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. You’re now ready to query the tables using Athena.

Analytics 90

Analytics IoT Metadata Internet of Things 90

BizAcuity

MARCH 1, 2019

Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. This is where AI-based analysis and response play a critical role in extracting optimal value from the data. IoT produces a treasure trove of big data.

IoT 56

IoT Internet of Things Big Data Data-driven 56

IBM Big Data Hub

JUNE 26, 2023

Facing challenges, Yanfeng Auto’s approach is to work with companies like IBM with advanced technology, industry experience and technical expertise to accelerate its own data-driven digital transformation to reduce cost, improve efficiency and scale for company-wide innovation.

Manufacturing 68

Manufacturing Software Optimization Digital Transformation 68

IBM Big Data Hub

APRIL 24, 2023

Unexpected situations like the COVID-19 pandemic and the ongoing macroeconomic atmosphere are wake-up calls for companies worldwide to exponentially accelerate digital transformation. Benefits of new data warehousing technology Everything is data, regardless of whether it’s structured, semi-structured, or unstructured.

Data Warehouse 101

Data Warehouse Data Lake Cost-Benefit Enterprise 101

Cloudera

JULY 26, 2021

PoS and transaction data to optimize supply chain operations). A growing desire for self-service analytics among internal data consumers and knowledge workers, external partners and clients. a technology choice such as Spark Streaming is overly focused on throughput at the expense of latency) or data formats (e.g.,

Strategy 114

Strategy Marketing Data Science Unstructured Data 114

Timo Elliott

JANUARY 22, 2019

Understanding and optimizing the customer experience is the bedrock of successful digital transformation. Traditional analytics focused on structured data flowing from operational systems. New experience analytics.

Analytics 89

Analytics Machine Learning Unstructured Data Digital Transformation 89

Alation

OCTOBER 28, 2021

Data & analytics represents a major opportunity to tackle these challenges. Indeed, many healthcare organizations today are embracing digital transformation and using data to enhance operations. In other words, they use data to heal more people and save more lives. Uncover intelligence from data.

Data Governance 52

Data Governance Measurement Modeling Metrics 52

Domino Data Lab

MARCH 3, 2019

There are essentially four types encountered: image/video, audio, text, and structured data. However, the laggards have years’ worth of digital transformation, company culture detox, massive staffing hurdles, etc. Translated, there’s a breakaway accelerating between the leaders and the laggards.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

AWS Big Data

APRIL 4, 2024

With a powerful set of solutions, Aura enables complete digital transformation, letting operators promote key services outside the store, directly on-device. Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Big Data 64

Big Data Data Warehouse Advertising OLAP 64

IBM Big Data Hub

AUGUST 15, 2023

Recent AI developments are also helping businesses automate and optimize HR recruiting and professional development, DevOps and cloud management, and biotech research and manufacturing. How will you empower teams to make use of your data? One of the key elements in data democratization is the concept of data as a product.

IT 85

IT Data Governance Modeling Cost-Benefit 85

CIO Business Intelligence

MARCH 6, 2023

We use Snowflake very heavily as our primary data querying engine to cross all of our distributed boundaries because we pull in from structured and non-structured data stores and flat objects that have no structure,” Frazer says. The customer hovered for two seconds and didn’t click that type of data.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 88

Sisense

JULY 23, 2021

We focus on the core games management systems, which generate a lot of key operational data, so we’ve been naturally a lot more inquisitive of those datasets. We are focused on unpicking them, really analyzing them to understand what they tell us about Games optimization.”. The results have been highly valuable.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 85

Data Lake Data Warehouse B2B Data-driven 85