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👀🔎Check out this session guide to AWS data integration at #AWSreInvent! Modern organizations typically have multiple tools, technologies & services that collect & store data. Fragmented data leads to silos & creates access challenges. Data integration aims to solve these challenges through different methods of consistent access to achieve: 🔸 Improved data management efficiency & utilization 🔸 Better data quality & integrity 🔸 Faster, meaningful insights from accurate & relevant data 📅 Register for these & other #AWSAnalytics sessions now 👉 https://go.aws/45TsXCF

Let's talk about the efficiency and transformative impact of AWS data pipelines in modern business operations. Here's a quick overview of their key benefits: 🔍 Real-Time Data Analysis: AWS pipelines enable swift processing of large datasets, crucial for making timely decisions in dynamic markets. 🌐 Scalability: Whether you're a growing startup or an established enterprise, AWS data pipelines offer scalable solutions to meet your evolving data needs. 🔐 Security and Compliance: With robust security features, these pipelines ensure data protection and compliance with regulations like GDPR and HIPAA. 🔄 Automated Data Integration: Automating ETL processes saves time and resources, allowing businesses to focus on strategic growth. 💡 Diverse Industry Applications: From healthcare to retail, AWS data pipelines support innovative data utilization across various sectors. AWS data pipelines are more than tools; they're strategic assets driving business growth and innovation. How do you envision these pipelines transforming your industry? Let's Connect. #dataanalytics #datapipeline #ai

#AWS for Data Symposium Munich Data has become one of the most valuable assets to help companies optimize processes, reduce costs, gain a competitive advantage, and delight customers. While evolution of businesses produce enormous amounts of data, it is usually siloed away in different applications and databases, accessible only to the team that manages or uses the application on a regular basis. Establishing a data strategy is an important step to leverage machine learning (ML) across the enterprise and connect the dots between different parts of the organization. Last Chance to register: https://lnkd.in/e5TEHHkj

IBM is one of the largest corporate networks known to mankind. 🌐 With the health of that network riding on their back, the CIO Network Engineering team needs continuous, reliable, and transparent operational data that teams around the world can use in real-time. When their existing DataOps solution wasn't cutting the mustard, they turned to our smart data pipeline platform for rescue! 🦸 “We use StreamSets because it’s the only technology that handles volume at scale.” – Stephan Barabasi, big data, cloud architect, and data scientist. What's next? Plans to scale StreamSets beyond the CIO Network Engineering team. 🚀 https://bit.ly/49j4aLa #DataPipelines #DataOps #CIO

Do you trust your data so that you can use it for Analytics and AI? have you thought about implementing a Data Governance Strategy? Having a strategy and platform to implement it minimizes the risk of Data. Use IBM Knowledge Catalog to implement your policies and rules on data. Ensure your data is curated, protected and easily accessible by your organizational teams to build Analytics and AI......Now, you can view my verified achievement from IBM.

I read in a post earlier today, and apologies I can't find it now to provide the appropriate credit. The statement as I recall it: "It's not about big tech vs small tech, it's about open vs closed." Which I think is the start of an interesting conversation... let's discuss! Come and join IBM and Cloudera at the Evolve '23 event in Sydney and talk to Rakesh Meher, Deon George and Myself about how IBM's new #watsonx.data provides an open data #lakehouse platform and how our partnership with Cloudera can leverage an open #CDP to enable a cumulatively more open, more flexible, hybrid cloud datacentric architecture that empowers organisations to harness the full potential of their data assets, drive innovations, such as #AI, and gain a competitive edge in today's rapidly evolving digital landscape. Kieran Hagan Nicholas Renotte Kristian Smythe Imran Hossain Simon Sedgwick Natalie Gunn Gavin Fernandes Ian Godsell Mary-Jane Goddard Trevor Noseda https://ibm.biz/BdM5tn

Did you go to AWS re:Invent? I missed it this time BUT I did not miss all the juicy updates! Thanks to my dear Co-founder and CEO of Vendia Tim Wagner  → https://vendia.fyi/3Rhll7G TL;DR: below ⬇ 🔮 Serverless & zero ETL solutions are the way of the future. Boundaries between operational and analytical ecosystems are here today...but they’ll be gone tomorrow. In 10 years, heads will roll at the idea of entire teams dedicated to doing ETL and babysitting applications. 💡Data automation & workflows represent top investment priorities. Activating insights across systems and clouds is only getting faster, easier, and more flexible as better data automation platforms and workflow capabilities lower the barriers to entry for data sharing. 🌎 Cross-cloud, -party, and -region support remains a critical opportunity. Sometimes the absence of a topic is the most telling of all. Case in point: a lack of solutions that can span so many of the data canyons that exist within and outside an organization—precisely what Vendia is designed to do. 

In today's data-driven world, Data Azure Engineers play an important role in designing data solutions that empower businesses to harness their data effectively. They excel in data management, including integration, transformation, storage, and security, allowing businesses to make data-driven decisions and remain competitive in the digital age. Learn more about how they can help maximize the value of your data here: https://lnkd.in/dfksSsju

Data has become one of the most valuable assets to help companies optimize processes, reduce costs, gain a competitive advantage, and delight customers. While evolution of businesses produce enormous amounts of data, it is usually siloed away in different applications and databases, accessible only to the team that manages or uses the application on a regular basis. Establishing a data strategy is an important step to leverage machine learning (ML) across the enterprise and connect the dots between different parts of the organization. The #AWS Data Portfolio specialists team would like to invite you to join a free, in-person AWS for Data Symposium in Berlin focusing on data technologies which helps you build next gen data platform to deliver competitive advantage in your industry by building a data-driven culture, well-designed strategies with appropriate governance. https://lnkd.in/eVZSChfB #BigData #DataAnalytics