Cloudera

JUNE 2, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? Use cases demand that data no longer be distributed to just a data warehouse or subset of data sources, but to a diverse set of hybrid services across cloud providers and on-prem.

Enterprise 109

Enterprise Data Lake Data Collection Data-driven 109

CIO Business Intelligence

JULY 13, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? Use cases demand that data no longer be distributed to just a data warehouse or subset of data sources, but to a diverse set of hybrid services across cloud providers and on-prem.

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

AWS Big Data

FEBRUARY 20, 2024

The elasticity of Kinesis Data Streams enables you to scale the stream up or down, so you never lose data records before they expire. Analytical data storage The next service in this solution is Amazon Redshift, a fully managed, petabyte-scale data warehouse service in the cloud.

Visualization 111

Visualization Cost-Benefit Optimization B2B 111

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. You also had the launch of smartphones.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

NOVEMBER 13, 2023

11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. 4:30 PM – 5:30 PM (PDT) Wynn ANT207 | Understand your data with business context. 1:00 PM – 2:00 PM (PDT) Venetian ANT201 | Accelerate innovation with real-time data.

Analytics 117

Analytics Data Lake Data Warehouse Data-driven 117

AWS Big Data

NOVEMBER 8, 2023

Delve into tips and best practices essential to navigating the challenges and pitfalls inherent to distributed systems that arise along the way, and observe how AWS services work and interact. Design serverless data processing pipelines and extract valuable insights from real-time data streams. Reserve your seat now!

Data-driven 97

Data-driven Machine Learning Data Lake Cost-Benefit 97

datapine

FEBRUARY 22, 2022

This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? With all this information in hand, you can think about training opportunities such as workshops, seminars, and others.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

JUNE 16, 2022

SSB provides a comprehensive interactive user interface for developers, data analysts, and data scientists to write streaming applications with industry standard SQL. By using SQL, the user can simply declare expressions that filter, aggregate, route, and mutate streams of data. Getting started today.

Data Lake 92

Data Lake Manufacturing Metadata Dashboards 92

AWS Big Data

APRIL 25, 2023

Looking for a tool that would enable us to democratize our data, we chose Amazon QuickSight , a cloud-native, serverless business intelligence (BI) service that powers interactive dashboards that lets us make better data-driven decisions, as a corporate solution for data visualization.

Visualization 52

Visualization IT Data-driven Reporting 52

Smarten

SEPTEMBER 9, 2024

When a Citizen Data Scientist uses these tools, the resulting analysis can be combined with the professional knowledge and specific domain skills of the individual to better understand and gain insight into trends, patterns, issues and opportunities and improve time to market, accuracy of predictions, and metrics and measurements.

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

Andrew White

JANUARY 11, 2021

See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Policy enforcement.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52