DataCentric

Save this for later and get in touch when you’re ready for your business transformation! 🚀   #datacentric #analytics #data #datascience #meaningfuldata #technology #business #ai #digitaltransformation

Check out these amazing photos of our recent team event where we had the chance to bond outside our office walls! 🤩 Events like these are truly special as they fuel our will to go further and face new challenges as a team! Cheers to us! 🥂 May we always sail together (and drink good wine)! #datacentric #analytics #data #datascience #meaningfuldata #technology #business #teamwork #team #teambuilding

Check out these amazing photos of our recent team event where we had the chance to bond outside our office walls! 🤩 Events like these are truly special as they fuel our will to go further and face new challenges as a team! Cheers to us! 🥂 May we always sail together (and drink good wine)! #datacentric #analytics #data #datascience #meaningfuldata #technology #business #teamwork #team #teambuilding

To meet growth demands and ensure the optimal performance of their businesses in this ever-evolving digital era, organisations around the globe have a huge necessity for reliable scalability in software development and deployment. Efficiency and portability are crucial aspects! Docker, an open platform for developing, shipping, and running applications, allows developers to package applications and their dependencies into containers that are lightweight, portable and can run consistently in any environment (on-premises systems, cloud servers or container clusters), hence providing an easy and trustable way to create isolated environments and automatically scale them up or down. 👀 𝐓𝐚𝐤𝐞 𝐚 𝐜𝐥𝐨𝐬𝐞𝐫 𝐥𝐨𝐨𝐤 𝐚𝐭 𝐃𝐨𝐜𝐤𝐞𝐫’𝐬 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞𝐬 𝐭𝐨 𝐬𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥𝐥𝐲 𝐬𝐜𝐚𝐥𝐞 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐬𝐞𝐝 𝐰𝐨𝐫𝐤𝐥𝐨𝐚𝐝𝐬: 🔁 𝐏𝐨𝐫𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Despite of the environment you’re working on, the Docker container will run the same way, ensuring consistency across all steps of the application lifecycle, and making it easy to migrate applications between different environments seamlessly. ⏭️ 𝐇𝐨𝐫𝐢𝐳𝐨𝐧𝐭𝐚𝐥 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 With container orchestration tools such as Kubernetes or Docker Swarm, Docker allows you to quickly adapt the capacity of your application according to demand. ▶️ 𝐀𝐮𝐭𝐨-𝐒𝐜𝐚𝐥𝐢𝐧𝐠 Docker’s auto-scaling mechanisms automatically adjust the number of container instances based on predefined metrics, e.g., CPU utilisation, memory usage or incoming traffic, ensuring that resources are allocated efficiently and that applications can handle changes in workload without the need of manual intervention. ⬆️ 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 Compared to traditional virtual machines, Docker containers are much lighter, contributing to minimise hardware costs and ease resource management. ↔️ 𝐋𝐨𝐚𝐝 𝐁𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 Docker provides built-in support for load balancing which is essential to ensure the efficient distribution of traffic among containers and guaranteeing an optimal performance. 🆗 𝐒𝐞𝐥𝐟-𝐇𝐞𝐚𝐥𝐢𝐧𝐠 With self-healing mechanisms, Docker helps maintain the desired state of your application, reducing downtime and ensuring high availability. 🎦 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 Docker offers effective monitoring and logging tools that are essential for identifying performance bottlenecks, tracking resource utilisation and troubleshooting issues in containerised environments. 📶 𝐅𝐚𝐬𝐭𝐞𝐫 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Docker reduces compatibility issues, speeds up the development cycle and automates the deployment process, saving time and reducing errors. If you want to take advantage of Docker’s many benefits in your software development process, contact us! We’re glad to help your business grow! 🚀 #datacentric #analytics #data #datascience #meaningfuldata #technology #business #dockers #containerisation #devops

Looking for data expertise to grow your business? We are the partner you need! 🚀 At DataCentric we enable our clients to uncover new insights and make faster, informed business decisions, by providing visual analytics and self-service discovery. And yes: the best São João is definitely at Porto! 🥳 Enjoy it! #datacentric #analytics #data #datascience #meaningfuldata #technology #business #techhub #porto

Say goodbye to outdated reports that fail to provide actionable insights! 👋🏻 With 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 you can transform your business’s raw data into stunning and engaging visuals with meaningful insights: 🔥 Bring your data to life with dynamic and interactive visuals that allow users to explore information in real-time. 🔥 Integrate all your existing data sources, including Excel, SQL Server and cloud-based platforms, to streamline your analytics workflow. 🔥 Harness the power of artificial intelligence to uncover hidden patterns and trends in your data, obtaining actionable insights faster than ever. 🔥 Access your reports anytime, anywhere, with Power BI’s mobile app. 𝐄𝐦𝐛𝐫𝐚𝐜𝐞 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐰𝐢𝐭𝐡 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐚𝐧𝐝 𝐮𝐧𝐥𝐨𝐜𝐤 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚! Contact us! 🚀 #datacentric #analytics #data #datascience #meaningfuldata #technology #business #artificialintelligence #powerBI

🚨 Do you want to obtain actionable insights from data? 🚨 🔥 Then you must have a solid Data Foundation tailored to your business’s unique goals! A Data Foundation includes the fundamental principles, technologies and practices designed to ensure data quality, accessibility, security and usability, in order to support both immediate operational needs and future strategic initiatives. 𝐀𝐭 𝐃𝐚𝐭𝐚𝐂𝐞𝐧𝐭𝐫𝐢𝐜 𝐰𝐞 𝐞𝐧𝐬𝐮𝐫𝐞 𝐭𝐡𝐚𝐭 𝐞𝐯𝐞𝐫𝐲 𝐚𝐬𝐩𝐞𝐜𝐭 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐣𝐨𝐮𝐫𝐧𝐞𝐲 𝐢𝐬 𝐨𝐩𝐭𝐢𝐦𝐢𝐬𝐞𝐝 𝐟𝐨𝐫 𝐦𝐚𝐱𝐢𝐦𝐮𝐦 𝐢𝐦𝐩𝐚𝐜𝐭 𝐚𝐧𝐝 𝐩𝐫𝐨𝐟𝐢𝐭𝐚𝐛𝐥𝐞 𝐫𝐞𝐬𝐮𝐥𝐭𝐬. How? 💎 By understanding the data you have and the data you need to acquire; 💎 By organising that data; 💎 By building trust in the data. 👉 Whether you need to streamline operations, enhance customer experience or stand out from your competitors, our solutions are designed to deliver tangible results. 👉 You gain access to cutting-edge technologies and best practices that empower you to transform raw data into strategic advantages. 👉 You future-proof your operations with scalable solutions that adapt to your business’s evolving needs. If you want to foster your business’s growth and sustainability, contact us and we’ll help rebuild it from ground to greatness! 📲 #datacentric #analytics #data #datascience #meaningfuldata #technology #business #datafoundation 

📦 Data replication is the process of making multiple copies of the same data and storing them in different locations. If you’re wondering “why do I need this for my business?” 🤔, just swipe left and find out! Reach out and learn more about how data replication can maximise efficiency and unlock new specific opportunities for your business! 📲 #datacentric #analytics #data #datascience #meaningfuldata #technology #business #datareplication 

Today isn’t just about data and analytics. Today we celebrate our people and the powerful bonds of collaboration, unity and common vision that drive us forward! 🤩 𝐇𝐞𝐫𝐞’𝐬 𝐚 𝐛𝐢𝐠 𝐭𝐡𝐚𝐧𝐤 𝐲𝐨𝐮 𝐭𝐨 𝐨𝐮𝐫 𝐚𝐦𝐚𝐳𝐢𝐧𝐠 𝐭𝐞𝐚𝐦 𝐟𝐨𝐫 𝐝𝐫𝐢𝐯𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐞𝐯𝐞𝐫𝐲 𝐝𝐚𝐲! 🏆 #datacentric #analytics #data #datascience #meaningfuldata #technology #business #teamwork #team #workersday

A Data Lake is a framework or approach to designing a centralised easy-to-scale repository that allows you to store and manage all types of big data. 🤔 𝐖𝐡𝐲 𝐢𝐬 𝐢𝐭 𝐢𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐚 𝐬𝐨𝐥𝐢𝐝 𝐃𝐚𝐭𝐚 𝐋𝐚𝐤𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞? The objective of a Data Lake is to make data easy to locate and use. With a Data Lake you can efficiently ingest, store and analyse vast amounts of data, empowering your organisation to make data-driven decisions with confidence! 🔍 𝐓𝐡𝐞𝐧, 𝐡𝐨𝐰 𝐜𝐚𝐧 𝐲𝐨𝐮 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐚 𝐬𝐨𝐥𝐢𝐝 𝐃𝐚𝐭𝐚 𝐋𝐚𝐤𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞? 𝟏. 𝐄𝐬𝐭𝐚𝐛𝐥𝐢𝐬𝐡 𝐎𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞𝐬 Understanding your organisation's goals and the specific use cases for your Data Lake is essential to ensure the architectural alignment with the business objectives. 𝟐. 𝐂𝐡𝐨𝐨𝐬𝐞 𝐭𝐡𝐞 𝐑𝐢𝐠𝐡𝐭 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 Whether it's cloud-based or on-premises solutions, make sure they align with your requirements and budget. The two major data lake architecture components — storage and compute — can be on-premise or on cloud, allowing for multiple possible combinations during the data lake architecture design. 𝟑. 𝐅𝐨𝐜𝐮𝐬 𝐨𝐧 𝐃𝐚𝐭𝐚 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 Implement robust data governance policies that include auditing, data cataloguing, security, data integrity, compliance and consistency throughout the lifecycle of your data. 𝟒. 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐅𝐥𝐞𝐱𝐢𝐛𝐢𝐥𝐢𝐭𝐲 Design your architecture with scalability and flexibility in mind to accommodate expansion without compromising performance. 𝟓. 𝐃𝐚𝐭𝐚 𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧 Leverage metadata management tools to catalog and organise your data effectively, and implement technology to explore data for self-service business intelligence. This enhances discoverability and facilitates collaboration across teams. 𝟔. 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 Prioritise data security measures that safeguard against unauthorised data access and ensure compliance with data protection regulations. Encryption, access controls and auditing mechanisms are essential components of a secure Data Lake Architecture. 💡 At DataCentric, we can build the right Data Lake for your organisation and maximise its potential to successfully generate business value from your data! Attract and retain customers; boost productivity; proactively maintain devices and make informed decisions. Grow your business! 🚀 #datacentric #analytics #data #datascience #meaningfuldata #technology #business #datalake #bigdata #dataarchitecture