AltexSoft

OCTOBER 30, 2021

Data engineers are programmers first and data specialists next, so they use their coding skills to develop, integrate, and manage tools supporting the data infrastructure: data warehouse, databases, ETL tools, and analytical systems. Providing data access tools. Programming.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

ProjectPro

JANUARY 19, 2022

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Relational and non-relational databases are among the most common data storage methods. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Edureka

FEBRUARY 9, 2023

Data engineers must be well-versed in programming languages such as Python, Java, and Scala. The most common data storage methods are relational and non-relational databases. Data is moved from databases and other systems into a single hub, such as a data warehouse, using ETL (extract, transform, and load) techniques.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Silectis

MARCH 9, 2021

This has been driven by the relatively recent emergence of “data engineering” as an organized discipline, the fact that data engineering is sometimes perceived as unglamorous relative to its cousin, data science, and the high hurdle for new entrants trying to become productive. – Demetri Kotsikopoulos , CEO of Silectis 3.

Data Engineering 52

Data Engineering Data Engineer Engineering ETL Tools 52

Snowflake

MARCH 30, 2023

Based on Tecton blog So is this similar to data engineering pipelines into a data lake/warehouse? Supporting streaming ingestion Now that we know how to get data into Snowflake, let’s turn our attention to feature engineering options within Snowflake. Yes, feature stores are part of the MLOps discipline.

Engineering 82

Engineering Raw Data Data Science Scala 82

ProjectPro

JULY 27, 2021

Data engineers use the organizational data blueprint to collect, maintain and prepare the required data. Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Cloudera

JUNE 16, 2022

Laila wants to use CSP but doesn’t have time to brush up on her Java or learn Scala, but she knows SQL really well. . SSB provides a comprehensive interactive user interface for developers, data analysts, and data scientists to write streaming applications with industry standard SQL. Without context, streaming data is useless.”

Kafka 84

Kafka Manufacturing Data Lake SQL 84

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64