Knowledge Hut

JULY 26, 2023

Database applications also help in data-driven decision-making by providing data analysis and reporting tools. In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. What are Database Applications? Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

Cloudera

FEBRUARY 8, 2024

Overview This blog post describes support for materialized views for the Iceberg table format. Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. The snapshotId of the source tables involved in the materialized view are also maintained in the metadata.

Metadata 88

Metadata Data Warehouse BI AWS 88

Cloudera

DECEMBER 7, 2017

That data may be hard to discover for other users and other applications. Worse, the metadata and context associated with that data may be lost forever if a transient cluster is shut down and the resources released. A way to leverage the benefits of cloud for multi-disciplinary analytics, without all of those problems.

Building 40

Building Management Government BI 40

AltexSoft

OCTOBER 21, 2022

A subscriber is a receiving program such as an end-user app or business intelligence tool. The tool takes care of storing metadata about partitions and brokers. Hadoop fits heavy, not time-critical analytics applications that generate insights for long-term planning and strategic decisions. ZooKeeper issue.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. NameNode is often given a large space to contain metadata for large-scale files. And storing these metadata in RAM will become problematic.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Cloudera

JUNE 16, 2022

This blog aims to answer two questions as illustrated in the diagram below: How have stream processing requirements and use cases evolved as more organizations shift to “streaming first” architectures and attempt to build streaming analytics pipelines? Meet Laila, a very opinionated practitioner of Cloudera Stream Processing.

Kafka 84

Kafka Manufacturing Data Lake SQL 84

phData: Data Engineering

JULY 18, 2023

CDWs are designed for running large and complex queries across vast amounts of data, making them ideal for centralizing an organization’s analytical data for the purpose of business intelligence and data analytics applications. It should also enable easy sharing of insights across the organization.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52