Diving Deep Into a Data Lake

A Data Lake is used to refer to a massive amount of data stored in a structured, unstructured, semi-structured, or raw form. The purpose is just to consolidate data into one destination and make it usable for data science and analytics algorithms. This data is used for observational, computational, and scientific purposes. The database has made it easier for AI models to gather data from various resources and implement a flawless system that can make informed decisions.

White Label Analytics: What It Is, Why It Matters & 5 Key Benefits

A key consideration when buying an embedded analytics solution is not only whether it supports embedding of charts and reports, but that it can integrate analytics in a way that is indistinguishable from the experience of your application. Learn what white-label BI is.

Cloudera Uses CDP to Reduce IT Cloud Spend by $12 Million

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business. Clouderans continuously push for improvements in the system, with the goal of driving up confidence in the data.

Simplifying PDF Data Extraction with ReportMiner 10.0

IDC estimates that 80% of data generated and collected by organizations is unstructured, i.e., stored in a format that is not easily extractable. PDFs are among the most widely used unstructured file formats for storing and exchanging business information. Despite the extensive usage of PDFs, content stored in them is not machine-readable, hence cannot be easily extracted and organized into rows and tables. So, how can enterprises overcome the problem of PDF data extraction?

The Denver Broncos score a better fan experience with Fivetran

The Denver Broncos are tapping into the #moderndatastack to score a touchdown in fan engagement. With the help of Fivetran, the team efficiently centralizes massive data from CRM, Qualtrics and many other sources into Snowflake — unlocking a 360-degree view of their fans and a winning fan experience.