Migração SAS para Databricks movida por IA
Com nossa metodologia impulsionada por um sistema proprietário que utiliza LLMs na avaliação, processamento e conversão de códigos, migrações podem ser feitas com uma redução de até 80% de tempo e custo.
The main technologies utilized in the projects made by Jump specialists for our clients
One of the main cloud platforms in the market
AWS is the broader cloud platform in the world, offering over 200 full datacenter services worldwide. With AWS, you can create, deploy and escalate applications quickly and safely to attend to your every need.
Currently, it’s the main option in cloud platforms for artificial intelligences, databases, machine learning and serverless implementations.
Cloud environments inside Microsoft's ecossystem
Azure is Microsoft’s cloud platform, offering a broad range of services and resources to attend the needs of companies of all sizes and areas. With Azure, you can create, deploy and escalate applications quickly and safely.
Google's cloud solutions platform
Google Cloud Platform and its Anthos platform are working to break down the budgets of digital transformation. Meanwhile, the cloud provider is looking to expand its key sectors, such as retail and financial services.
Its focus is on innovation, focusing on adopting the latest technological advances available for cloud environments.
Unify Data Warehouses and AI use cases into a single platform
The Databricks Lakehouse Platform combines the best of data lakes and data warehouses to provide the reliability, strong governance, and performance of data warehouses, the flexibility, and machine learning support of data lakes.
This unified approach simplifies your modern data set, eliminating the data silos that traditionally separate and complicate data engineering, analytics, BI, data science, and machine learning. It is built on open source and open standards to maximize flexibility. And its common approach to data management, security, and governance helps you operate more efficiently and innovate more quickly
Empowering the era of data analytics
One of Teradata’s standout features is its ability to process and analyze data at scale, which is essential for modern organizations that need to make informed decisions based on insights from a wide range of data sources. The Teradata platform offers advanced parallel processing, optimized storage, and query optimization features, allowing businesses to execute complex analytics efficiently and quickly.
In addition, Teradata embraces the era of advanced analytics, providing features for predictive analytics, data mining, and machine learning. This allows businesses to explore hidden trends, identify valuable patterns, and make more informed decisions based on concrete data. The combination of advanced analytics and scalability makes Teradata an attractive choice for businesses that are looking for innovation and tangible results.
Empowering the era of data analytics
Salesforce is a cloud-based CRM platform that can help your business improve how you interact with your customers. By streamlining your sales team, creating a 100% personalized customer service experience, and running 360-degree multichannel marketing campaigns, you can gain complete control over your actions and the status of your goals. All of this is in addition to being able to grow in a controlled and scalable way in all areas of your business.
This platform allows you to centralize communications with your customers while obtaining progress and status reports, using different cloud providers that make up the Salesforce universe.
Build the bridge between data and decision-making
Power BI makes it easy to connect to a variety of data sources and visualize your key performance indicators (KPIs) through easy-to-customize reports.
Power BI is also a leading data visualization tool. It has a user-friendly interface that is familiar to those who are used to working with Microsoft solutions. This makes it easy to implement self-service BI in businesses, as users can easily build their own reports.
Discover how SAS helps you explore, analyze, and visualize your data
SAS is a statistical institute that provides a set of analytics solutions for use in various market areas. These solutions allow users to manage and retrieve data from various sources, and perform a variety of operations on that data, including data management, statistical analysis, business modeling, report building, quality improvement, application development, data transformation, and data extraction.
SAS has a wide variety of solutions from different areas of data analysis. Jump Label is a company that specializes in data analytics and has professionals who can help your company make the best decisions based on your large volume of data.
Key SAP solutions for the world of Data Analytics
SAP Business Technology Platform (SAP BTP) brings together intelligent applications with data management, database, analytical functions, integration, and extension capabilities into a single platform for hybrid and cloud environments. This platform includes hundreds of pre-integrated integrations for SAP and third-party applications.
Analytical solutions are a key part of SAP BTP, enabling users to gain real-time insights through Machine Learning, AI, Business Intelligence, and augmented analytics capabilities. These solutions can be used to analyze past and present situations, and to simulate future scenarios.
SAP offers a variety of products to meet the needs of different businesses and industries. These products include SAP Analytics Cloud for Business Intelligence, SAP BusinessObjects Business Intelligence (BI) Suite, SAP Data Warehouse Cloud, SAP BW/4HANA, and SAP Analytics Cloud for Planning.
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Descrição: Oportunidade para Analista de Dados Sênior com atuação em projetos de ponta a ponta, desde o levantamento de requisitos até a modelagem e entrega de soluções analíticas. Responsável por análises diagnósticas e preditivas, além da geração de insights estratégicos para o negócio. Necessário domínio em SAS, SQL, Excel e PowerPoint, com foco em apresentações executivas e boa comunicação com áreas internas.
Descrição: Estamos em busca de um Engenheiro de IA talentoso e motivado para integrar nossa equipe. Este profissional será responsável por projetar, desenvolver e implementar soluções de inteligência artificial que resolvam problemas complexos e melhorem os processos de negócios.
Descrição: Analista de dados responsável por coletar, organizar, interpretar e transformar dados em informações para apoiar os times de negócios na tomada de decisões, identificando insights que possam otimizar processos e impulsionar resultados.
Descrição: Oportunidade para Arquiteto(a) de IA com sólida experiência em arquitetura de dados em cloud (AWS, Azure, OCI) e domínio de soluções como Data Lake, Data Warehouse e Lake House. Proficiência em ciência de dados, machine learning e modelos de linguagem (LLM), com conhecimento em frameworks como TensorFlow, PyTorch e Scikit-learn. Atuação em projetos com Databricks, Snowflake, Apache Spark e ferramentas de visualização como Tableau e Power BI. Vivência em governança e segurança de dados, além de desenvolvimento e ajuste fino de modelos de IA. Formação superior em áreas de tecnologia e certificações em cloud e IA são diferenciais.
Descrição: Estamos em busca de um Arquiteto de Dados talentoso e experiente para desenhar soluções e arquiteturas em nossos projetos de Martech. O candidato ideal deve ter um profundo conhecimento em plataformas de jornada de cliente da Salesforce (Marekting Cloud) e Customer Data Platforms (CDP) e ecossistema Salesforce (Sales, Services, Tableau e demais). Além disso, é essencial ter experiência em arquitetura de dados e ambientes de Cloud, incluindo OCI, AWS, Google e Azure e estratégias de integrações ETL, API e Event/mensageria de dados.
Descrição: Profissional sênior com sólida experiência em gerenciamento de projetos, preferencialmente na área de Ciência de Dados. Possui visão estratégica, perfil analítico e forte capacidade de planejamento. Domina metodologias ágeis (Scrum e Kanban) e ferramentas como Azure DevOps. Destaque para habilidades de liderança, comunicação e monitoramento de projetos por meio de indicadores e métricas de desempenho.
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