Datrick

👇 Below, we've curated a list of TOP-7 resources that gave us a better understanding of data analytics (for eg: Google’s 1st chief data scientist’s thoughts on algorithms in the age of AI). You won't want to miss these: 👉 Stefano Solimito, Head of Data Engineering at Zeplin talks about how he built a data platform for 'The Telegraph', a 164-year-old company in this blog. He also details the challenges he faced in the process and how he scaled the solution to handle a large amount of cloud data. 🔗 https://lnkd.in/g7BsqRpn 👉 Cassie Kozyrkov is Google's first Chief Decision Scientist with a unique combination of deep technical expertise, analytics management experience, and the ability to lead organizational change. Her LinkedIn posts excel at data analytics education. 🔗 https://lnkd.in/gxyhshfN 👉 In this blog, Nick Handel from dbt Labs talks about "metrics store," which has recently gained a lot of traction among the data community, its origin, status, and future trends. He also highlights its benefits in standardizing metric logic and creating a knowledge hub. 🔗 https://lnkd.in/gSFXe_Jj 👉 Data wrangler and investor Lauren Balik talks about how data is being discussed on various platforms like LinkedIn, Reddit, and Twitter. With the help of a "Bullwhip Effect" analogy, she discusses data supply chain challenges and how to overcome them. 🔗 https://lnkd.in/gJng4nVG 👉 The founder of dbt Labs, Tristan Handy tries to answer the critical question of "Does your Startup Data Team Need a Data Engineer?" He discusses the evolving role of data engineers in startups and the right approach towards establishing data teams. 🔗 https://lnkd.in/gXNmUUQu 👉 Here, Generative AI Architect John H. talks about how AI use cases like RAG and finetuning depend on healthy data infrastructure as a foundation. He also discusses the right solutions for data governance, observability, data sharing, and more. 🔗 https://lnkd.in/ghUXZEhk 👉 In this blog, the Founder & CEO of Datrick, Can Goktug Ozdem talks about how Modern Data Stack has become an integral part of organizations regardless of their size, and the need for data engineers and analysts. 🔗 https://lnkd.in/g_JR245a If you've made it this far, don't miss out on exclusive bonus resources waiting in the comments! #Dataanalytics #dataanalyst #dataresources

Slack is gearing up to revolutionize business collaboration with generative AI. After months of internal experimentation, they're set to introduce game-changing features to streamline work-life. Here's what we can expect: 🔍 Tired of sifting through endless Slack threads? AI will soon do the heavy lifting for you, providing concise summaries of lengthy discussions.  📌 Coming back from a break or vacation? No need to dig through mountains of messages. AI will offer quick recaps of what's been discussed in your team channels, getting you up to speed in no time. 📚 Instead of scouring through search results, ask Slack a question, and AI will sift through your data to provide a direct answer. The integration of generative AI in collaboration apps like Slack aims to transform information into insights and action. However, it's not without its challenges. AI "hallucinations" and data privacy concerns are being carefully addressed to ensure a seamless user experience while safeguarding your information. Is your organization using Slack? How will the integration of AI affect your company's productivity? https://lnkd.in/d9gkkGuN #AI #Slack #Productivity #DigitalTransformation #SlackAI

The evolution of software development tools has come a long way since Team Foundation Server (TFS) first made its debut in 2005. In 2018, Microsoft introduced Azure DevOps, signaling a significant shift in its DevOps solutions. TFS, once an on-premises solution, underwent a transformation. It became Azure DevOps Server, aligning with Microsoft's cloud-centric approach. Meanwhile, the cloud-based Visual Studio Team Services (VSTS) was rebranded as Azure DevOps Services. So, what sets TFS apart from Azure DevOps Services? Let's assess the differences and explore whether migrating your operations to the cloud is the way forward for your organization. ☁ https://lnkd.in/daDqNBhH #DevOps #AzureDevOps #TFS #CloudMigration #SoftwareDevelopment #Datrick

🚀📊 To ensure a successful cloud adoption journey, it's crucial to measure progress effectively. Let's explore some key insights and best practices for tracking cloud adoption initiatives: 1️⃣ Selecting the right Key Performance Indicators (KPIs) is the first step. Your KPIs should align with your business goals for cloud adoption. Remember, it's not about having more KPIs, but about having the most relevant ones. Start with the essentials and refine them over time. 2️⃣ Shift from process-based metrics to outcome-based ones. What truly matters is how cloud adoption impacts your business ��� missed transactions, revenue, employee productivity. Don't fall into the trap of making a KPI an objective; instead, it should be a tool to drive your objectives. 3️⃣ Cloud offers new possibilities. Instead of reacting to incidents, proactively prevent them. Embrace advanced monitoring tools to reduce downtime and encourage the right behaviors within your teams. 4️⃣ Cloud adoption brings data-driven opportunities: cloud tools, automation, and dashboards to collect and analyze performance data effortlessly. Embrace flexibility and set ambitious goals. Even if you don't reach them, you'll learn and grow in the process. Cloud adoption is not just a technology shift; it's a strategic move to enhance agility, resilience, and productivity. It's about driving real business value. Embrace these principles, and your cloud adoption journey will be on the path to success. 🌐☁️ https://lnkd.in/e5e3nsWm #CloudAdoption #DigitalTransformation #CloudStrategy #IT #Datrick

🚀🛠️ While the tech industry is solving problems for other businesses, it's also facing various issues of its own. One of these issues is maximizing the capability and capacity of their teams. Tech companies are shifting from "grow at all costs" to a focus on profitable growth. To achieve this, they're adding fewer people but expanding work. This involves reducing job complexity and investing in training to elevate the team's skills. In addition, companies can operate with limited core staff and scale projects at ease by bringing on remote developers when the need for additional staff arises. https://lnkd.in/dA2Wcbdh #TechIndustry #IT #Hiring #SoftwareDevelopment #Datrick

🚀 DevOps bridges the gap between development and operations, revolutionizing the IT industry. Organizations now develop, deploy, and maintain solutions faster and more effectively. The demand for DevOps engineers is soaring, reshaping the tech job landscape. Discover how tech giants leverage DevOps to streamline operations and drive innovation. The future of DevOps is bright, and it's transforming the way we build and manage solutions. https://lnkd.in/dh4bUadU #DevOps #TechInnovation #DigitalTransformation #SoftwareDevelopment #IT #Datrick

Embracing digital transformation is no longer a choice; it's a necessity. In a world marked by rapid change, organizations must evolve. Success hinges on the seamless flow of people, process, and automation, driven by a positive culture shift. Amid these changes, DevOps professionals play a pivotal role. The next-gen DevOps pro is a hybrid, blending diverse skills and a collaborative spirit. Yet, finding such talent is a challenge. The DevOps Institute's Upskilling 2021 report shows 64% struggle to find skilled DevOps team members. With DevOps demand set to soar 122% in the next five years, upskilling is essential. But here's the catch: 39% lack upskilling programs. How is your company dealing with its DevOps challenges? Do you have upskilling opportunities for your DevOps experts? https://lnkd.in/gVJk8AU4 #DevOps #DigitalTransformation #IT #Datrick

🤖 Is traditional outsourcing becoming obsolete as AI continues to evolve? It's a question that both businesses and IT outsourcing providers are beginning to ask. AI is transforming the way we work and live. From smart vacuums to self-driving cars, AI is everywhere. So, what's in it for businesses? 🏢 AI streamlines operations and frees up teams for creative endeavors while slashing errors. It's reliable, performing consistently, day and night. Moreover, it's a data genius, making sense of colossal data sets, predicting trends, and enhancing decision-making. AI doesn't stop; it evolves through machine learning. But does this mean traditional outsourcing is on its way out? Not quite! 🔄 Outsourcing has evolved, too, and is continuing to do so. Instead of putting third-party outsourcing providers out of business, AI is enhancing their capabilities. Mundane tasks are automated, insights are sharper, and productivity soars. AI-powered chatbots, for instance, enhance customer service, while humans tackle complex queries. It's a win-win! 🚀 Would you agree? Why or why not? https://lnkd.in/ddY4yaj5 #AI #DigitalServices #Outsourcing #Innovation #BusinessTransformation #SoftwareDevelopment #Datrick

🌐 Businesses are reevaluating their IT outsourcing approaches. According to a recent study, nearly 70% of IT leaders are increasing their outsourcing needs. The need to digitize operations and enhance customer experiences amidst widespread budget cuts is compelling this shift. The persistent talent shortage, coupled with global political tensions, is reshaping the outsourcing landscape. With 51% of U.S. businesses currently outsourcing IT abroad, these circumstances have made IT leaders reconsider their outsourcing plans. In this evolving landscape, the cost-driven outsourcing model is shifting towards a partnership-driven model. Organizations seek vendors who act as extensions of their teams and prioritize quality over cost. How's your organization adapting to this changing landscape? https://lnkd.in/eHm7ZCj6 #ITOutsourcing #TechTrends #DigitalTransformation #IT #DevOps #SoftwareDevelopment #Datrick

🌐 Exploring IT outsourcing models? Learn which one fits your business best. When it comes to seeking external IT expertise, there's no one-size-fits-all approach. Different projects, durations, and objectives call for various IT outsourcing models. Let's dive into the four common ones: 1️⃣ Project-based model: Ideal for short-term projects with well-defined scopes, budgets, and timelines. Here, specific tasks are outsourced to achieve project goals. 2️⃣ Staff augmentation model: Need extra hands on deck temporarily or specialized skills? This model brings IT professionals to work alongside your internal team while you retain full project control. 3️⃣ Dedicated team model: For long-term, complex projects, this model assembles a dedicated outsourced team that's an extension of your internal crew. You manage tasks, and the service provider handles infrastructure. 4️⃣ Outstaffing model: When you want remote professionals to join your team, outstaffing is the way. You maintain control while tapping into specialized skills and resources. So, which IT outsourcing model aligns with your project requirements, budget, and desired level of control? Let us know ⬇️ https://lnkd.in/eeuJQimu #ITOutsourcing #TechSolutions #BusinessStrategy #DigitalTransformation #IT #Datrick