Data Engineering Podcast

JANUARY 13, 2019

How has the market for timeseries databases changed since we last spoke? How have the improvements and new features in the recent releases of PostgreSQL impacted the Timescale product? How has the market for timeseries databases changed since we last spoke? Can you refresh our memory about what TimescaleDB is?

Database 100

Database PostgreSQL SQL MongoDB 100

Christophe Blefari

FEBRUARY 23, 2024

JVM vs. SQL data engineer — There's a big discussion in the community about what real data engineering is. Is it DataFrames or SQL? Still, I prefer SQL/Python data engineering, as you know me. Neurelo raises $5m seed to provide HTTP APIs on top of databases (PostgreSQL, MongoDB and MySQL).

Data Lake 130

Data Lake PostgreSQL MongoDB Scala 130

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. MongoDB wasn’t originally developed with an eye on high performance for analytics.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

Data Engineering Podcast

AUGUST 6, 2022

For machine learning applications relational models require additional processing to be directly useful, which is why there has been a growth in the use of vector databases. Go to dataengineeringpodcast.com/linode today and get a $100 credit to launch a database, create a Kubernetes cluster, or take advantage of all of their other services.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Rockset

JULY 9, 2019

Consider the hoops we have to jump through when working with semi-structured data, like JSON, in relational databases such as PostgreSQL and MySQL. JSON is a good match for document databases, such as MongoDB. Now, consider what we have to do to load JSON data into a relational database.

Relational Database 40

Relational Database PostgreSQL MySQL Database 40

Rockset

JUNE 7, 2022

Editor Databases are a key architectural component of many applications and services. Traditionally, organizations have chosen relational databases like SQL Server, Oracle , MySQL and Postgres. Relational databases use tables and structured languages to store data. There are many NoSQL databases available in the market.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52

Rockset

JUNE 16, 2020

MongoDB.live took place last week, and Rockset had the opportunity to participate alongside members of the MongoDB community and share about our work to make MongoDB data accessible via real-time external indexing. We would be responsible for building and maintaining pipelines from these sources to MongoDB.

MongoDB 52

MongoDB Data Lake PostgreSQL Kafka 52

Data Engineering Podcast

JANUARY 13, 2020

YugabyteDB is an open source database designed to support planet scale workloads with high data density and full ACID compliance. 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.

SQL 100

SQL PostgreSQL MongoDB Database Design 100

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?

MongoDB 75

MongoDB PostgreSQL Consulting Java 75

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.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Knowledge Hut

APRIL 25, 2024

Here are some things that you should learn: Recursion Bubble sort Selection sort Binary Search Insertion Sort Databases and Cache To build a high-performance system, programmers need to rely on the cache. In addition, it is required in a database to keep track of the users' responses. to manage DBMS.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Hevo

MAY 23, 2023

Debezium is an open-source, distributed system that can convert real-time changes of existing databases into event streams so that various applications can consume and respond immediately. Debezium uses connectors like PostgreSQL, SQL, MySQL, Oracle, MongoDB, and more for respective databases to stream such changes.

PostgreSQL 52

PostgreSQL MongoDB MySQL SQL 52

Edureka

MARCH 5, 2024

Back-end Development Back-end development involves in building the server-side logic and database interactions that power the application behind the scenes. Database Management : Designing, implementing, and managing databases to store and retrieve data effectively. The LAMP stack features Linux, Apache, MySQL, and PHP.

MongoDB 40

MongoDB PostgreSQL MySQL Java 40

Rockset

AUGUST 30, 2021

Rockset is a real-time analytics database in the cloud that uses an indexing approach to deliver low-latency analytics at scale. The latest Rockset release, SQL-based rollups, has made real-time analytics on streaming data a lot more affordable and accessible. That is sufficient for some use cases.

SQL 52

SQL Kafka MongoDB MySQL 52

Data Engineering Podcast

FEBRUARY 11, 2018

The landscape of time series databases is extensive and oftentimes difficult to navigate. release of PostGreSQL had on the design of the project? Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? Can you start by explaining what Timescale is and how the project got started? What impact has the 10.0

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Data Engineering Podcast

OCTOBER 2, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. someone manually runs a SQL create statement, etc.) How do you account for assets (e.g.

IT 100

IT Food PostgreSQL MongoDB 100

Data Engineering Podcast

MARCH 5, 2022

Summary Databases are an important component of application architectures, but they are often difficult to work with. HarperDB was created with the core goal of being a developer friendly database engine. There has been an explosion of database engines over the past 5 – 10 years, with each entrant offering specific capabilities.

PostgreSQL 100

PostgreSQL MongoDB Software Engineer Software Engineering 100

Striim

FEBRUARY 14, 2023

Striim is a simple unified data integration and streaming platform that uniquely combines change data capture, application integration, Streaming SQL as a fully managed service that is used by the world’s top enterprises to truly deliver real-time business applications (not speculative, expensive infrastructure).

PostgreSQL 52

PostgreSQL MongoDB MySQL Kafka 52

Data Engineering Weekly

JULY 2, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork, and SQL grunt work out of building complete customer profiles, so you can quickly ship actionable, enriched data to every downstream team. Write SQL queries without learning SQL? See how it works today.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Rockset

MARCH 26, 2023

Breaking Bad… Data Silos We haven’t quite figured out how to avoid using relational databases. Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack.

Cloud 52

Cloud PostgreSQL Kafka Database 52

Edureka

MARCH 5, 2024

The languages, frameworks, databases, libraries, and other necessary components are regarded as a list of tools for full stack web development. They are competent in handling server-side logic, databases, and server infrastructure management in addition to user interface design and client-side functionality implementation.

MySQL 40

MySQL MongoDB NoSQL PostgreSQL 40

Knowledge Hut

DECEMBER 26, 2023

Let’s say you are working Node.js, and you need to connect to MongoDB. To be able to work with MongoDB in Node.js you need to have MongoDB driver for Node.js. For example, API services, databases, web servers etc. ii) Databases MySQL Most popular open-source relational database. Oracle A DBMS by Oracle.

MongoDB 98

MongoDB Programming Language Java Relational Database 98

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.

MySQL 52

MySQL MongoDB Programming Language Computer Science 52

Ascend.io

SEPTEMBER 14, 2023

Read More: Data Automation Engineer: Skills, Workflow, and Business Impact Python for Data Engineering Versus SQL, Java, and Scala When diving into the domain of data engineering, understanding the strengths and weaknesses of your chosen programming language is essential. It's specialized for database querying.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Rockset

AUGUST 2, 2023

This enrichment data has changing schemas and new data providers are constantly being added to enhance the insights, making it challenging for Windward to support using relational databases with strict schemas. They used MongoDB as their metadata store to capture vessel and company data.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Hevo

DECEMBER 26, 2023

Data is now considered to be one of the most valuable assets of any organization. It makes transactions within a business easier and facilitates a smooth flow of operations. Data is also a key decision-making tool as organizations are relying on evidence-based decision-making more than ever before.

Database 98

Database MongoDB Data MySQL 98

Rockset

SEPTEMBER 13, 2022

But handling all of your application needs is a tall task for any single database. For the database, optimizing for frequent, low-latency operations on individual records is different from optimizing for less-frequent aggregations or heavy filtering across many records. DynamoDB is a NoSQL database provided by AWS.

SQL 52

SQL Database Relational Database AWS 52

Rockset

NOVEMBER 23, 2021

It is now possible to continuously capture changes as they happen in your operational database like MongoDB or Amazon DynamoDB. Most analytics databases, including Apache Druid and ClickHouse, are immutable, meaning that data can’t easily be updated or rewritten. The problem?

MongoDB 59

MongoDB Data Ingestion PostgreSQL SQL 59

Knowledge Hut

NOVEMBER 28, 2023

To get a full stack internship , you need to acquire the skills in the front end and back end development listed below: These front end developer skills are categorized into the following: Basic Web Development Tools: HTML, CSS, TypeScript, JavaScript Integrated Development Environments (IDE):  Visual Studio Code IDE, Sublime Text 3 Front End Frameworks:  (..)

Recruitment 52

Recruitment Computer Science Java PostgreSQL 52

Knowledge Hut

DECEMBER 25, 2023

A person interested in becoming a Full-stack developer needs to have proficiency in both the front-end and back-end tools, just like I started as a Front-end developer and later on become a Full stack developer by mastering JavaScript backend technologies and databases.  In the backend, we have a lot of technologies and databases also.

Java 98

Java Database PostgreSQL Project 98

Knowledge Hut

DECEMBER 19, 2023

This type of developer works with the Full stack of a software application, beginning with Front end development and going through back-end development, Database, Server, API, and version controlling systems. Databases and Web Storage Full stack developer skills in Java would have to include good learning of databases and Web Storage.

Java 98

Java Programming Language Architecture Database 98

Rockset

NOVEMBER 28, 2022

Because all databases make technical tradeoffs, it’s common to move data from a source to a destination based on how the data will be used. A Common Antipattern: Real-Time CDC on a Cloud Data Warehouse One of the more common patterns for CDC is moving data from a transactional or operational database into a cloud data warehouse (CDW).

Data Warehouse 52

Data Warehouse PostgreSQL MongoDB Data Pipeline 52

Rockset

JANUARY 28, 2022

Seesaw was able to scale up its main database, an Amazon DynamoDB cloud-based service optimized for large datasets. Seesaw’s database holds multiple billions of records. However, Seesaw’s DynamoDB database stored the data in its own NoSQL format that made it easy to build applications, just not analytical ones.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

Knowledge Hut

DECEMBER 23, 2023

Back-end development is a required skill for full stack developer as it powers the application's server, and a back-end developer is a person who builds the code that allows data to be transmitted between the user's browser and the application's databases. Database skills is a vital skill in skills full stack developer.

Programming Language 52

Programming Language Java MongoDB MySQL 52

Edureka

JANUARY 12, 2024

Back-end: Handles server-side programming, database management , and server configuration. Requires knowledge of server-side languages, databases, and server management tools. They design user interfaces, ensuring a seamless and visually appealing experience for users, and also handle server-side logic, including database management.

NoSQL 52

NoSQL Java MongoDB Programming 52

Rockset

SEPTEMBER 20, 2022

Many of these services, as well as the dApps they may support, are built on transactional (OLTP) databases such as PostgreSQL, DynamoDB, MongoDB and others. These databases struggle to serve low latency results during high demand periods, when a lot of users are simultaneously querying data.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 52

Rockset

OCTOBER 20, 2021

Until now, the majority of the world’s data transformations have been performed on top of data warehouses, query engines, and other databases which are optimized for storing lots of data and querying them for analytics occasionally. S3 or GCS), NoSQL databases (e.g. DynamoDB or MongoDB), and relational databases (e.g.

SQL 52

SQL PostgreSQL MongoDB NoSQL 52