Data Engineering Podcast

JULY 24, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial. You’re releasing the stable 1.0

MongoDB 100

MongoDB Scala MySQL Data Lake 100

Data Engineering Podcast

JUNE 19, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Metadata 130

Metadata MongoDB Scala MySQL 130

Data Engineering Podcast

JULY 17, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

NOVEMBER 13, 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. Sign up free at dataengineeringpodcast.com/rudder Data teams are increasingly under pressure to deliver.

MongoDB 100

MongoDB Scala MySQL Google Cloud 100

Data Engineering Podcast

OCTOBER 30, 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. Sign up free at dataengineeringpodcast.com/rudder Data teams are increasingly under pressure to deliver.

Engineering 100

Engineering MongoDB Scala MySQL 100

Data Engineering Podcast

OCTOBER 16, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Lake 100

Data Lake Food MongoDB Scala 100

Data Engineering Podcast

SEPTEMBER 18, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Hospitality 100

Hospitality Food MongoDB Scala 100

Data Engineering Podcast

JULY 31, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Analysis 100

Data Analysis MongoDB Scala Algorithm 100

Data Engineering Podcast

JULY 10, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

JULY 3, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Data Engineering Podcast

OCTOBER 9, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Food 100

Food MongoDB Scala MySQL 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

IT 100

IT Food PostgreSQL MongoDB 100

Data Engineering Podcast

AUGUST 6, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

JUNE 26, 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. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Management 100

Data Management Management MongoDB Scala 100

Knowledge Hut

MAY 23, 2024

BigML: BigML is an online, cloud-based, event-driven tool that helps in data science and machine learning operations. Along with all these, Apache spark caters to different APIs that are Python, Java, R, and Scala programmers can leverage in their program. Even a non-technical user can understand this representation.

Data Science 52

Data Science MongoDB Programming Language Hadoop 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.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

Programming and Scripting Skills Building data processing pipelines requires knowledge of and experience with coding in programming languages like Python, Scala, or Java. Therefore, it is essential to have a thorough understanding of programming languages like Python, Java, or Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

MAY 28, 2024

One of the first cloud platforms, it has been in development since June 2007, when it supported only the Ruby programming language, but now supports Java, Node.js, Scala, Clojure, Python, PHP, and Go. When your app requires open socket communication to support real-time events. Strapi Strapi is the leading open-source headless CMS.

Programming Language 52

Programming Language Database PostgreSQL MongoDB 52

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. This scenario involves three main characters — publishers, subscribers, and a message or event broker. Learn about scheduled online and live meetups on the Kafka Events page. Kafka cluster and brokers.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Knowledge Hut

DECEMBER 26, 2023

Data from many different sources, such as bcolz, MongoDB, SQLAlchemy, Apache Spark, PyTables, etc., Now that programming language can be anything from Python, R, Scala, Java, Go, SQL, and a few others. Additionally, it can do high-performance interaction across extremely big or streaming information. may be accessed using Blaze.

Data Science 92

Data Science Python Programming Language Portfolio 92

ProjectPro

JANUARY 19, 2022

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with. Also, learn how to use Event hubs for cab data import and use an Azure VM running a generator code to simulate real-time data.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

DECEMBER 19, 2023

Amongst the most common patterns used for software architecture are, Layered patterns, Client-Server patterns, Event-driven patterns, Microkernel patterns, and Microservices patterns. It was originally designed to be for Java, but gradually other languages like Scala, Kotlin, and Groovy were brought onto Java platforms.

Java 98

Java Programming Language Architecture Database 98

U-Next

AUGUST 25, 2022

An open-spurce NoSQL database management program, MongoDB architecture, is used as an alternative to traditional RDMS. MongoDB is built to fulfil the needs of modern apps, with a technical base that allows you through: The document data model demonstrates the most effective approach to work with data. What is MongoDB?

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

ProjectPro

NOVEMBER 14, 2015

It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala. With this weblogs can be tracked based on events and browsing patterns and histories.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Confluent

SEPTEMBER 20, 2019

BigQuery, Amazon Redshift, and MongoDB Atlas) and caches (e.g., This blog post goes over: The complexities that users will run into when self-managing Apache Kafka on the cloud and how users can benefit from building event streaming applications with a fully managed service for Apache Kafka.

Kafka 21

Kafka Management Cloud AWS 21

ProjectPro

JULY 27, 2021

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? It is a special stored procedure that gets called automatically in response to an event. Azure Stream Analytics can analyze a massive volume of structured and unstructured data at around a million events per second and provide relatively low latency outputs.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40