Ahmar Anees’ Post

Following our recent webinar about high availlability clusters, check out our latest blog post: "Raising Data Availability with xiRAID and Pacemaker. Part 1". Learn about high availability clusters, challenges faced by clustered storage systems, and how xiRAID 4.1 supports High Availability clusters and safeguards the data. Read the full post here: https://lnkd.in/ek9ArRaq #HighAvailability #xiRAID #Pacemaker

💼 Case Study Alert: Via's journey with #Coralogix! Learn how they reduced reliance on hot storage by 55% and seamlessly integrated open-source #observability tools. #OpenSourceTechnology Interested to learn more? Book a demo here with our professionals: https://bit.ly/48iOCWv .

Cloudian Inc's HyperStore is Biomodal ↔️ With most storage systems, the SMB/NFS group would not be able to share data with the S3 API group. But wouldn’t it be great if your file and object data could seamlessly integrate across your mixed protocol environment, so that everyone could access all of the data, regardless of its format? Bimodal access enables users to work with files and objects interchangeably 💫 within the same environment, bridging the gap between different types of data storage and access methods.  Learn more 👉 https://lnkd.in/gnbygt6M #Cloudian #FileStorage #ObjectStorage #S3Storage #DataStorage #EnterpriseIT

Cloudian Inc's HyperStore is Biomodal ↔️ With most storage systems, the SMB/NFS group would not be able to share data with the S3 API group. But wouldn’t it be great if your file and object data could seamlessly integrate across your mixed protocol environment, so that everyone could access all of the data, regardless of its format? Bimodal access enables users to work with files and objects interchangeably 💫 within the same environment, bridging the gap between different types of data storage and access methods.  Learn more 👉 https://lnkd.in/gh52quhv #Cloudian #FileStorage #ObjectStorage #S3Storage #DataStorage #EnterpriseIT

Cloudian Inc's HyperStore is Biomodal ↔️ With most storage systems, the SMB/NFS group would not be able to share data with the S3 API group. But wouldn’t it be great if your file and object data could seamlessly integrate across your mixed protocol environment, so that everyone could access all of the data, regardless of its format? Bimodal access enables users to work with files and objects interchangeably 💫 within the same environment, bridging the gap between different types of data storage and access methods.  Learn more 👉 https://lnkd.in/gFrDCKH7 #Cloudian #FileStorage #ObjectStorage #S3Storage #DataStorage #EnterpriseIT

Cloudian Inc's HyperStore is Biomodal ↔️ With most storage systems, the SMB/NFS group would not be able to share data with the S3 API group. But wouldn’t it be great if your file and object data could seamlessly integrate across your mixed protocol environment, so that everyone could access all of the data, regardless of its format? Bimodal access enables users to work with files and objects interchangeably 💫 within the same environment, bridging the gap between different types of data storage and access methods.  Learn more 👉 https://lnkd.in/guKggFbK #Cloudian #FileStorage #ObjectStorage #S3Storage #DataStorage #EnterpriseIT

Understanding the difference between narrow and wide transformations in RDD operations is key to optimizing performance in distributed computing. Narrow transformations, such as map(), filter(), and flatMap(), operate within a single partition of the parent RDD, making them efficient as there is no need for data shuffling. On the other hand, wide transformations like groupBy(), reduceByKey(), and join() involve shuffling data across partitions or nodes, making them more expensive due to network and disk I/O operations. Being mindful of when to use each type of transformation can significantly impact the efficiency and speed of RDD computations. #DataScience #BigData #ApacheSpark

Day 239 of the #365GenAIChallenge! 📅 Our spotlighted VectorDB today is... LanceDB! 🗡️ LanceDB is an open-source vector database optimized for ML workloads, enabling efficient storage, retrieval, filtering, and management of embeddings with persistent storage. It features production-scale vector search, multimodal data support, SQL querying, and ecosystem integrations like LangChain and LlamaIndex, all powered by a Rust-based core and the Lance columnar format.

💼 Case Study Alert: Via's journey with #Coralogix! Learn how they reduced reliance on hot storage by 55% and seamlessly integrated open-source #observability tools. #OpenSourceTechnology Interested to learn more? Book a demo here with our professionals: https://bit.ly/48iOCWv .

The latest update for #VictoriaMetrics includes "VictoriaMetrics Efficiently Simplifies Log Complexity with VictoriaLogs" and "VictoriaMetrics Anomaly Detection: What's New in Q3 2024?". #DevOps #TimeSeries #OpenSource https://lnkd.in/dHMySpGx