Smart Data Collective

AUGUST 17, 2022

But keep in mind one thing which is you have to either replicate the topics in your cloud cluster or you will have to develop a custom connector to read and copy back and forth from the cloud to the application. A three-step ETL framework job should do the trick. Step 3: Create an ETL job and save that data to a data lake.

Apache Kafka 130

Apache Kafka ETL Data Lakes AWS 130

Smart Data Collective

MAY 20, 2019

The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata. Cloud Computing and Related Mechanics. Big data, advanced analytics, machine learning, none of these technologies would exist without cloud computing and the resulting infrastructure. But it’s not the only skill necessary to thrive.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Data Science Blog

JUNE 21, 2023

Cloud-Based infrastructure with process mining? Depending on the data strategy of one organization, one cost-effective approach to process mining could be to leverage cloud computing resources. But costs won’t decrease only migrating from on-premises to cloud and vice versa.

Big Data 130

Big Data Big Data Data Engineering Data Engineering 130

Alation

JANUARY 17, 2023

Reverse ETL tools. Business intelligence (BI) platforms. The rise of cloud computing and cloud data warehousing has catalyzed the growth of the modern data stack. The rise of cloud computing and cloud data warehousing has catalyzed the growth of the modern data stack.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

IBM Journey to AI blog

JUNE 29, 2023

Advanced analytics and business intelligence tools are utilized to analyze and interpret the data, uncovering insights and trends that drive informed decision-making. Implementing advanced analytics and business intelligence tools can further enhance data analysis and decision-making capabilities.

Analytics 94

Analytics Analytics Business Intelligence Business Intelligence 94

phData

FEBRUARY 21, 2025

In this post, we will be particularly interested in the impact that cloud computing left on the modern data warehouse. A data warehouse enables advanced analytics, reporting, and business intelligence. In the cloud, the physical distance between the data source and the cloud data warehouse region can impact latency.

Data Warehouse 52

Data Warehouse Cloud Data ETL Cloud Computing 52