Rockset

MARCH 24, 2022

This requires a database to automatically ingest and index semi-structured data and generate an underlying schema even as data shape changes. Relational and non-relational databases each have their own unique challenges when it comes to query flexibility. What databases are you using for real-time analytics?

Non-relational Database 52

Non-relational Database Relational Database Database Data Pipeline 52

Cloudera

NOVEMBER 2, 2020

Data processing and analytics drive their entire business. So they needed a data warehouse that could keep up with the scale of modern big data systems , but provide the semantics and query performance of a traditional relational database. They chose to build their RTDW on Cloudera.

Data Warehouse 97

Data Warehouse Kafka Lambda Architecture Telecommunication 97

Knowledge Hut

JULY 26, 2023

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Key-value stores, columnar stores, graph-based databases, and wide-column stores are common classifications for NoSQL databases. Columnar Database (e.g.-

Database 52

Database NoSQL MongoDB Telecommunication 52

Rockset

JULY 6, 2022

Typically stored in SQL statements, the schema also defines all the tables in the database and their relationship to each other. Rockset is a real-time analytics platform built on top of the RocksDB key-value store. Like other NoSQL databases, Rockset is highly scalable, flexible and fast at writing data.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

Cloudera

JUNE 16, 2022

Building real-time data analytics pipelines is a complex problem, and we saw customers struggle using processing frameworks such as Apache Storm, Spark Streaming, and Kafka Streams. . Without context, streaming data is useless.”

Kafka 88

Kafka Manufacturing Data Lake SQL 88

Rockset

FEBRUARY 2, 2022

Let’s explore five ways to run MongoDB analytics, along with the pros and cons of each method. 1 – Query MongoDB Directly The first and most direct approach is to run your analytical queries directly against MongoDB. These databases can serve real-time data applications, unlike the data warehouses we considered previously.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

An object-centric data model is a big deal because it offers the opportunity for a holistic approach and as a database a single source of truth for Process Mining but also for other types of analytical applications. the type material will have different attributes then the type invoice or department ).

Architecture 52

Architecture Database-centric Process BI 52