Remove 2019 Remove Data Quality Remove Optimization Remove Unstructured Data
article thumbnail

The Rise of Unstructured Data

Cloudera

Here we mostly focus on structured vs unstructured data. In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

article thumbnail

Top 10 Analytics Trends for 2019

Timo Elliott

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The DataOps Vendor Landscape, 2021

DataKitchen

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks.

Testing 300
article thumbnail

Why Financial Services Firms are Championing Natural Language Processing

CIO Business Intelligence

Those numbers represent the projected growth of chatbot interactions among banking customers between 2019 to 2023 and the cost savings from 862 hours less of work by support personnel, according to research by Juniper Research. NLP solutions can be used to analyze the mountains of structured and unstructured data within companies.

article thumbnail

Top 10 Analytics And Business Intelligence Buzzwords For 2020

datapine

Nevertheless, predictive analytics has been steadily building itself into a true self-service capability used by business users that want to know what future holds and create more sustainable data-driven decision-making processes throughout business operations, and 2020 will bring more demand and usage of its features. Mobile Analytics.