Data Engineering Podcast

AUGUST 6, 2017

Summary Building a data pipeline that is reliable and flexible is a difficult task, especially when you have a small team. Astronomer is a platform that lets you skip straight to processing your valuable business data. Interview Introduction How did you first get involved in the area of data management?

PostgreSQL 100

PostgreSQL MongoDB Data Pipeline Kafka 100

Data Engineering Podcast

AUGUST 5, 2019

Summary Data is only valuable if you use it for something, and the first step is knowing that it is available. As organizations grow and data sources proliferate it becomes difficult to keep track of everything, particularly for analysts and data scientists who are not involved with the collection and management of that information.

PostgreSQL 100

PostgreSQL MongoDB Metadata Media 100

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. And the data volumes these applications need to analyze typically scale into multiple terabytes.

MongoDB 52

MongoDB Data Lake PostgreSQL Kafka 52

Knowledge Hut

DECEMBER 21, 2023

In the database ecosystem, Postgres is one of the top open-source databases, and one of the most widely used PSQL tools for managing PostgreSQL is pgAdmin. To run PostgreSQL instances on the Azure cloud, Azure offers Azure Database for PostgreSQL. What are PostgreSQL Tools? Why Use a GUI Tool?

PostgreSQL 52

PostgreSQL MySQL MongoDB SQL 52

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. Yet, analytics is now a vital part of modern data applications.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

Rockset

JUNE 7, 2022

Relational databases use tables and structured languages to store data. They usually have a fixed schema, strict data types and formally-defined relationships between tables using foreign keys. They’re reliable, fast and support checks and constraints that help enforce data integrity. They aren’t perfect, though.

MongoDB 52

MongoDB NoSQL Relational Database Non-relational Database 52

Scott Logic

FEBRUARY 26, 2023

But if you are adding more functionality to your repository than what is provided by spring framework data repository it’s always recommended to test your repositories with integration tests. I have a PostgreSQL database in my production, and now you are asking me to test with a H2? Wait what?? But I don’t recommend. Yes, why not?

MongoDB 75

MongoDB PostgreSQL Consulting Java 75

Edureka

AUGUST 26, 2024

MEAN MEAN stands for MongoDB, Express.js, Angular, and Node.js. MongoDB is a NoSQL database where data are stored in a flexible way that is similar to JSON format. MERN MERN stands for MongoDB, Express.js, React, and Node.js. MongoDB is a NoSQL database used in web development. as a framework.

MongoDB 97

MongoDB Programming Language MySQL Certification 97

Data Engineering Podcast

OCTOBER 2, 2022

Summary Data lineage is something that has grown from a convenient feature to a critical need as data systems have grown in scale, complexity, and centrality to business. Alvin is a platform that aims to provide a low effort solution for data lineage capabilities focused on simplifying the work of data engineers.

IT 100

IT Food PostgreSQL MongoDB 100

Data Engineering Podcast

APRIL 28, 2019

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Database 100

Database PostgreSQL MongoDB MySQL 100

Data Engineering Podcast

MARCH 5, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. So now your modern data stack is set up.

PostgreSQL 100

PostgreSQL MongoDB Software Engineering Software Engineer 100

Data Engineering Podcast

JANUARY 13, 2020

This requires a new class of data storage which can accomodate that demand without having to rearchitect your system at each level of growth. YugabyteDB is an open source database designed to support planet scale workloads with high data density and full ACID compliance. A growing trend in database engines (e.g.

SQL 100

SQL PostgreSQL MongoDB Database 100

Data Engineering Podcast

AUGUST 6, 2022

Summary The optimal format for storage and retrieval of data is dependent on how it is going to be used. For analytical systems there are decades of investment in data warehouses and various modeling techniques. Data stacks are becoming more and more complex.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Rockset

JULY 9, 2019

One of the main hindrances to getting value from our data is that we have to get data into a form that’s ready for analysis. Consider the hoops we have to jump through when working with semi-structured data, like JSON, in relational databases such as PostgreSQL and MySQL. Other data types require more thought.

Relational Database 40

Relational Database PostgreSQL MySQL Database 40

Knowledge Hut

MAY 31, 2023

In today's digital age, data is a critical asset for any business or organization. However, managing data can be a challenging task, especially when dealing with large amounts of information. It can also be used to generate reports and forecasts based on inventory data. From basic data retrieval to robust CRUD operations, Node.js

Database 52

Database Coding MongoDB Project 52

Knowledge Hut

APRIL 25, 2024

Data Structures and Algorithms In simple terms, the way to organize and store data can be referred to as data structures. Create data storage and acceptance solutions for websites, especially those that take payments. The backend developer must make a relational mapping for the data to be accessible when needed.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Hevo

MAY 23, 2023

Debezium uses connectors like PostgreSQL, SQL, MySQL, Oracle, MongoDB, and more for respective databases to stream such changes. 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.

PostgreSQL 52

PostgreSQL MongoDB MySQL SQL 52

Striim

FEBRUARY 14, 2023

Everyone wants real-time data…in theory. Yet the “Modern Data Stack” is largely focussed on delivering batch processing and reporting on historical data with cloud-native platforms. You can even use Striim’s synthetic continuous data generator and plug it into your targets to see how real-time data behaves in your environment.

PostgreSQL 52

PostgreSQL MongoDB MySQL Kafka 52

Knowledge Hut

MAY 28, 2024

Python can be used for back-end development, front-end development, data science, machine learning, and whatnot. A back-end developer deals with the logic and flow of data while a front-end developer is responsible for how that data appears to users. They will also use web servers like Apache and NGINX to deploy applications.

Python 97

Python Programming Language Generalist Programming 97

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. So, let's shape the future of Data Engineering together. See how it works today.

Data Engineering 52

Data Engineering Data Engineer Engineering Database-centric 52

Workfall

APRIL 6, 2023

Clients can subscribe to specific data events on the server using GraphQL Subscriptions, such as the creation of a new resource or the updating of an existing one. Hands-On The repository for the code used in this blog is at [link] Pre-requisites First of all, you have to ensure that MongoDB is installed on your machine.

MongoDB 59

MongoDB Building Transportation PostgreSQL 59

Edureka

AUGUST 18, 2024

Its main objective is to test the application or database layer to ensure that the specific software is free from any deadlocks and that data loss can be prevented. Some of the best testing tools are: Data Factory Data GeneraTurboTaxData 10. There are three categories of testing: structural, functional, and non-functional.

Programming Language 98

Programming Language Java Non-relational Database Database 98

Knowledge Hut

MARCH 27, 2024

On the other hand, data structures are like the tools that help organize and arrange data within a computer program. 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.

Database 52

Database Relational Database Algorithm Data Storage 52

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?

Database 52

Database NoSQL MongoDB Telecommunication 52

Knowledge Hut

SEPTEMBER 6, 2023

Over the past decade, the IT world transformed with a data revolution. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it. Plan and implement data platform resources. Now, it's different.

Certification 52

Certification Database MongoDB MySQL 52

Hevo

JUNE 19, 2024

Debezium uses connectors like PostgreSQL, SQL, MySQL, Oracle, MongoDB, and more for respective databases to stream such changes. 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.

PostgreSQL 40

PostgreSQL MongoDB MySQL SQL 40

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

Ascend.io

SEPTEMBER 14, 2023

The rise of data-intensive operations has positioned data engineering at the core of today’s organizations. As the demand to efficiently collect, process, and store data increases, data engineers have started to rely on Python to meet this escalating demand. Why Python for Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Edureka

JULY 12, 2024

The MERN Stack is a popular technology stack with MongoDB as the database, Express as the web framework, and React as the javascript frame: js, React, and Node. It combines four essential technologies: MongoDB, Expres.js, React, and Node. MongoDB is software that stores data in flexible documents and is in the Non-SQL category.

MongoDB 40

MongoDB MySQL PostgreSQL NoSQL 40

Rockset

MARCH 17, 2022

Real-time updates give you the power to insert, delete and update data in place. 1) Late Arriving Data in Time-Based Window Rollups ⌛️ Let's say you have a rollup that's counting events for each hour. A mutable database allows you to recompute the results with the late-arriving data. 2) Data Enrichment ?

Database 52

Database IT PostgreSQL MongoDB 52

Rockset

NOVEMBER 23, 2021

We put our users first and obsess about helping our users achieve speed, scale and simplicity in their modern real-time data stack (some of which I discuss in depth below). With clickstream or sensor data, the volume can be incredibly high — many terabytes of data per day — as well as incredibly unpredictable, scaling up and down rapidly.

MongoDB 59

MongoDB Data Ingestion SQL PostgreSQL 59

Rockset

AUGUST 30, 2021

Apache Kafka has made acquiring real-time data more mainstream, but only a small sliver are turning batch analytics, run nightly, into real-time analytical dashboards with alerts and automatic anomaly detection. The majority are still draining streaming data into a data lake or a warehouse and are doing batch analytics.

SQL 52

SQL Kafka MongoDB MySQL 52

Edureka

MARCH 5, 2024

As a full stack developer, you create both what users see (like profiles and feeds) and the behind-the-scenes stuff (like storing data and handling interactions). Data processing, business logic implementation, and server-side routing are some of the tasks that backend developers handle. Imagine building a website like Instagram.

MongoDB 40

MongoDB PostgreSQL MySQL Java 40

Knowledge Hut

MARCH 15, 2024

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. In an RDBMS, data is kept in rows and columns. In an RDBMS, data is kept in rows and columns. What is RDBMS? RDBMS Database is a relational database.

NoSQL 52

NoSQL Database-centric Relational Database PostgreSQL 52

Edureka

OCTOBER 8, 2024

Database Management: Storing, retrieving data, and managing it effectively are vital. Full Stack Developers are adept at working with databases, whether they are SQL-based like MySQL or No SQL like MongoDB. Database management: Data is in the center of most of the applications. Popular choices are MySQL or PostgreSQL.

MongoDB 40

MongoDB NoSQL MySQL PostgreSQL 40

Striim

NOVEMBER 13, 2023

Introduction In the fast-evolving world of data integration, Striim’s collaboration with Snowflake stands as a beacon of innovation and efficiency. This method is particularly adept at handling large data sets securely and efficiently. As low as 3 seconds P95 latency with 158 gb/hr of Oracle CDC ingest.

Data Ingestion 59

Data Ingestion Utilities Data Integration Data 59

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. The world, however, is moving from batch to real-time, and data transformations are no exception.

SQL 52

SQL PostgreSQL MongoDB NoSQL 52