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 126

Data Engineering Data Engineer Engineering Pipeline-centric 126

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 Machine Learning 130

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? Why migrate?

MongoDB 100

MongoDB Scala MySQL Google Cloud 100

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

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

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 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

Confluent

APRIL 23, 2019

When it was first created, Apache Kafka ® had a client API for just Scala and Java. You can run them with an on-prem cluster, or you can use the fully managed services in Confluent Cloud. Since then, the Kafka client API has been developed for many other programming languages which enables you to pick the language you want.

Programming Language 101

Programming Language Kafka Programming Scala 101

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

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

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

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

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

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

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

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

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Use case recap.

Process 90

Process Kafka Scala SQL 90

Knowledge Hut

APRIL 25, 2024

If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. Pivotal HDB: Pivotal HDB is a cloud-based big data platform that helps organizations process and analyzes large data sets in the cloud.

Big Data 98

Big Data Technology NoSQL Hadoop 98

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

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

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

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

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

Knowledge Hut

SEPTEMBER 29, 2023

As an expert in the dynamic world of cloud computing, I am always amazed by the variety of job prospects provided by Amazon Web Services (AWS). An IT expert who builds, manages, and develops an AWS cloud infrastructure for running applications is known as an AWS engineer. What Does an AWS Engineer Do?

AWS 52

AWS Amazon Web Services Cloud Computing Programming Language 52

Snowflake

JULY 10, 2023

Announced at Summit, we’ve recently added to Snowpark the ability to process files programmatically, with Python in public preview and Java generally available. Using Snowpark runtimes and libraries, you can securely deploy and process Python, Java and Scala code to build pipelines, ML models, and applications in Snowflake.

Unstructured Data 40

Unstructured Data Python Process Scala 40

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

Snowflake

AUGUST 16, 2023

The Snowflake Native App Framework remains available in private preview on Google Cloud Platform and Azure. Automated fulfillment of data across regions and clouds – general availability Listing providers in Snowflake can now ensure their consumers always have fresh, up-to-date data irrespective of their region or cloud.

Scala 52

Scala Transportation Kafka Data Lake 52

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

Monte Carlo

JUNE 30, 2021

Monte Carlo , the data reliability company, today announced their integration with Snowpark, the new developer experience for Snowflake, the Data Cloud company. We are thrilled to partner with Monte Carlo on our vision for data programmability and developer productivity in the Data Cloud.” Interested?

Scala 40

Scala Java Cloud Structured Data 40

Snowflake

MAY 1, 2023

The Data Science Training is a three-day, instructor-led course for developing the skills and experience necessary to utilize the Snowflake Data Cloud for data science workloads. This course covers key concepts, features, considerations, and best practices for building out data science solutions within Snowflake.

Certification 52

Certification Data Science Scala Education 52

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

Snowflake

JUNE 27, 2023

When we first launched Snowpark in 2020, Snowflake introduced a secure way to deploy and process Python, Java, and Scala code in Snowflake through a set of libraries and runtimes including User Defined Functions (UDFs) and Stored Procedures. Astronomer.

Scala 60

Scala Programming Language Data Science Python 60

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. Apache Hadoop Introduction to Google Cloud Dataproc Hadoop allows for distributed processing of large datasets. Rely on the real information to guide you.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

NOVEMBER 18, 2018

Contact Info LinkedIn @fhueske on Twitter fhueske on GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Process 100

Process Scala Google Cloud Kafka 100