Silectis

MARCH 9, 2021

The position requires knowledge of cloud services, analytics databases, ETL tools, big data platforms, DevOps, and the fundamentals of the business, all of which make it tough to know where to start. – Demetri Kotsikopoulos , CEO of Silectis 3. Notebooks will continue to gain traction among data engineers in 2021.

Data Engineering 52

Data Engineering Data Engineer Engineering ETL Tools 52

ProjectPro

NOVEMBER 30, 2021

ETL (Extract, Transform, and Load) Pipeline involves data extraction from multiple sources like transaction databases, APIs, or other business systems, transforming it, and loading it into a cloud-hosted database or a cloud data warehouse for deeper analytics and business intelligence.

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

SEPTEMBER 26, 2021

According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews. ETL Tools: Extract, Transfer, and Load (ETL) pulls data from numerous sources and applies specific rules on the data sets as per the business requirements.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Cloudera

JUNE 16, 2022

In 2020, to address this need, Apache Flink was added to the Cloudera Stream Processing offering. CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. Reduce ingest latency and complexity: Multiple point solutions were needed to move data from different data sources to downstream systems. .”

Kafka 86

Kafka Manufacturing Data Lake SQL 86