Knowledge Hut

JUNE 30, 2023

With helpful illustrations and thorough explanations, it assists readers in comprehending how to use Spark for big data processing and analytics applications. Deep Dive into SQL Discover SQL syntax, query optimization techniques, and database design fundamentals.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 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

ProjectPro

MARCH 15, 2016

Using Hadoop on such scale of data helps in easy and quick data representation, database design, clinical decision analytics, data querying and fault tolerance. Hadoop as a database system allows the storage of unstructured healthcare data in its native form. The solution to this problem is straightforward.

Hadoop 40

Hadoop Retail Healthcare Banking 40

Rockset

APRIL 15, 2022

In other words, a mutable real-time analytics database designed like Rockset provides high raw data ingestion speeds, the native ability to update and backfill records with out-of-order data, all without creating additional cost, data error risk, or work for developers and data engineers.

Analytics Application 52

Analytics Application Data Warehouse Kafka Database 52