Data Engineering Podcast

JUNE 19, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. That’s where our friends at Ascend.io

Metadata 130

Metadata MongoDB Scala MySQL 130

Data Engineering Podcast

JUNE 12, 2022

Aparavi was created to tame the sprawl of information across machines, datacenters, and clouds so that you can reduce the amount of duplicate data and save time and money on managing your data assets. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability.

Unstructured Data 130

Unstructured Data MongoDB Scala MySQL 130

Knowledge Hut

MARCH 20, 2024

Working on cloud infrastructure like AWS and other data platforms like Databricks and Snowflake. Example 2 Our team is hiring an AI engineer to help us with core backend development and build cloud-native AI solutions. Core roles and responsibilities: I work with programming languages like Python, C++, Java, LISP, etc.,

Engineering 52

Engineering NoSQL Programming Language Deep Learning 52

Data Engineering Podcast

AUGUST 21, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 100

Data Engineering Podcast

NOVEMBER 6, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

MongoDB 130

MongoDB Scala MySQL Data Lake 130

Data Engineering Podcast

OCTOBER 16, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. That’s where our friends at Ascend.io

Data Lake 100

Data Lake Food MongoDB Scala 100

Knowledge Hut

MARCH 20, 2024

Average Salary: $126,245 Required skills: Familiarity with Linux-based infrastructure Exceptional command of Java, Perl, Python, and Ruby Setting up and maintaining databases like MySQL and Mongo Roles and responsibilities: Simplifies the procedures used in software development and deployment. You must be familiar with networking.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

DECEMBER 27, 2023

Cloud Platforms As organizations move online, they prefer storing information in the cloud. Companies like Amazon, which uses AWS (Amazon Web Service), hire individuals with knowledge of cloud platforms. With the help of python, Java, and Ruby, along with AI and ML, you can create any application.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

Data Engineering Podcast

NOVEMBER 13, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Why migrate?

MongoDB 100

MongoDB Scala Google Cloud MySQL 100

Cloudera

JULY 13, 2021

After the launch of CDP Data Engineering (CDE) on AWS a few months ago, we are thrilled to announce that CDE, the only cloud-native service purpose built for enterprise data engineers, is now available on Microsoft Azure. . CDE supports Scala, Java, and Python jobs. CDE also support Airflow job types. .

Data Engineering 125

Data Engineering Data Engineer Engineering Pipeline-centric 125

Data Engineering Podcast

OCTOBER 30, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Engineering 100

Engineering MongoDB Scala MySQL 100

Data Engineering Podcast

JULY 24, 2022

release, and the new features coming with Dagster Cloud’s general availability. Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. and cloud to GA? When is Dagster/Dagster Cloud the wrong choice?

MongoDB 100

MongoDB Scala MySQL Data Lake 100

Data Engineering Podcast

JULY 17, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. That’s where our friends at Ascend.io

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

SEPTEMBER 25, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. That’s where our friends at Ascend.io

Food 100

Food MongoDB Scala MySQL 100

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Data Engineering Podcast

SEPTEMBER 18, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. That’s where our friends at Ascend.io

Hospitality 100

Hospitality Food MongoDB Scala 100

Data Engineering Podcast

OCTOBER 9, 2022

In this episode Purvi Shah, the VP of Enterprise Big Data Platforms at American Express, explains how they have invested in the cloud to power this visibility and the complex suite of integrations they have built and maintained across legacy and modern systems to make it possible. Data teams are increasingly under pressure to deliver.

Food 100

Food MongoDB Scala MySQL 100

Data Engineering Podcast

MAY 29, 2022

In this episode SVP of engineering Shireesh Thota describes the impact on your overall system architecture that Singlestore can have and the benefits of using a cloud-native database engine for your next application. That’s where our friends at Ascend.io Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Architecture 100

Architecture Database Data Architecture PostgreSQL 100

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52

Scala Hospitality Healthcare Retail 52

Data Engineering Podcast

JULY 31, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. That’s where our friends at Ascend.io

Data Analysis 100

Data Analysis MongoDB Scala Algorithm 100

Knowledge Hut

APRIL 25, 2023

These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Data Engineering Podcast

SEPTEMBER 11, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. That’s where our friends at Ascend.io

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

Data Engineering Podcast

JULY 10, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. That’s where our friends at Ascend.io

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

JULY 3, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Data Engineering Podcast

AUGUST 13, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Metadata 100

Metadata MongoDB Scala MySQL 100

Snowflake

SEPTEMBER 7, 2023

Snowpark is the set of libraries and runtimes that enables data engineers, data scientists and developers to build data engineering pipelines, ML workflows, and data applications in Python, Java, and Scala. With this announcement, External Access is in public preview on Amazon Web Services (AWS) regions.

Amazon Web Services 116

Amazon Web Services AWS Government Python 116

Data Engineering Podcast

AUGUST 6, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. That’s where our friends at Ascend.io

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

OCTOBER 2, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. That’s where our friends at Ascend.io

IT 100

IT Food PostgreSQL MongoDB 100

Data Engineering Podcast

AUGUST 28, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Building 100

Building MongoDB Scala MySQL 100

Snowflake

AUGUST 16, 2023

Applications Snowflake Native App Framework now available in AWS – public preview Snowflake Native Apps are an entirely new way to put data to work. Developers can now start building and testing Snowflake Native Apps in their accounts in AWS. Learn more here. Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 52

Data Engineering Podcast

JUNE 26, 2022

Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. That’s where our friends at Ascend.io

Data Management 100

Data Management Management MongoDB Scala 100

Data Engineering Podcast

JUNE 5, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Security 100

Data Security Metadata MongoDB Scala 100

Data Engineering Podcast

AUGUST 13, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloud Academy

JANUARY 27, 2022

Some good options are Python (because of its flexibility and being able to handle many data types), as well as Java, Scala, and Go. Learn about the AWS-managed Kafka offering in this course to see how it can be more quickly deployed. This learning path covers the basics of Java, including syntax, functions, and modules.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. A machine learning engineer should know deep learning, scaling on the cloud, working with APIs, etc. Snowflake: Snowflake is a provider that offers cloud-based data analytics and storage services.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

SEPTEMBER 4, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

MongoDB 100

MongoDB Scala MySQL Data Ingestion 100