Resource Library
Eckerson Data Pipeline White Paper
Data-driven organizations need a modern data pipeline to ensure business users of all stripes have the
right data at the right time to make decisions and take expedient actions. This report
provides an overview of the modern data pipeline and how to implement it.
Collaborative Analytics
Collaborative analytics increases knowledge around data, facilitates greater trust, brings new ideas on how to use the analytics, and generally produces faster insights with greater detail and accuracy.
Data Preparation
Both data preparation and feature engineering are the most time-consuming and important processes in data mining.
Datameer Spotlight and Alteryx
Spotlight has AI-augmented “prep” features to sharpen up data for an analysis – blends, filters, simple modeling, and even JSON transformations.
Datameer Spotlight and Data Catalogs
Datameer Spotlight is highly complementary to and interoperable with enterprise data catalogs.
Data Profiling
Businesses perform data profiling to better understand the condition and the value of their data, making it discoverable and actionable along the way.
Data Mining
Data mining provides several techniques that can help organizations classify this data and try to find patterns or relationships between pieces of data.
Data Virtualization
In the age of agility, businesses need a data management solution that can keep pace with rapid growth, enabling them to make sense of their data quickly and logically.
Data Catalogs
Enterprise data management is impossible if you can’t manage, access, and process large amounts of data.
AWS Datameer Customer Case Study – PrivacyMaxx
AWS Datameer Customer Case Study – PrivacyMaxx
AWS Datameer Customer Case Study – AI Consumer Debt
AWS Datameer Customer Case Study – AI Consumer Debt
Spectrum and Microsoft Data Sheet
Datasheet Spectrum for Microsoft Azure and PowerBI
TDWI Cloud Data Management Best Practices
As if managing data of increasing size weren’t hard enough, organizations are now challenged to monitor business processes, assemble complete views of customers, and weave a cohesive analysis of corporate performance based on hybrid data that is strewn across the traditional enterprise and multiple clouds.
Measuring the ROI of Datameer Spotlight
Business, revenue and cost benefits from faster insights and collaborative analytics.
Agile Approach to Cloud Analytics
Organizations are adopting cloud analytics in a variety of different ways, including public cloud, private cloud, multi-cloud, and hybrid cloud. And that adoption is taking place across a variety of use cases and in many industries. Managing data for cloud analytics continues to have its challenges. Ad-hoc Analytics powers faster delivery in the cloud.
An Essential Guide to Cloud Migration
As if managing data of increasing size weren’t hard enough, organizations are now challenged to monitor business processes, assemble complete views of customers, and weave a cohesive analysis of corporate performance based on hybrid data that is strewn across the traditional enterprise and multiple clouds.
AWS Datameer Customer Case Study – Retailer
AWS Datameer Customer Case Study – Retailer
AWS Datameer Customer Case Study – Investment Bank
AWS Datameer Customer Case Study – Investment Bank
Agile Data Pipelines for Cloud Machine Learning
Agile Data Pipelines for Cloud Machine Learning solution brief
Agile Data Pipelines for Cloud Data Warehouses
Agile Data Pipelines for Cloud Data Warehouses Solution Brief
A Primer on Analytics Collaboration
Data collaboration is a complex, still-evolving category that, while serving a real need in an organization, has not yet reached maturity or gained critical mindshare in the industry.