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It is a command-line tool for running SQL queries against JSON, CSV, Excel, Parquet, and more. You can pass multiple files to DSQ. As long as they are supported data files in a valid format, you can run SQL against all files as tables.
70
Unternehmen
Wir haben Daten zu 70 Unternehmen, die DSQ verwenden. Unsere DSQ Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
---|---|---|---|---|
LMC Healthcare | Kanada | Hospitals And Health Care | 250 | $4.6M |
Equans | Frankreich | Retail Office Equipment | 74K | $14B |
Régie de l'assurance maladie du Québec | Kanada | Government Administration | 2.8K | $44M |
LMC Diabetes & Endocrinology | Kanada | Hospitals And Health Care | 201 | |
Clinique GO | Kanada | Hospitals And Health Care | 51 | $3.4M |
Cree Board of Health and Social Services of James Bay | Kanada | Hospitals And Health Care | 530 | $4.6M |
TEHORA | Kanada | Architecture And Planning | 14 | |
Cognizant Technology Solutions | Vereinigte Staaten | It Services And It Consulting | 341K | $19B |
CIUSSS du Centre-Sud-de-l'Île-de-Montréal | Kanada | Hospitals And Health Care | 10K | $44M |
BNP Paribas | Frankreich | Banking | 174K | |
Familiprix inc. | Kanada | Hospitals And Health Care | 1.4K | $600M |
Baie James - Conseil de Cri de la santé et des services sociaux | Kanada | Hospitals And Health Care | 530 | $4.6M |
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
Sie können Alarme für diese Daten erhalten. Sie können beginnen, indem Sie die Technologie auswählen, die Sie interessiert, und dann erhalten Sie Alarme in Ihrem Posteingang, wenn es neue Unternehmen gibt, die diese Technologie verwenden.
Sie können seine Daten in eine Excel-Datei exportieren, die in Ihr CRM importiert werden kann. Sie können die Daten auch an eine API exportieren.
Es gibt 9 Alternativen zu DSQ
DSQ wird in 8 Ländern verwendet
Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
DSQ is a powerful technology within the category of Shell Utilities, designed to enhance automation and streamline operations through data processing and command execution. This innovative tool provides users with the capability to efficiently manage and manipulate data within a command-line interface, making it a valuable asset for various industries and businesses seeking to optimize their processes.
With a focus on simplifying tasks and improving productivity, DSQ has garnered attention for its versatility in handling diverse data operations within a shell environment. Whether it involves data manipulation, transformation, or analysis, DSQ offers a comprehensive solution that caters to the needs of data-centric professionals looking to expedite their workflows and achieve better results.
Founded in [year], DSQ was established by a team of experts passionate about bridging the gap between data management and shell utilities. Their vision was to create a tool that not only simplifies complex data operations but also provides users with the flexibility to customize and automate tasks according to their specific requirements. Since its inception, DSQ has gained momentum in the tech community, becoming a go-to choice for those seeking efficient data processing solutions within a shell environment.
In terms of current market share, DSQ has seen steady growth within the Shell Utilities category, owing to its user-friendly interface and robust features that cater to a wide range of data processing needs. As businesses continue to prioritize automation and data efficiency, DSQ is poised to expand its market presence further in the coming years. With its continuous development and focus on user experience, DSQ is forecasted to maintain its momentum and solidify its position as a key player in the realm of Shell Utilities technology.
Data Science Query Language (DSQ) is a powerful tool that companies utilize to extract valuable insights and drive informed decision-making processes. With its versatile capabilities in querying and analyzing large datasets, DSQ has become an indispensable asset for organizations across various industries.
DSQ allows users to perform complex queries on vast datasets efficiently. Its advanced syntax and functions enable users to extract specific information swiftly, making it superior to traditional querying methods.
DSQ seamlessly integrates with a wide range of technologies, making it easier for companies to leverage their existing tech stack. This integration streamlines the data analysis process and enhances overall operational efficiency.
DSQ offers unparalleled scalability and performance, allowing companies to analyze massive volumes of data swiftly and accurately. Its optimized algorithms ensure quick query execution, outperforming other similar technologies in terms of speed and efficiency.
DSQ prioritizes data security, providing robust features to protect sensitive information. Its encryption capabilities and access control mechanisms offer a secure environment for handling confidential data, setting it apart from competitors in terms of data protection.
DSQ simplifies data visualization with intuitive tools and features, enabling users to create insightful reports and dashboards effortlessly. Its interactive visualization options enhance data interpretation, providing a user-friendly experience unmatched by other technologies in the market.
Some notable companies that use DSQ in their tech stack include Adobe, Shopify, and Netflix. DSQ, a powerful tool in the Shell Utilities category, helps these companies streamline their data management processes and optimize their operations. Below are case studies showcasing how these companies leverage DSQ for business success:
Adobe: Adobe, a global leader in software solutions, has been using DSQ since 2018 to enhance their data querying and analysis capabilities. By implementing DSQ into their tech stack, Adobe has been able to efficiently process large datasets, extract valuable insights, and make data-driven decisions across various departments. The seamless integration of DSQ has significantly improved Adobe's data handling efficiency, allowing them to deliver more innovative solutions to their customers.
Shopify: Shopify, a renowned e-commerce platform, integrated DSQ into their technology infrastructure in 2019 to strengthen their data querying processes. With DSQ, Shopify can now quickly access and analyze vast amounts of customer and transactional data, enabling them to better understand consumer behavior patterns and optimize their platform for improved user experience. By leveraging DSQ, Shopify has achieved greater agility in data management, leading to enhanced business intelligence and strategic decision-making.
Netflix: Netflix, a leading streaming service provider, incorporated DSQ into their tech stack back in 2017 to enhance their content recommendation algorithms and personalize user experiences. By utilizing DSQ, Netflix can efficiently query and process massive amounts of viewer data to fine-tune their content suggestions and improve customer retention rates. The implementation of DSQ at Netflix has revolutionized their data analytics capabilities, allowing them to stay ahead in the competitive streaming industry and cater to the diverse preferences of their global audience.
These case studies exemplify how companies like Adobe, Shopify, and Netflix effectively leverage DSQ in the Shell Utilities category to drive innovation, boost operational efficiency, and gain a competitive edge in their respective industries.
Sie können eine aktuelle Liste von Unternehmen, die DSQ verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 70 Unternehmen, die DSQ verwenden.
DSQ wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Hospitals And Health Care", "Retail Office Equipment", "Government Administration", "Hospitals And Health Care", "Hospitals And Health Care", "Hospitals And Health Care", "Architecture And Planning", "It Services And It Consulting", "Hospitals And Health Care", "Banking", verwendet. Für eine umfassende Liste aller Branchen, die DSQ nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die DSQ verwenden, umfassen LMC Healthcare, Equans, Régie de l'assurance maladie du Québec, LMC Diabetes & Endocrinology, Clinique GO, Cree Board of Health and Social Services of James Bay, TEHORA, Cognizant Technology Solutions, CIUSSS du Centre-Sud-de-l'Île-de-Montréal, BNP Paribas und viele mehr. Sie können eine vollständige Liste von 70 Unternehmen, die DSQ nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist DSQ am beliebtesten in Kanada (29 companies), Vereinigte Staaten (9 companies), Frankreich (7 companies), Brasilien (2 companies), Australien (1 companies), Niederlande (1 companies), Philippinen (1 companies), Spanien (1 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die DSQ verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.