Simform’s Post

"🚀 Exciting Milestone Alert! 🌟 We're thrilled to announce our partnership with DDC Cabinet Technology! This game-changing collaboration is set to revolutionize our eastern Pennsylvania data center with High-Density Colocation. Get ready for unparalleled support in the explosive growth of cloud solutions, particularly for machine learning and AI. Dive into the future with us! #Partnership #DataCenter #CloudSolutions #MachineLearning #AI"

As a data engineer grown up in the Big Data era, I've been enjoying horizontal scaling in both automated and manual forms for years. Turns out, mainly thanks to Kuberntes, it's now possible to automatically scale the workloads vertically! The operation is possible thanks to Vertical Pod Autoscaler relying on 3 components: Recommender, Updater and Admission controller. Each of them has its own scope of responsibility, going from analyzing hardware metrics to resizing pods. If you are running your data processing jobs on the cloud, there is good news. AWS EMR on EKS and GCP Dataflow Prime support the vertical autoscaling natively. The quick introduction in the blog post below: https://lnkd.in/eDEpnMVZ  Happy reading! #dataengineering #aws #gcp Bartosz.

Top Cloud Providers for Data Engineering Workflow Data engineering forms the foundation of successful data-driven operations. Cloud computing has revolutionized how businesses manage and scale their data infrastructure. Many cloud providers are offering specialized services, so it's important to choose the right platform for your data engineering needs. Let us explore the top cloud providers that empower data engineers to efficiently process, transform, and manage their data. #dataengineering #data #dataanalytics #dataanalysis #analytics #datavalley #datascience #datavisualization #googlecloud #aws #awscloud #azure #cloud #cloudcomputing #bigdata Follow Datavalley.AI for more useful contents.

Ever seen a processor throw a punch? Well, you’re about to! Check out the ultimate cage fight where AWS Graviton and x86 processors duke it out over computing costs. Spoiler alert: it's a battle of brains, not brawn! Curious to see who lands the knockout? Read our blog to find out: https://loom.ly/XjOSBeY . . . #Qubole #ADHOCanalytics #AI #Airflow #AmazonRedshift #ApacheSpark #AutomatedCluster #AutoScale #AWS #BigData #BigDataPipeline #BigDataPlatform #Cloud #CloudDataLake #CloudElasticity #CloudPlatform #CloudServices #DataAnalytics #DataArchitecture #DataCompliance #DataEngineering #DataHub #DataIngestion #DataLake #DataPlatform #DataProcessing #DataProcessingPlatform #DataScience #DataSecurity #DataWarehouse

Just wrapped up the Google Cloud Skills Boost course on "Building Batch Data Pipelines on Google Cloud." As someone who works extensively with data, it was a great refresher on the fundamentals and a chance to dive deeper into Google Cloud's robust toolset for building efficient and scalable pipelines. This course reinforced a key principle that I believe is crucial for anyone working with data: the critical role of strong data engineering in enabling successful AI and machine learning initiatives. With this renewed knowledge, I'm excited to continue driving impactful data-driven projects and exploring the ever-evolving possibilities in the field of data engineering. #GoogleCloud #DataEngineering #DataPipelines #CloudComputing

Google unveils 6th generation TPU 'Trillium', supporting Google Cloud AI with 4.7x better performance and 67% more energy efficiency per chip than TPU v5e Tensor Processing Units (TPUs) are application specific integrated circuits (ASICs) designed by Google to accelerate machine learning workloads. Cloud TPU is a Google Cloud service that makes TPUs available as a scalable resource. TPUs are designed to perform matrix operations quickly making them ideal for machine learning workloads. You can run machine learning workloads on TPUs using frameworks such as TensorFlow, Pytorch, and JAX. https://lnkd.in/gckZ7k7h

If you build it they will come… Oracle is embarking on aggressive growth: Expanding to 66 data centers to bring the total to 100 between private and public DCs Increasing capacity for GPU hungry AI businesses Activating 20 Azure data center to meet customers demand of seamless multicloud. #cloud #artificialintelligence #AI #azure

If you build it they will come… Oracle is embarking on aggressive growth: Expanding to 66 data centers to bring the total to 100 between private and public DCs Increasing capacity for GPU hungry AI businesses Activating 20 Azure data center to meet customers demand of seamless multicloud. #cloud #artificialintelligence #AI #azure

Empowering Data Excellence with Microsoft Azure Cloud! 🚀 Excited to share my journey in building an end-to-end data engineering project on Azure. From data ingestion to processing and analytics, Azure's robust tools and services have paved the way for seamless integration and powerful insights. #AzureDataEngineering #CloudComputing #DataAnalytics #AzureInnovation #TechJourney

Get a sneak peek into a Google Cloud TPU Data Center ☁ Ever wondered how some of the world's largest AI workloads are running? 🏃♂️ 💨 Take an inside look at the components of the TPU system, including data center networking and water cooling systems. Products like Google Search and Photos leverage Cloud TPU, which are purpose-build to bring cost-efficiency and performance for large-scale training and inference. And the best part of it: Customers of Google Cloud can take advantage of it. TPU v5e offers integration with Google Kubernetes Engine (#GKE), #Vertex AI, and leading frameworks such as Pytorch, JAX and TensorFlow so you can get started with easy-to-use, familiar interfaces. #GoogleCloud #Cloud #Google #Next23