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

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. That’s where our friends at Ascend.io

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. That’s where our friends at Ascend.io

MongoDB 100

MongoDB Scala MySQL Google Cloud 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

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

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. That’s where our friends at Ascend.io

Engineering 100

Engineering MongoDB Scala MySQL 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. Proficiency in programming languages, including Python, Java, C++, LISP, Scala, etc.

Engineering 52

Engineering NoSQL Programming Language Deep Learning 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

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

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

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 117

Amazon Web Services AWS Government Python 117

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.

Data Engineering 126

Data Engineering Data Engineer Engineering Pipeline-centric 126

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. That’s where our friends at Ascend.io

Data Integration 100

Data Integration MongoDB Scala MySQL 100

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

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

Knowledge Hut

DECEMBER 26, 2023

Some of the best books that will guide you in Scala are:- Scala Cookbook: Recipes for Object-Oriented and Functional Programming (Author: Alvin Alexander) Scala for the Impatient (Author: Cay S. Horstmann) Programming Scala: Scalability = Functional Programming + Objects (Author: Alex Payne and Dean Wampler) 2.

Data Science 52

Data Science Scala Programming Language R (Programming) 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. The Microsoft Azure Developer Associate Certificate includes cloud services for business organizational challenges.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 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. That’s where our friends at Ascend.io

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

ProjectPro

FEBRUARY 21, 2023

AWS or Azure? For instance, earning an AWS data engineering professional certificate can teach you efficient ways to use AWS resources within the data engineering lifecycle, significantly lowering resource wastage and increasing efficiency. Cloudera or Databricks? The exam is available in English, Japanese, Korean, and Chinese.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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. That’s where our friends at Ascend.io

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

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. This can be easier when you are using existing cloud services.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

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

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. That’s where our friends at Ascend.io

Data Security 100

Data Security Metadata MongoDB Scala 100

Data Engineering Podcast

SEPTEMBER 9, 2018

Skafos maximizes interoperability with your existing tools and platforms, and offers real-time insights and the ability to be up and running with cloud-based production scale infrastructure instantaneously. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

IT 100

IT PostgreSQL Scala AWS 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

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. That’s where our friends at Ascend.io

Machine Learning 100

Machine Learning Pipeline-centric Database-centric MongoDB 100

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. That’s where our friends at Ascend.io

MongoDB 100

MongoDB Scala MySQL Data Ingestion 100

Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Cloud Computing : Knowledge of cloud platforms like AWS, Azure, or Google Cloud is essential as these are used by many organizations to deploy their big data solutions.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

SEPTEMBER 26, 2023

Data engineers work on the data to organize and make it usable with the aid of cloud services. We should also be familiar with programming languages like Python, SQL, and Scala as well as big data technologies like HDFS , Spark, and Hive. I had learnt about cloud essentials in Cloud training courses.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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 includes understanding the AWS data analysis services and how they interact with one another.

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

Edureka

MAY 6, 2024

Step 1) Learn Programming Language Start by choosing a programming language you’re comfortable with, such as Python, Java, Scala, or Ruby. Step 4) Model Deployment Study how to deploy machine learning models on cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52