Cloudera

AUGUST 13, 2021

Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis. What is the impact on the business?

Data Pipeline 111

Data Pipeline Data Lake ETL Tools Unstructured Data 111

Cloudera

JUNE 16, 2022

For governance and security teams, the questions revolve around chain of custody, audit, metadata, access control, and lineage. Moving beyond traditional data-at-rest analytics: next generation stream processing with Apache Flink. Conclusion. As Laila so accurately put it, “without context, streaming data is useless.”

Kafka 88

Kafka Manufacturing Data Lake SQL 88

Grouparoo

NOVEMBER 16, 2021

Loading is the process of warehousing the data in an accessible location. The difference here is that warehoused data is in its raw form, with the transformation only performed on-demand following information access. Finally, where access requires small subsets of the data, this reduces the transformation processing overhead.

Data Mining 52

Data Mining Raw Data ETL Tools Data 52

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Another security measure is an audit log to track access. Kafka vs ETL.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Edureka

JULY 3, 2024

This makes the data ready for consumption by BI tools, analytics applications, or other systems. It integrates with Azure Active Directory (AAD) to let you use your existing user identities and permission structures for granular control over data access within data flows. Is Azure Data Factory an ETL tool?

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

Knowledge Hut

DECEMBER 26, 2023

Given its status as one of the complete all-in-one analytics and BI systems available currently, the platform requires some getting accustomed to. Some key features include business intelligence, enterprise planning, and analytics application. You will also need an ETL tool to transport data between each tier.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Rockset

DECEMBER 9, 2021

Real-time data streams typically power analytical or data applications whereas batch systems were built to power static dashboards. This fantastic piece about the anatomy of analytical applications defined a data app as an end-user facing application that natively includes large-scale, aggregate analysis of data in its functionality.

Transportation 52

Transportation BI SQL Database 52