AWS Big Data

APRIL 5, 2023

Showpad migrated over 70 dashboards with over 1,000 visuals. This required Showpad to accelerate its data maturity as a company by mindfully using data and technology holistically to help its customers. In this post, we share how Showpad used QuickSight to streamline data and insights access across teams and customers.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

datapine

APRIL 15, 2020

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. The term “agile” was originally conceived in 2011 as a software development methodology.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

AWS Big Data

MAY 4, 2023

Dataset Variables Disk Size Xarray Dataset Size Region ERA5 2011–2020 (120 netcdf files) 53.5GB 364.1 ERA5 ( historic_temp_regridded ) us-east-1 1512 711 427 202 Difference ( propogated pool ) us-west-2 and us-east-1 1527 906 469 251 The following graph visualizes the performance and scale.

Data Processing 96

Data Processing Metadata Informatics Interactive 96

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. It is the epitome of modern technology right now with multi-dimensional innovations shaping every layer. Cloud technology has been around since the mid-2000s. Cloud technology is a fascinating subject. [You billion by 2025.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

JANUARY 6, 2019

Sharply increasing importance of skills such as technology design and programming highlights the growing demand for various forms of technology competency identified by employers surveyed for this report. Data visualization for prediction accuracy ( credit: R2D3 ). Downey (2011). Python Data Science Handbook. Think Stats.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

MARCH 3, 2019

Timing could hardly have been better, given how mainstream businesses have been embracing these three areas of technology in droves. What about their use cases, preferred technologies, anticipated budgets, hurdles to adoption, etc. Technologies. To design these surveys, we segmented the data using a few different dimensions.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

APRIL 3, 2019

For definitions, let’s start with a standard textbook/encyclopedia definition: “Data governance encompasses the people, processes, and information technology required to create a consistent and proper handling of an organization’s data across the business enterprise. ”. Some of the finer points seem amorphous at best.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

IBM Big Data Hub

OCTOBER 12, 2023

For example, Apple made Siri a feature of its iOS in 2011. Additional capabilities and practical applications of AI technologies Computer vision Narrow AI applications with computer vision can be trained to interpret and analyze the visual world. To date, Emotion AI is unable to understand and respond to human feelings.

Machine Learning 70

Machine Learning Deep Learning Interactive Modeling 70

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. 7] Harvard Business Review, Category Creation Is the Ultimate Growth Strategy, Eddie Yoon, September 26, 2011.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52