Explore how Data as a Service (DaaS) transforms business operations with scalable, flexible, cost-efficient data solutions. Learn about benefits, use cases, integration and future trends.
Discover how the Dataplatr and Snowflake partnership revolutionizes data analytics and cloud data warehousing, offering seamless integration, scalability, and advanced AI capabilities.
Get hands-on help from your dedicated Research Coach. Our 1:1 Mentoring Services offer personalised guidance to excel in every stage of your research journey.
Loren Frank’s HHMI lab at UCSF has pioneered an ambitious framework for sharing vast neuroscience datasets and complicated analysis methods, a step towards
There are several strong reasons to choose ExcelR for your Data Science course in Nagpur. First off, have the advantage of knowledgeable guidance while you pick the brains of business titans. Our curriculum is carefully planned to cover everything from basic to advanced subjects, guaranteeing a thorough education. Take part in practical projects that allow you to easily apply your theoretical knowledge to actual situations. ExcelR gives you the ability to become proficient with state-of-the-art tools like R, Python, and more, so you can stay ahead of the competition. Get individualized career advice designed to help you succeed in the employment market. Additionally, have access to special networking opportunities to make connections with experts and individuals in the field. Our data-driven methodology makes sure you gain actionable insights that have a genuine influence. Join ExcelR on a transformative learning experience where our goal is to help you succeed in the fast-paced area of data science.
At Rigor, we leverage data analytics to help businesses streamline operations and reduce costs. Our data-driven approach ensures that your business will stay ahead of the competition. Our team helps to create decision-making actions that can be applied immediately.
Enhance your business productivity with our online data entry outsourcing services in Canada. Trust our experienced team for accurate and timely results. Get in touch now.
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Data Science is part of the emerging technologies that are sought after by every industry, irrespective of its size and operations. Learn Data Science to analyse the data and create machine learning models for decision making. We at CEDLEARN believe in the project-based Hybrid Learning approach to convert knowledge into skills.
Data research analysis is the process of examining and interpreting data to uncover meaningful patterns, trends, and insights that can inform decision-making and drive business growth.
"Climaveneta provides specialized data center cooling systems using modular chillers optimised for server racks and IT spaces. These data center cooling systems cut operating costs via variable capacity control. These data center chillers also has redundancy configurations available.
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"Climaveneta provides specialized data center cooling systems using modular chillers optimised for server racks and IT spaces. These data center cooling systems cut operating costs via variable capacity control. These data center chillers also has redundancy configurations available.
Get quotes on upgrading your data center cooling equipment today."
Data Empires have quickly emerged as one of the most trusted companies in data recovery, along with different training courses as well. We provide data recovery and repair services of the highest order to individuals and organizations alike. Our company was formed in 2015 and we have never looked back since then with several clients under our belt who are happy with our services and solutions. With dedicated professionals with years of experience, we take care of lost data.
In the age of data-driven decision-making, the role of a data scientist has emerged as one of the most sought-after and lucrative careers in the job market. As businesses across all sectors harness the power of data to drive innovation and gain a competitive edge, the demand for skilled data scientists continues to soar. If you are looking to embark on a rewarding career in data science, then enrolling in a comprehensive data scientist course is the first step towards achieving your goals. And if you are in Chennai, India, you are in luck – because Chennai boasts some of the finest institutes offering top-notch data scientist courses tailored to meet industry demands.
Indigenous groups are developing data storage technology that gives users privacy and control. Could their work influence those fighting back against invasive apps?
Terrastories is a geostorytelling application built to enable indigenous and other local communities to locate and map their oral storytelling traditions.
Digital representations of tangible and intangible cultural assets provide an essential basis for research in the cultural heritage domain and are more and more present in the day-to-day work of scholars. Thereby, an ever-increasing variety of technologies and data types is being employed, such as 2D, 3D, audio, video, AR/VR, thermography or computer tomography.
Our overarching goal is to match the production and continuous enrichment of digital cultural heritage with the demands of researchers, GLAM experts and various other audiences. In close collaboration with the digitisation community, we seek to establish a strong network in order to facilitate a regular exchange between producers and users of digital materials. This will be complemented by open and modular services and tools for the capture and enrichment process of cultural heritage objects.
Discover the Power of Vector Databases in AI: Transforming Data Handling & Insight Generation. Learn how vector embeddings revolutionize search, enhance recommendation systems, enable semantic search, and fuel AI innovation.
Cette bande dessinée didactique a été produite par le Service commun de la Documentation de l'Université de Guyane. Elle s'adresse à un public de doctorants et de chercheurs dans un objectif d'accompagnement à ces nouvelles pratiques scientifiques.
["slug" being an entity attribute]
Spring Data offers an existsBy query method, which we can define in the PostRepository, as follows:
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@Repository
public interface PostRepository
extends JpaRepository<Post, Long> {
boolean existsBySlug(String slug);
}
[another] option to emulate existence is using a CASE WHEN EXISTS native SQL query:
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@Repository
public interface PostRepository
extends JpaRepository<Post, Long> {
@Query(value = """
SELECT
CASE WHEN EXISTS (
SELECT 1
FROM post
WHERE slug = :slug
)
THEN 'true'
ELSE 'false'
END
""",
nativeQuery = true
)
boolean existsBySlugWithCase(@Param("slug") String slug);
}
@Repository
public interface PostRepository extends BaseJpaRepository<Post, Long> {
@Query("""
select p
from Post p
where date(p.createdOn) >= :sinceDate
"""
)
@QueryHints(
@QueryHint(name = AvailableHints.HINT_FETCH_SIZE, value = "25")
)
Stream<Post> streamByCreatedOnSince(@Param("sinceDate") LocalDate sinceDate);
}
The FETCH_SIZE JPA query hint is necessary for PostgreSQL and MySQL to instruct the JDBC Driver to prefetch at most 25 records. Otherwise, the PostgreSQL and MySQL JDBC Drivers would prefetch all the query results prior to traversing the underlying ResultSet.
Welcome to the Qualitative Data Sharing (QDS) Toolkit We believe in the benefits of data transparency. We created this toolkit to support qualitative data sharing in an ethical manner.
Abstract. In order to support web applications to understand the content of HTML pages an increasing number of websites have started to annotate structured data within their pages using markup formats such as Microdata, RDFa, Microformats. The annotations are used by Google, Yahoo!, Yandex, Bing and Facebook to enrich search results and to display entity descriptions within their applications. In this paper, we present a series of publicly accessible Microdata, RDFa, Microformats datasets that we have extracted from three large web corpora dating from 2010, 2012 and 2013.
More and more websites have started to embed structured data describing products, people, organizations, places, and events into their HTML pages using markup standards such as Microdata, JSON-LD, RDFa, and Microformats. The Web Data Commons project extracts this data from several billion web pages. So far the project provides 11 different data set releases extracted from the Common Crawls 2010 to 2022. The project provides the extracted data for download and publishes statistics about the deployment of the different formats.
Für viele Forscher und Statistiker gilt Jupyter Notebook als De-facto-Standard, wenn es um schnelles Prototyping und die explorative Datenanalyse geht. Außer auf Notebook wirft der Artikel aber auch einen Blick auf Jupyter Lab, das als nächste Generation von Notebooks in den Startlöchern steht.
Netmax Technologies Provide Best data analytics training in Chandigarh , learn Data analyst course in Chandigarh From Netmax. learn Data Analytics with SQL, Python, etc BY Netmaxtech
These cartoons were created for us as advocacy materials for the University of Cambridge Data Champions Programme. They were created by Clare Trowell and are being shared under a CC-BY-NC-ND licence. If you reuse these images please credit Clare Trowell appropriately.
the University of Sheffield Library worked with researchers in seven disciplines to develop subject-specific FAIR checklists for the use of colleagues before, during and at the end of their research project.
In enterprises, data is usually distributed across multiple data sources and stored in heterogeneous formats. The harmonization and integration of data is a prerequisite to leverage it for AI initiatives. Recently, data catalogs pose a promising solution to...
A. Harth. Web Semantics: Science, Services and Agents on the World Wide Web, 8 (4):
348--354(2010)Semantic Web Challenge 2009 User Interaction in Semantic Web research.
S. Farhat, L. Tubati, M. Osiemo, and R. Dave. JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022, Cologne, Germany, June 20 - 24, 2022, page 34. ACM, (2024)
O. Hassan, O. Aderibigbe, O. Efijemue, and T. Onasanya. Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, page 906--908. New York, NY, USA, ACM, (2024)