Sisense

DECEMBER 23, 2019

However, half-measures just won’t cut it when it comes to handling huge datasets. Data is growing at a phenomenal rate and that’s not going to stop anytime soon. AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

AWS Big Data

APRIL 4, 2024

With a powerful set of solutions, Aura enables complete digital transformation, letting operators promote key services outside the store, directly on-device. Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Big Data 67

Big Data Data Warehouse Advertising OLAP 67

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. Avik Bhattacharjee is a Senior Partner Solutions Architect at AWS.

Data Quality 71

Data Quality Metrics Visualization Dashboards 71

AWS Big Data

NOVEMBER 14, 2023

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

BI-Survey

DECEMBER 22, 2020

The goal is to optimize company data in terms of a common vision in a cooperative and iterative way and thus to accelerate the digital transformation on the basis of data. Architecture and technology play an important role in the transition to a data-driven enterprise. Individuals adapt to the corporate system.

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

Cloudera

JUNE 16, 2022

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. Without context, streaming data is useless.”

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

Sisense

MARCH 24, 2020

Dashboards democratize data and they both promote and enable an effective data-driven culture” Driving business impact by exploring corporate storytelling. When you have masses of data, you need to make it meaningful. They’re the key to effective data storytelling in business. That’s what dashboards do.

Dashboards 90

Dashboards IT Visualization Data Lake 90