U-Next

JUNE 27, 2023

While working with more complex data, Excel allows users to adjust the fields and functions that perform computations. Excel has a variety of new tools, like the Pivot tables, that help improve analytical applications. It helps aggregate data by any field (column) and do complex computations on it.

Utilities 52

Utilities Data Analysis Raw Data Aggregated Data 52

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. The benefit of these tools is that they’re built specifically for data analytics.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

Rockset

OCTOBER 4, 2022

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps. ClickHouse has several storage engines that can pre-aggregate data.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Rockset

FEBRUARY 25, 2021

Joins are often used in real-time analytics applications to combine streaming data (usually representing events) with static data (like customer information). With Elasticsearch, joins are not a first class citizen and many teams end up denormalizing their data to model relationships.

SQL 40

SQL Data Pipeline Kafka Database 40

AltexSoft

OCTOBER 21, 2022

This enables systems using Kafka to aggregate data from many sources and to make it consistent. Instead of interfering with each other, Kafka consumers create groups and split data among themselves. Hadoop fits heavy, not time-critical analytics applications that generate insights for long-term planning and strategic decisions.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Cloudera

NOVEMBER 9, 2018

Since data fuels the growth of smart cities, it is crucial for governments to invest in data management and data security platforms, advanced analytics, and machine learning. Cost-effectively ingest, store and utilize data from all IoT devices.

Banking 56

Banking Machine Learning Government Media 56

Rockset

APRIL 15, 2022

Rockset not only continuously ingests data, but also can “rollup” the data as it is being generated. By using SQL to aggregate data as it is being ingested, this greatly reduces the amount of data stored (5-150x) as well as the amount of compute needed queries (boosting performance 30-100x).

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52