Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

OCTOBER 25, 2023

Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data.

Unstructured Data 120

Unstructured Data Metadata Management Analytics 120

CIO Business Intelligence

AUGUST 18, 2022

The result is an emerging paradigm shift in how enterprises surface insights, one that sees them leaning on a new category of technology architected to help organizations maximize the value of their data. Enter the data lakehouse. That’s how we got here.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

CDW Research Hub

APRIL 28, 2020

Automate data loads with job scheduling so that your data is always there when you need it. Quickly access data for business intelligence, reporting and visualization, or access next-generation analytics platforms like ThoughtSpot. Use Matillion’s universal REST API to connect to any AP-enabled application.

Data-driven 52

Data-driven Analytics Consulting ROI 52

AWS Big Data

JULY 28, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. It is designed for analyzing large volumes of data and performing complex queries on structured and semi-structured data. Note that putting a comprehensive data strategy in place is not in scope for this post.

Snapshot 84

Snapshot Metadata Measurement Data Warehouse 84

Alation

OCTOBER 21, 2021

A data lakehouse combines the benefits of a data lake, including scale, efficiency, and flexibility, with the benefits of a data warehouse, which include ideal support for structured data. Alation & Your Data. This enables the best of both worlds, but does so using a modern, open architecture.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Cloudera

JULY 26, 2021

A common pitfall in the development of data platforms is that they are built around the boundaries of point solutions and are constrained by the technological limitations (e.g., a technology choice such as Spark Streaming is overly focused on throughput at the expense of latency) or data formats (e.g., Conclusion.

Strategy 119

Strategy Data Science Marketing Unstructured Data 119

Cloudera

NOVEMBER 25, 2020

A discovery data warehouse is a modern data warehouse that easily allows for augmentation of existing reports and structured data with new unstructured data types, and that can flexibly scale with volume and compute needs. Stay tuned for the next blog post that will dive deeper into this topic!

Data Warehouse 60

Data Warehouse Unstructured Data Analytics Visualization 60

Sisense

MAY 11, 2021

In this article, we’ll dig into what data modeling is, provide some best practices for setting up your data model, and walk through a handy way of thinking about data modeling that you can use when building your own. Building the right data model is an important part of your data strategy. Discover why.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

JUNE 21, 2023

A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis. A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. Choose Amazon DynamoDB as the data source.

Data Warehouse 81

Data Warehouse Data Lake OLAP Cost-Benefit 81