Data Science Dojo

JULY 6, 2023

These tools provide data engineers with the necessary capabilities to efficiently extract, transform, and load (ETL) data, build data pipelines, and prepare data for analysis and consumption by other applications. Apache Hadoop: Apache Hadoop is an open-source framework for distributed storage and processing of large datasets.

Data Engineering 195

Data Engineering Data Engineer Data Engineering Data Engineering 195

Smart Data Collective

MAY 20, 2019

For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata. Basic Business Intelligence Experience is a Must. Communication happens to be a critical soft skill of business intelligence.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

IBM Journey to AI blog

JANUARY 18, 2023

Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. This adds an additional ETL step, making the data even more stale. Data platform architecture has an interesting history. It was Datawarehouse.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52