Rockset

JULY 6, 2022

This is the fifth post in a series by Rockset's CTO and Co-founder Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. So are schemaless NoSQL databases, which capably ingest firehoses of data but are poor at extracting complex insights from that data. NoSQL Comes to the Rescue.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Data Engineering Podcast

JANUARY 21, 2024

A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization. What are the organizational/business factors that contribute to the complexity of these systems? Summary Databases and analytics architectures have gone through several generational shifts.

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

ProjectPro

JUNE 6, 2025

To eliminate data redundancy, data modeling brings together data from diverse systems. A primary key is a column or set of columns in a relational database management system table that uniquely identifies each record. Consolidate and develop hybrid architectures in the cloud and on-premises, combining conventional, NoSQL, and Big Data.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

Azure Cosmos DB Pricing Azure Cosmos DB Tutorial: Getting Started with NoSQL Database Real-World Applications of Azure Cosmos DB Boosting Performance in Cosmos DB: Top Tips and Techniques Azure Cosmos DB Project Ideas Enhance Your Data Management Skills with ProjectPro's Guided Azure Projects! What is Cosmos DB Used for?

Database 40

Database Management MongoDB NoSQL 40

ProjectPro

JUNE 6, 2025

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Database Variety: AWS provides multiple database options such as Aurora (relational), DynamoDB (NoSQL), and ElastiCache (in-memory), letting startups choose the best-fit tech for their needs.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

An ETL developer designs, builds and manages data storage systems while ensuring they have important data for the business. ETL developers are responsible for extracting, copying, and loading business data from any data source into a data warehousing system they have created. Python) to automate or modify some processes.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

For example, imagine a fraud detection system in a banking environment that needs to analyze transactions between accounts to identify suspicious patterns. The result is a more efficient system that can quickly detect potential fraud. Let's consider a simplified social network to illustrate how a graph database operates.

Database 40

Database Database-centric Relational Database MongoDB 40

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. Rick Houlihan Where does NoSQL fit in the modern data stack?

NoSQL 52

NoSQL SQL Database MongoDB 52

ProjectPro

JUNE 6, 2025

They provide a centralized repository for data, known as a data warehouse, where information from disparate sources like databases, spreadsheets, and external systems can be integrated. Prices may vary by region, so referring to official AWS pricing documentation for region-specific details is advisable.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly. According to the 9th annual Future of Open Source Survey , 72-78% percent of the companies participate in open source projects.

Big Data 49

Big Data Project Metadata Programming Language 49

Data Engineering Podcast

MARCH 11, 2018

What was the state of software and database system development at the time and why did you find it necessary to write a book on this subject? Is there a difference in strategy when refactoring the data layer of a system when using a non-relational storage system? You first co-authored Refactoring Databases in 2006.

Database 100

Database MongoDB NoSQL Insurance 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!

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

Data engineering entails creating and developing data collection, storage, and analysis systems. Data engineers create systems that gather, analyze, and transform raw data into useful information. Major industries are turning to applicant tracking systems (ATS) to help their highly-innovative hiring operations.

Data Engineering 40

Data Engineering Data Engineer Recruitment Engineering 40

ProjectPro

JUNE 6, 2025

For storing data, use NoSQL databases as they are an excellent choice for keeping massive amounts of rapidly evolving organized/unorganized data. For machine learning applications , DVC is an open-source version control system. The data is split within each pipeline to take advantage of numerous servers or processors.

Machine Learning 58

Machine Learning Building Amazon Web Services Deep Learning 58

ProjectPro

JUNE 6, 2025

billion, and those with skills in cloud-based ETL tools and distributed systems will be in the highest demand. Data engineers are responsible for the end-to-end architecture of data platforms, ensuring that data systems are scalable, efficient, and capable of handling both real-time and batch processing.

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

Data ingestion systems such as Kafka , for example, offer a seamless and quick data ingestion process while also allowing data engineers to locate appropriate data sources, analyze them, and ingest data for further processing. Database tools/frameworks like SQL, NoSQL , etc.,

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these key value stores generally allow storing any data under a key).

Media 99

Media Database Metadata Data Schemas 99

ProjectPro

JUNE 6, 2025

It has brought access to various vital documents to the users’ fingertips. Data engineers are responsible for creating pipelines enabling data flow from various sources to data storage and processing systems. 2) Database Management A database management system is the foundation of any data infrastructure.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

Data Engineering Podcast

AUGUST 19, 2018

What has changed in recent years to allow for the current proliferation of graph oriented storage systems? What are some of the common uses of graph storage systems? What are your opinions on the graph query languages that have been adopted by other storages systems, such as Gremlin, Cypher, and GSQL?

Database 100

Database PostgreSQL NoSQL Transportation 100

Confluent

MAY 22, 2019

As IoT projects go from concepts to reality, one of the biggest challenges is how the data created by devices will flow through the system. What follows is an example of such a system, using existing best-in-class technologies. Stage two is how the central system collects and organizes that data.

Kafka 98

Kafka Google Cloud NoSQL Entertainment 98

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. How does data modeling in Fauna compare to that of relational or document databases? How does data modeling in Fauna compare to that of relational or document databases?

Database 100

Database Cloud NoSQL Scala 100

Knowledge Hut

DECEMBER 5, 2023

If you have a passion for information technology (IT) and dream of turning it into a fulfilling career, ponder the path of a systems engineer. Join us on a detailed exploration of who can pursue a career as a systems engineer and the steps to become one in the year 2024. Who is a System Engineer, and What Do They Do?

Systems 52

Systems Engineering Recruitment Electronics 52

ProjectPro

JUNE 6, 2025

High-performance databases, including relational ones like MySQL and NoSQL ones like MongoDB and Cassandra. They are EBS-optimized and run on the AWS Nitro System. Distributed web-scale cache stores, like Memcached and Redis, that offer an in-memory cache of key-value type data.

PostgreSQL 40

PostgreSQL MySQL AWS Relational Database 40

ProjectPro

JUNE 6, 2025

AWS DynamoDB An alternative to relational databases, Amazon DynamoDB's NoSQL database supports several different data formats, including document, graph, key-value, memory, and search. DynamoDB is a document database with key-value architecture that offers scalable performance in single-digit milliseconds.

AWS 40

AWS Data Engineering Data Engineer Engineering 40

Knowledge Hut

DECEMBER 26, 2023

Today, companies use Python for GUI and CLI-based software development, web development (server-side), data science, machine learning, AI, robotics, drone systems, developing cyber-security tools, mathematics, system scripting, etc. Instead of having tables with rows and columns, MongoDB uses a collection of documents.

Certification 98

Certification Programming MongoDB MySQL 98

ProjectPro

JUNE 6, 2025

Big data analytics - Big data and Cloud technologies go hand in hand and essentially make systems faster, scalable, failsafe, high-performance, and cheaper. Cloud consists of a shared pool of resources and systems. It is responsible for accessing the internet and performing searches and application tasks for mobile systems.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

Cloudera

AUGUST 30, 2022

It outlines a scenario in which “recently married people might want to change their names on their driver’s licenses or other documentation. As such, managers at different agencies need to sort through multiple systems to make sure these documents are delivered correctly—even though they all apply to the same individuals.”.

Data Architecture 79

Data Architecture Architecture Data Lake NoSQL 79

ProjectPro

JUNE 6, 2025

This is a fictitious pipeline network system called SmartPipeNet, a network of sensors with a back-office control system that can monitor pipeline flow and react to events along various branches to give production feedback, detect and reactively reduce loss, and avoid accidents. Airflow is used for orchestration in this pipeline.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

According to Wikipedia , a Data Warehouse is defined as "a system used for reporting and data analysis. The data to be collected may be structured, unstructured or semi-structured and has to be obtained from corporate or legacy databases or maybe even from information systems external to the business but still considered relevant.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

AltexSoft

MAY 14, 2021

Modern technologies allow gathering both structured (data that comes in tabular formats mostly) and unstructured data (all sorts of data formats) from an array of sources including websites, mobile applications, databases, flat files, customer relationship management systems (CRMs), IoT sensors, and so on. NoSQL databases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Edureka

AUGUST 26, 2024

MongoDB is a NoSQL database where data are stored in a flexible way that is similar to JSON format. If all you require is a grid system for laying out your page, pre-made buttons, or navigation bars that are visually appealing on any device, then Bootstrap is your answer. MongoDB is a NoSQL database used in web development.

MongoDB 97

MongoDB Programming Language MySQL Certification 97

Workfall

MARCH 21, 2023

We can use database management systems to perform all database actions through a graphical user interface. SurrealDB is a serverless document-graph web database that is flexible, developer-friendly, and fully ACID transactional. In this blog, we’ll explore: What is SurrealDB? What is Jamstack?

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Rockset

JUNE 7, 2022

On the other hand, non-relational databases (commonly referred to as NoSQL databases) are flexible databases for big data and real-time web applications. NoSQL databases don't always offer the same data integrity guarantees as a relational database, but they're much easier to scale out across multiple servers.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52

Rockset

MAY 17, 2022

This is the fourth post in a series by Rockset's CTO Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. For instance, customer personalization systems need to combine historic data sets with real-time data streams to instantly provide the most relevant product recommendations to customers.

SQL 52

SQL NoSQL Hadoop MongoDB 52

ProjectPro

JUNE 6, 2025

RDBMS stands for Relational Database Management System. SQL dialects refer to the different versions or "flavors" of SQL implemented by various database management systems. is standardized by ANSI, each database system may extend it with its own custom functions, commands, and behaviors—resulting in slightly different dialects.

SQL 40

SQL MySQL MongoDB Database 40

Netflix Tech

MARCH 7, 2023

Since Cassandra is NoSql, we have more tables which help us create reverse indices and run admin jobs so that we can scan all annotation operations whenever there is a need. This API finds all Elasticsearch documents with ID1 and marks isAnnotationOperationActive=FALSE. To store Annotation Operations we have the following main tables.

Data Ingestion 112

Data Ingestion Management Media Algorithm 112