Cloudera

NOVEMBER 15, 2021

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. months since 2012.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

AWS Big Data

MARCH 13, 2024

This method uses GZIP compression to optimize storage consumption and query performance. You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. The following code is the input paths map: { EventType: $.detail.EventType

Analytics 95

Analytics IoT Metadata Internet of Things 95

IBM Big Data Hub

JULY 19, 2023

The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. Why IBM Consulting for generative AI on AWS?

Consulting 59

Consulting Machine Learning Manufacturing Optimization 59

AWS Big Data

JUNE 6, 2023

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. AWS Glue gave us a cost-efficient option to migrate the data and we further optimized storage cost by pruning cold data.

Analytics 55

Analytics Data Lake Testing Optimization 55

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse. enableHiveSupport().getOrCreate()

Data Lake 78

Data Lake Data Warehouse Sales Data-driven 78

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. Through the lenses of the tool, Acast was able to address better monitoring, cost optimization , performance, and security.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

Domino Data Lab

MARCH 3, 2019

There are essentially four types encountered: image/video, audio, text, and structured data. The next three challenges listed—lack of data, talent crunch, and compliance issues—are known to be problems even for the early adopters of ML, i.e., the more mature practices.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49