Smart Data Collective

SEPTEMBER 26, 2019

In this article, we are going to look at how software development can leverage on Big Data. We will also briefly have a sneak preview of the connection between AI and Big Data. Software development simply refers to a set of computer science-related activities purely dedicated to building, designing, and deploying software.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

Ontotext

OCTOBER 12, 2023

“[LLMs] call into question a fundamental tenet of Data Management: that in order to address non-trivial information needs, the first step is to explicitly structure data in order to lift them from the ambiguous swamp of our human language. Thankfully, lt-innovate.org already did a concise wrap-up.

Modeling 75

Modeling Recreation/Entertainment Data Processing Metadata 75

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

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. In this approach, teams responsible for generating data are referred to as producers.

Data-driven 117

Data-driven Advertising Metadata Data Architecture 117

AWS Big Data

MARCH 13, 2024

Refer to the instructions in the README file for steps on how to provision and decommission this solution. Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted.

Analytics 122

Analytics IoT Metadata Internet of Things 122

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. Knowledge graphs will continue to be essential for AI in the era of ChatGPT and LLM.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Ontotext

MAY 18, 2020

Exascale computing refers to systems capable of at least one exaFLOPS calculation per second and that is billion billion (or if you wish a quintillion) operations per second. Behind the scenes of linking histopathology data and building a knowledge graph out of it. This is where the so-called exascale computing enters the stage.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

AWS Big Data

MARCH 26, 2024

It is prudent to consolidate this data into a single customer view, serving as a primary reference for downstream applications, ranging from ecommerce platforms to CRM systems. This consolidated view acts as a liaison between the data platform and customer-centric applications.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

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. Select s3_crawler and choose Run.

Sales 52

Sales Data Warehouse Visualization Testing 52

Ontotext

NOVEMBER 2, 2023

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. While relational databases are the best fit for managing structured data workloads, they are not good for ad hoc inquiry and scenario-based analysis.

IT 69

IT Cost-Benefit Data-driven Technology 69

Alation

OCTOBER 28, 2021

Protect data at the source. Put data into action to optimize the patient experience and adapt to changing business models. What is Data Governance in Healthcare? Data governance in healthcare refers to how data is collected and used by hospitals, pharmaceutical companies, and other healthcare organizations and service providers.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

AWS Big Data

FEBRUARY 21, 2023

Toucan natively integrates with Redshift Serverless, which enables you to deploy a scalable data stack in minutes without the need to manage any infrastructure component. Amazon Redshift is a fully managed cloud data warehouse service that enables you to analyze large amounts of structured and semi-structured data.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

AWS Big Data

APRIL 10, 2025

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. To create a TTI, refer to How to add a trusted token issuer to the IAM Identity Center console. redshift.amazonaws.com.

Data Warehouse 100

Data Warehouse Management Analytics Big Data 100

AWS Big Data

FEBRUARY 25, 2025

Amazon EC2 to host and run a Jenkins build server. Solution walkthrough The solution architecture is shown in the preceding figure and includes: Continuous integration and delivery ( CI/CD) for data processing Data engineers can define the underlying data processing job within a JSON template.

Data Processing 56

Data Processing Machine Learning Data-driven Cost-Benefit 56

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 92

Data Lake Machine Learning Data Architecture Data-driven 92