Christophe Blefari

FEBRUARY 23, 2024

JVM vs. SQL data engineer — There's a big discussion in the community about what real data engineering is. Is it Java/Scala or Python? Is it DataFrames or SQL? Still, I prefer SQL/Python data engineering, as you know me. They provide tooling to do without writing awful SQL queries.

Data Lake 130

Data Lake PostgreSQL MongoDB Scala 130

Data Engineering Podcast

OCTOBER 2, 2022

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. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP. How do you account for assets (e.g.

IT 100

IT Food PostgreSQL MongoDB 100

Data Engineering Podcast

AUGUST 6, 2022

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. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

SEPTEMBER 9, 2018

What are the benefits of implementing the Elasticsearch API on top of your data in S3 as opposed to using systems such as Presto or Drill to interact with the same information via SQL? What mechanisms do you use to allow for such drastic space savings of indexed data in S3 versus in an Elasticsearch cluster?

IT 100

IT PostgreSQL Scala AWS 100

Knowledge Hut

NOVEMBER 28, 2023

Java Big Data requires you to be proficient in multiple programming languages, and besides Python and Scala, Java is another popular language that you should be proficient in. Kafka, which is written in Scala and Java, helps you scale your performance in today’s data-driven and disruptive enterprises.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

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

Zalando Engineering

JUNE 20, 2016

We’ll also be utilising AWS and RESTful architectural styles that incorporate both backend and frontend technologies. AWS simplifies the deployment of new versions of our services, on top of ensuring scalability and easy maintainability.

Scala 52

Scala PostgreSQL AWS Retail 52