INSIGHTS SOBRE GERENCIAMENTO DE DADOS
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Últimos Insights sobre Gerenciamento de Dados
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Key questions to kick off your data analytics projectsThere’s no single blueprint for starting a data analytics project. Technology expert Phil Simon suggests these 10 questions as a guide.
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What is a data lake & why does it matter?As containers for multiple collections of data in one convenient location, data lakes allow for self-service access, exploration and visualization. In turn, businesses can see and respond to new information faster.
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Public health infrastructure desperately needs modernizationPublic health agencies must flex to longitudinal health crises and acute emergencies – from natural disasters like hurricanes to events like a pandemic. To be prepared, public health infrastructure must be modernized to support connectivity, real-time data exchanges, analytics and visualization.
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5 data management best practices to help you do data rightFollow these 5 data management best practices to make sure your business data gives you great results from analytics.
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The transformational power of evidence-based decision making in health policyState health agencies are under pressure to deliver better health outcomes while minimizing costs. Read how data and analytics are being used to confront our biggest health care challenges head on.
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IoT: The customer experience accelerator you can't afford to ignoreIoT represents a powerful source of data that, when combined with analytics, can yield insights on everything from behavior to emotions to health. And that's why it's key to improving customer experience.
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Data lineage: Making artificial intelligence smarterLear how data lineage plays a vital role in understanding data, making it a foundational principle of AI.
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What big data has brought to the privacy discussionHow does big data impact your privacy? There are ways to balance privacy and security in an increasingly transparent and dangerous world.
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Bringing data to the streamHow much do we know about fresh water systems and the dynamic nature of streams and rivers? Find out how one data scientist turned his fascination with streams and rivers into a career.
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Apenas 7% das empresas estão em conformidade com o GDPR -
Regulamento Geral de Proteção de Dados vai gerar mudanças em empresas no Brasil -
GDPR and AI: Friends, foes or something in between?The GDPR may not be best buddies with artificial intelligence – but GDPR and AI aren't enemies, either. Kalliopi Spyridaki explains the tricky relationship between the two.
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Personal data: Getting it right with GDPRTo learn more about the definition of personal data, why it’s in the news and why it’s being tightly regulated by laws like the General Data Protection Regulation (GDPR), we interviewed Jay Exum, Privacy Counsel at SAS.
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Dados como ativo estratégico?
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General Data Protection Regulation: From burden to opportunityThe General Data Protection Regulation stirs up mixed emotions, but Kalliopi Spyridaki shows how to use the new legislation for business advantage.
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Data integration: It ain't what it used to beOnce limited in scope, data integration now supports analytics and data-driven operational processes like real-time insurance claims processing and IoT apps.
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Data management backgrounderFrom data integration to data quality and data preparation, find out what these terms mean and why they’re so important for your analytics projects.
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The five D's of data preparationFrom discovering which data is best to use, to delivering it in the right format to users, learn why these 5 D’s are essential to data preparation.
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Data quality management What you need to knowData quality isn’t simply good or bad. Data quality management puts quality in context to improve fitness of the data you use for analysis and decision-making.
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The future of IoT: On the edgeFrom cows to factory floors, the IoT promises intriguing opportunities for business. Find out how three experts envision the future of IoT.
Data Management: The Basics
Data management can often mean the difference between a business that will succeed and one that will drown in too much disorganized information. With high-quality, well-managed data, you can gain a clearer picture of your business. Access the right data when you need it. And make better, more strategic decisions. From data quality to data integration to master data management, data management solutions help you stop reacting to bad data – and start using your data to make a difference.
Gerenciamento de Dados: Fundamentos
- Gerenciamento de Dados
- Digital Transformation
- O que é big data?
- Hadoop
- O que é ETL?
- O que é data warehouse?
- Cloud Computing
- Blockchain
What is digital transformation?
Definitions of digital transformation vary. But no matter how it’s defined, the competitive advantage that results is accomplished when an organization effectively uses digital technology to dramatically streamline and improve processes, customer service and business operations. Formed at the intersection of people, business and technology, digital transformation affects many aspects of our lives – how we work, shop, travel, educate, govern and live. Today we feel its effect across all industries, large and small alike.
O que é big data?
Para a maioria das organizações, big data é a realidade dos negócios. É a proliferação de dados estruturados e não-estruturados que inunda a sua organização diariamente – e, se bem gerido, pode fornecer insights valiosos.
Imagine ser capaz de analisar dados para determinar a causa de falhas. Ou detectar um comportamento fraudulento antes que isso afete a receita. A implementação das soluções certas para aproveitar ao máximo seu big data – do gerenciamento à análise de dados – pode ser a chave para o sucesso do seu negócio.
SAS & Hadoop
Organizações com grandes volumes de dados estão recorrendo ao Hadoop para extrair valor de toda essa informação. Mas o que é exatamente o Hadoop – e como ele pode ajudar sua organização? Saiba como o Hadoop está evoluindo para atender aos desafios de big data atuais e futuros. E como você pode aproveitar o gerenciamento, a visualização e a análise de dados para obter insights mais rápidos e significativos do seu ambiente Hadoop.
ETL (extrair, transformar, carregar)
Tecnologias mais antigas nem sempre desaparecem e são substituídas por novas tecnologias. Às vezes eles se adaptam aos tempos e mantêm sua relevância. Foi o que aconteceu com o ETL (extrair, transformar, carregar) – uma tecnologia que existe há décadas, de que muitas organizações ainda dependem como parte de sua estratégia de data integration. Conheça a história do ETL e como ele funciona, e descubra onde ele se encaixa em um mundo de big data, Hadoop e streaming.
O que é data warehouse?
Com grandes quantidades de dados prontamente disponíveis para as organizações, a questão não é mais como as empresas as coletam – mas como elas são armazenadas. Os data warehouses são uma solução confiável. Eles servem como um repositório de dados coletados e integrados de várias fontes. E, ao contrário dos data lakes, que armazenam dados brutos, os data warehouses contêm dados que são consistentemente formatados para que estejam prontos para fins de análise ou geração de relatórios.
What is cloud computing?
Cloud computing provides access to easily scalable computational resources for software and data storage by eliminating the need for storage on local systems and infrastructure. Services and data can be securely accessed as needed to extend capabilities or reduce costs.
What is blockchain?
What can you store in blockchain besides Bitcoin transactions? Insurance claims, medical records and even voting records can all be stored in blockchain. Simply put, blockchain is a distributed data architecture that stores data and transactions – and validates the accuracy of those transactions by consensus. Learn more about blockchain and how you can analyze blockchain data.
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