Cloudera

OCTOBER 11, 2022

The takeaway – businesses need control over all their data in order to achieve AI at scale and digital business transformation. The challenge for AI is how to do data in all its complexity – volume, variety, velocity. But it isn’t just aggregating data for models. Data needs to be prepared and analyzed.

Data Science 92

Data Science Aggregated Data Data Consulting 92

Databand.ai

JULY 10, 2023

Data analysis: Processing and studying the collected data to recognize patterns, trends, and irregularities that can aid in diagnosing issues or boosting performance. These platforms offer an all-in-one solution that combines data collection, analysis, visualization, and incident management.

Data Pipeline 52

Data Pipeline Algorithm Raw Data Aggregated Data 52

DareData

JULY 5, 2023

In this blog post, we aim to share practical insights and techniques based on our real-world experience in developing data lake infrastructures for our clients - let's start! Users: Who are users that will interact with your data and what's their technical proficiency? Data Sources: How different are your data sources?

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Rockset

OCTOBER 26, 2022

One was to create another data pipeline that would aggregate data as it was ingested into DynamoDB. After finding Rockset through an AWS blog on creating leaderboards , we wasted no time in starting to build a new customer-facing leaderboard based on Rockset. Both would have required a lot of work.

SQL 52

SQL NoSQL Database Aggregated Data 52

Cloudera

NOVEMBER 9, 2018

These digital tools will allow them to: Effectively aggregate data from various systems and organizations to support multi-functional analytic applications. Cost-effectively ingest, store and utilize data from all IoT devices. Enable comprehensive data security, compliance, and governance for all of the data collected.

Machine Learning 56

Machine Learning Banking Government Media 56

Rockset

DECEMBER 17, 2020

Together, they empower developers to build performant internal tools, such as customer 360 and logistics monitoring apps, by solely using data APIs and pre-built UI components. In this blog, we’ll be building a customer 360 app using Rockset and Retool. From there, we’ll create a data API for the SQL query we write in Rockset.

Building 40

Building Aggregated Data SQL Data Ingestion 40

DoorDash Engineering

OCTOBER 17, 2023

They subsequently adjust the experiment’s start date so that it does not include metric data collected prior to the bug fix. Supported internally at DoorDash, Flink is used by many teams to run their processing jobs on streaming data. We use Flink’s built-in time-window-based aggregation functions on exposure time.

Education 87

Education Kafka Algorithm Data Warehouse 87