CIO Business Intelligence

FEBRUARY 3, 2023

Using RPA tools, a company can configure software, or a “robot,” to capture and interpret applications for processing a transaction, manipulating data, triggering responses, and communicating with other digital systems. These systems can manage the various APIs and services while also helping the data flow with extra bots.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

Smart Data Collective

APRIL 20, 2023

Companies are spending nearly $30 billion a year on big data for marketing initiatives. One of the many reasons that they are using big data is to create better content marketing strategies. Despite the many benefits of big data for content marketing, many businesses still don’t know how to utilize it effectively.

Marketing 78

Marketing Strategy Big Data ROI 78

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse.

Data Lake 79

Data Lake Data Warehouse Sales Data-driven 79

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. Figure 4: Visualization of a central composite design. The data showed us that metrics are not exactly straight-line functions of parameters.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

MARCH 22, 2023

Choose Test Connection. After the test connection is successfully complete, set Provisioning Status to On. With this event-driven approach to provision users and groups in QuickSight, system administrators can have full flexibility in where the various different ways of user management could be expected depending on the organization.

Management 96

Management Metadata Enterprise Testing 96

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Cloudera

DECEMBER 12, 2018

After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks. Greg Rahn: Sure.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42