Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. The Data Catalog objects are listed under the awsdatacatalog database. FHIR data stored in AWS HealthLake is highly nested.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These query patterns and concurrency were unpredictable in nature.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

Ontotext

MAY 30, 2019

It won’t protect you from issues of data quality or from service failures. […] But Linked Data does provide you with new ways to manage these existing data-management challenges. 6 Linked Data, Structured Data on the Web. Linked Data and Security.

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

Ontotext

MAY 30, 2019

It won’t protect you from issues of data quality or from service failures. […] But Linked Data does provide you with new ways to manage these existing data-management challenges. 6 Linked Data, Structured Data on the Web. Linked Data and Security.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. We also discuss the benefits Ruparupa gained after the implementation. Let’s look at each main component in more detail.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Sisense

JULY 22, 2020

Traditionally all this data was stored on-premises, in servers, using databases that many of us will be familiar with, such as SAP, Microsoft Excel , Oracle , Microsoft SQL Server , IBM DB2 , PostgreSQL , MySQL , Teradata. However, cloud computing has grown rapidly because it offers more flexible, agile, and cost-effective storage solutions.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Cloudera

SEPTEMBER 6, 2018

The solution combines Cloudera Enterprise , the scalable distributed platform for big data, machine learning, and analytics, with riskCanvas , the financial crime software suite from Booz Allen Hamilton. It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data.

Machine Learning 40

Machine Learning Risk Big Data Unstructured Data 40

Jet Global

FEBRUARY 6, 2024

You’ll have access to all the features you know and love, plus the added benefits of the integrated environment. This change is about more than just technology; it’s about optimizing your experience and empowering you to make data-driven decisions with greater ease and efficiency.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

Ontotext

APRIL 25, 2019

The SPARQL query is a way to search, access and retrieve structured data by pulling together information from diverse data sources. The SPARQL query language, designed and endorsed by the W3C, is the standard for querying data, stored in RDF or mapped to RDF.

Cost-Benefit 75

Cost-Benefit Enterprise Structured Data Data Architecture 75

Ontotext

APRIL 25, 2019

The SPARQL query is a way to search, access and retrieve structured data by pulling together information from diverse data sources. The SPARQL query language, designed and endorsed by the W3C, is the standard for querying data, stored in RDF or mapped to RDF.

Cost-Benefit 40

Cost-Benefit Enterprise Structured Data Data Architecture 40

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction. A Client Example.

Metadata 121

Metadata Cost-Benefit Enterprise Interactive 121