 38.6 A detailed study report by Market Research Future (MRFR) projects that the cloud database market value will likely reach USD 38.6
40 
ProjectPro
JUNE 6, 2025
Access various data resources with the help of tools like SQL and Big Data technologies for building efficient ETL data pipelines. Structured Query Language or SQL (A MUST!!): The role of a data engineer is to use tools for interacting with the database management systems. for working on cloud data warehouses.
ProjectPro
JUNE 6, 2025
Physical data model- The physical data model includes all necessary tables, columns, relationship constraints, and database attributes for physical database implementation. A physical model's key parameters include database performance, indexing approach, and physical storage. What is the definition of a foreign key constraint?
ProjectPro
JUNE 6, 2025
You can easily transition to other data-driven jobs such as data engineer , analyst, database developer, and scientist. He is an expert SQL user and is well in both database management and data modeling techniques. SQL and Database Architecture Database architecture expertise is essential for an ETL developer.
ProjectPro
JUNE 6, 2025
Looking to master SQL? Begin your SQL journey with confidence! This all-inclusive guide is your roadmap to mastering SQL, encompassing fundamental skills suitable for different experience levels and tailored to specific job roles, including data analyst, business analyst, and data scientist. But why is SQL so essential in 2023?
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Rockset
JULY 22, 2022
Last week, Rockset hosted a conversation with a few seasoned data architects and data practitioners steeped in NoSQL databases to talk about the current state of NoSQL in 2022 and how data teams should think about it. NoSQL is great for well understood access patterns. Don’t blindly dump data into a NoSQL system.
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ProjectPro
JUNE 6, 2025
The following questions, sourced from Glassdoor span topics like SQL queries, Python programming, data storage, data warehousing , and data modeling, providing a comprehensive overview of what to expect in your Amazon Data Engineer interview. Talk about the importance of indexing in databases.
ProjectPro
JUNE 6, 2025
By 2030, the market for database as a service is likely to reach 80.95 In a market like this, the choice of a database solution can make or break the success of your applications. As the volume and complexity of data continue to grow, selecting the right database technology has become even more critical. NoSQL Document Database.
ProjectPro
JUNE 6, 2025
List of the Best Data Warehouse Tools Amazon Redshift Google BigQuery Snowflake Microsoft Azure Synapse Analytics (Azure SQL Data Warehouse) Teradata Amazon DynamoDB PostgreSQL Hone Your Data Warehousing Skills with ProjectPro's Hands-On Expertise FAQs on Data Warehousing Tools What are Data Warehousing Tools?
58 
Cloudera
NOVEMBER 23, 2021
What is Cloudera Operational Database (COD)? Operational Database is a relational and non-relational database built on Apache HBase and is designed to support OLTP applications, which use big data. The operational database in Cloudera Data Platform has the following components: . CDP Operational Database Data Service.
91 
ProjectPro
JUNE 6, 2025
The datasets are usually present in Hadoop Distributed File Systems and other databases integrated with the platform. Spark SQL, for instance, enables structured data processing with SQL. Hive uses HQL, while Spark uses SQL as the language for querying the data. However, no such option is present in Spark SQL.
45 
ProjectPro
JUNE 6, 2025
Data modelers are highly in demand for building effective data modeling solutions by analyzing enterprise data and managing efficient database systems. The data modeler builds, implements, and analyzes data architecture and data modeling solutions using relational, dimensional, and NoSQL databases. What does a Data Modeler do?
40 ProjectPro
JUNE 6, 2025
Through engaging video content and hands-on practice using various tools and real-world databases, you will grasp data engineering fundamentals and acquire skills directly applicable to a data engineer role. These modules give you a comprehensive introduction to the complete data engineering ecosystem and lifecycle. stars and 1,004 reviews.
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?
100 ProjectPro
JUNE 6, 2025
Use statistical methodologies and procedures to make reports Work with online database systems Improve data collection and quality procedures in collaboration with the rest of the team Kickstart your journey in the exciting domain of Data Science with these solved data science mini projects today!
56 
Analytics Vidhya
FEBRUARY 22, 2023
Introduction Data replication is also known as database replication, which is copying data to ensure that all information remains consistent across all data resources in real-time. data replication is like a safety net that keeps your information safe from disappearing or falling through the cracks. In most cases, data alters.
276 
ProjectPro
JUNE 6, 2025
In this book, you will study technologies such as Hadoop, Storm , and NoSQL databases, in addition to a general framework for handling big data. This book is intended for data warehouse designers, developers, architects, business analysts, data analysts, and database administrators.
ProjectPro
JUNE 6, 2025
Companies are actively seeking talent in these areas, and there is a huge market for individuals who can manipulate data, work with large databases and build machine learning algorithms. For this task, you will need to be able to work with large databases, extract data, and manipulate it.
75 ProjectPro
JUNE 6, 2025
Azure Databricks is closely linked to Azure's computation and storage resources, including Azure Blob Storage, Data Lake Store, SQL Data Warehouse, and HDInsights. Microsoft Azure SQL Database Azure SQL Database, a member of the Azure SQL family, is a relational database service that is continually updated and fully managed for the cloud.
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.
52 
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.
52 
Data Engineering Podcast
JANUARY 21, 2024
Summary Databases and analytics architectures have gone through several generational shifts. Powered by Trino, Starburst runs petabyte-scale SQL analytics fast at a fraction of the cost of traditional methods, helping you meet all your data needs ranging from AI/ML workloads to data applications to complete analytics.
147 
ProjectPro
JUNE 6, 2025
Data Language: SQL is the most popular data language. You can expect interview questions from various technologies and fields, such as Statistics, Python, SQL, A/B Testing, Machine Learning , Big Data, NoSQL , etc. Why do you think NoSQL databases can be better than SQL databases? How does this work?
73 
ProjectPro
JUNE 6, 2025
A data engineer is often required to use APIs to retrieve data from databases. Project Idea: Time Series Analysis with Facebook Prophet Python and Cesium Psycopg2, pyodbc, sqlalchemy When one hears the word ‘database’, they are likely to think of data stored in the form of tables having various rows and columns.
Cloudera
SEPTEMBER 1, 2022
Apache HBase has long been the database of choice for business-critical applications across industries. This is primarily because HBase provides unmatched scale, performance, and fault-tolerance that few other databases can come close to. First, COD provides both NoSQL and SQL approaches to querying data.
84 
Netflix Tech
DECEMBER 14, 2018
System Requirements Support for Structured Data The growth of NoSQL databases has broadly been accompanied with the trend of data “schemalessness” (e.g., We have chosen the high data capacity and high performance Cassandra (C*) database as the backend implementation that serves as the source of truth for all our data.
99 
Cloudera
NOVEMBER 30, 2022
What is CDP Operational Database (COD). CDP Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. It helps developers automate and simplify database management with capabilities like auto-scale, and is fully integrated with Cloudera Data Platform (CDP).
83 
ProjectPro
JUNE 6, 2025
Questions span data warehousing , ETL processes, big data technologies , SQL, data processing, optimization, security, privacy, and data visualization. The on-site assessments cover SQL , analytics, machine learning , and algorithms. How would you optimize a SQL query for a large dataset in a data warehouse?
Knowledge Hut
JULY 24, 2023
The future of SQL (Structured Query Language) is a scalding subject among professionals in the data-driven world. Recently, the advent of stream processing has unlocked the door for a new era in database technology. According to recent studies, the global database market will grow from USD 63.4 How is SQL Being Utilized?
52 
ProjectPro
JUNE 6, 2025
Clickhouse Source: Github Clickhouse is a column-oriented database management system used for the online analytical processing of queries ( also known as OLAP). It allows the creation of tables and databases in runtime, loading data, and running queries without reconfiguring or restarting the server.
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