Data Integration Recreation/Entertainment Unstructured Data 
CIO Business Intelligence
APRIL 25, 2022
After launching industry-specific data lakehouses for the retail, financial services and healthcare sectors over the past three months, Databricks is releasing a solution targeting the media and the entertainment (M&E) sector. Features focus on media and entertainment firms.
Smart Data Collective
SEPTEMBER 26, 2019
Software Development Remains a Driving Force of Big Data. We are living in a data-oriented world where everyone seems obsessed with Big Data. Whether it’s in the banking sector, health, communication, marketing, or entertainment, Big Data has permeated every aspect of our daily lives. Unstructured.
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AWS Big Data
OCTOBER 3, 2023
A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Following are some pros and cons of this method.
AWS Big Data
AUGUST 15, 2023
Some examples include AWS data analytics services such as AWS Glue for data integration, Amazon QuickSight for business intelligence (BI), as well as third-party software and services from AWS Marketplace. We create an S3 bucket to store data that exceeds the Lambda function’s response size limits.
CIO Business Intelligence
JANUARY 29, 2025
Large language models (LLMs) are good at learning from unstructured data. Companies that need to bring data together typically do one-off data integration projects instead. LLMs are optimized for unstructured data, adds Sudhir Hasbe, COO at Neo4j. But a lot of enterprise data is structured, too.
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