AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It served many enterprise use cases across API feeds, content mastering, and analytics interfaces.

Data Warehouse 88

Data Warehouse Data Lake Cost-Benefit Structured Data 88

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

SEPTEMBER 12, 2024

We use leading-edge analytics, data, and science to help clients make intelligent decisions. We developed and host several applications for our customers on Amazon Web Services (AWS). For our search requirements, We have used OpenSearch Service , an open source, distributed search and analytics suite.

Unstructured Data 99

Unstructured Data Metadata Machine Learning Consulting 99

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. host') export PASSWORD=$(aws secretsmanager get-secret-value --secret-id $secret_name --query SecretString --output text | jq -r '.password')

Big Data 80

Big Data Data Processing Interactive Testing 80

Alation

JULY 13, 2021

We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. Accompanying this acceleration is the increasing complexity of data. Complex data management is on the rise.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

AWS Big Data

NOVEMBER 22, 2023

Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams. The queries on these large datasets read vast amounts of data and can perform complex join operations on multiple datasets.

Statistics 102

Statistics Data Lake Optimization Data-driven 102

Smart Data Collective

SEPTEMBER 26, 2019

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. Unstructured data lacks a specific format or structure.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

CIO Business Intelligence

JUNE 14, 2023

This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. First and foremost, you need to focus on the scalability of analytics capabilities, while also considering the economics, security, and governance implications. Consider data types.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Ontotext

MAY 25, 2023

This message resonates with the market positioning of Ontotext as a trusted, stable option for demanding data-centric use cases. During the conference, the organizers hosted a separate track called the Healthcare and Life Sciences Symposium. Its remarkable capabilities shine even brighter when delivered jointly with partners.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Ontotext

SEPTEMBER 15, 2020

Connecting the data in a graph allows concepts and entities to complement each other’s description. Given a critical mass of domain knowledge and good level of connectivity, KG can serve as context that helps computers comprehend and manipulate data. Augment your data via reasoning, analytics and text analysis.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 72

Data Strategy Strategy Data Warehouse Prescriptive Analytics 72

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. Acast used the Well-Architected Framework for the central account to improve its practice running analytical workloads in the cloud.

Data-driven 89

Data-driven Advertising Metadata Data Architecture 89

Ontotext

MAY 18, 2020

The ExaMode project: driven by data, developed for patients. ExaMode, an acronym for Extreme-scale Analytics via Multimodal Ontology Discovery & Enhancement, is a project funded by the European Union, H2020 programme. Behind the scenes of linking histopathology data and building a knowledge graph out of it.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. The Replication Manager service facilitates both disaster recovery and data migration across different environments.

Data Lake 73

Data Lake Metadata Unstructured Data Management 73

Cloudera

OCTOBER 17, 2023

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. Use cases such as fraud monitoring, real-time supply chain insight, IoT-enabled fleet operations, real-time customer intent, and modernizing analytics pipelines are driving development activity. Kafka can’t do it all.

Data-driven 79

Data-driven Enterprise IoT Data Warehouse 79

Ontotext

DECEMBER 6, 2024

Out of the box RAG struggles to connect dots, for questions that require traversing disparate chunks of data. RAG is less effective for structured data and performs poorly when there is a need to understand semantic concepts and relationships across documents or chunks. What are the benefits of the latest GraphDB 10.8?

Modeling 59

Modeling Cost-Benefit Experimentation Optimization 59

Ontotext

NOVEMBER 2, 2023

This is the future of modern data and analytics and a critical enabler to getting more value and insight out of your data. In spite of all the activity, the data paradigm hasn’t evolved much. Organizations are still managing data using relational technology invented in the 1970’s.

IT 69

IT Cost-Benefit Data-driven Technology 69

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Deepti Venuturumilli is a Sr.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

DECEMBER 19, 2024

Amazon DataZone , a data management service, helps you catalog, discover, share, and govern data stored across AWS, on-premises systems, and third-party sources. Delete the S3 bucket that hosted the unstructured asset. About the Authors Somdeb Bhattacharjee is a Senior Solutions Architect specializing on data and analytics.

Publishing 67

Publishing Unstructured Data Metadata Data-driven 67

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. Multiple data structures: different departments use distinct technologies and data structures.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

AWS Big Data

FEBRUARY 21, 2023

Business intelligence (BI) with dashboards, reports, and analytics remains one of the most popular use cases for data and analytics. To realize more value from your data, you should focus on building data visualizations that tell stories, and are easily understandable by your audience.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

AWS Big Data

OCTOBER 30, 2024

In our use case, we use Redshift Query Editor to create data marts using SQL code. We also use Redshift Spectrum, which allows you to efficiently query and retrieve structured and semi-structured data from files stored on Amazon S3 without having to load the data into the Redshift tables.

Data Lake 66

Data Lake Machine Learning Data Architecture Data-driven 66