Data storage has become a crucial element for the continuity of business operations in the modern era. Many companies still face challenges in determining a secure place to store data, especially with the rapid growth in the volume of digital information.

Like real-time analytics, the process of analyzing data in real-time, as soon as it is collected or received, without significant delay. There is also financial processing & analysis which involves collecting, managing, and analyzing financial data to help companies make better decisions regarding fund management, budgeting, investments, and monitoring financial performance.

If data is not managed properly, the risk of losing valuable information and operational disruptions increases and companies often face economic pressures that force them to rethink their operational strategies. One of the most common tactics is downsizing to cut costs and increase profits.

Therefore, the best solution is to understand the various types technologies of data storage that suit the needs of the business, which will ultimately help increase productivity.

How to solve this problem?

As IT consultants, we recognize that the rise of automation and AI allows companies to maintain, or even increase, productivity with fewer employees. For example, tasks such as software testing, data analysis, adding data storage and customer support can now be handled more efficiently by machines. Therefore, we recommend using WEKA to solve all of these problems.

WEKA is data platform was purpose-built to seamlessly and sustainably deliver speed, simplicity, and scale that meets the needs of modern enterprises and research organizations without compromise. Its advanced, software-defined architecture supports next-generation workloads in virtually any location with cloud simplicity and on-premises performance.

Features provided by WEKA :

• Real-time Analytics: Tools for processing and analyzing live data streams for immediate insights.
• Financial Processing & Analysis : Increasing profitability for financial trading, Reducing fraud, reducing risk, improving business performance through predictive / prescriptive analytics.
• Fraud Detection : Advanced algorithms and AI to identify and mitigate fraudulent activities.
• Geospatial Research : Ensuring compliance, and ethical AI use, addressing new risks from generative AI, adapting to rapidly evolving regulations.
• HPC : Increasing national security, discovering & maximizing profitability from oil & gas reservoirs, manufacturing safer, greener & more profitable products
• Microscopy : IT integration in scientific research for detailed imaging and analysis.
• Life Sciences : Accelerating drug & vaccine discovery, Accelerating precision medicine, More accurately detecting diseases, Improving healthcare services.
• Imaging Device : Support for devices that generate large volumes of image data.

After seeing the various features provided by WEKA, maybe you are now starting to be interested in features that can help your company’s problems regarding data storage and others. For more details about WEKA, here are three use cases from WEKA.

1. Media Surveillance / Media Assets Managements

Challenge

• increasing Consumer and Resolution Demands: 4k videos the norm and 8k soon to be 9GB file vs 300GB file – 1000 stream view  =  314GByte/s *
• Require Massive Capacity & Performance without Operational Compromise: No downtime to streaming, no lag in performance as it impacts ingest & service.
• Operational Cost: Legacy architectures require DAS with NVMe Drives or Multi-Silos leading to increase complexity.

How Weka Helps

• Any workload without tuning: Handles large video files with massive performance as well as related small metadata on the same  platform, without tuning.
• Support Scaling Up or Out with no compromise: Ability to scale  more capacity on the same nodes as required, or more performance through adding nodes.
• Central Management & Cost efficiency: Centrally manage,provision, operate as a single pool of capacity and non disruptively upgrade. Tiering to move videos which are less active to cost effective storage.

2. Hadoop (& on K8s)

Challenge

• Drive towards Big Data on K8s: Complexity in managing large scale stateful data with protection, mobility, DR, with performance on K8s.
• Optimizing use of GPU driven Big Data: Feeding enough data quickly to GPUs in large-scale AI/ML applications and MLOps platforms.
• Consistency of Data Cross Platform: Deployments may span different Platforms (on VM, On-Prem, K8s, and more) – challenged to work on same dataset cross environments.

How Weka Helps

• Advanced data management – snapshots, full copy, and tiering, ensuring data protection, disaster recovery, and seamless data mobility across hybrid and multi-cloud environments.
• Delivers superior performance, surpassing local NVMe flash, and efficiently scales for large-scale analytics and AI/ML workloads and makes it simple to operate and manage.
• Integrates seamlessly with existing Hadoop and Spark environments, supporting hybrid workflows that leverage both on- premises data and cloud resources for compute.

3. AIOps & MLOps

Challenge

• Data Management and Scalability: AIOps and MLOps involve managing and processing large volumes of complex data, leading to silos, fragmentation, inconsistency, complex data pipelines.
• Complexity of Integration and Deployment: Many different systems and architectures leading to complex integration points. Challenging to allow teams to work on same massive datasets.
• Performance and Latency Optimization: High performance and low latency at scale is critical for AI/ML workloads in both AIOps and  MLOps to ensure real-time processing of any data is not disrupted.

How Weka Helps

• Eliminates silos and enables seamless data sharing across environments. WekaFS distributed file system is optimized for performance at scale, allowing efficient processing of large AI/ML  datasets.
• Streamlines the deployment and integration of ML models by providing a consistent data layer from development to production and integrates with tools via any protocol and supports hybrid and multi-cloud deployments.
• Provides extreme low latency at lighting performance at scale for any workload and data type and enable Core/Edge processing.

Conclusion

WEKA is a company that provides a modern file system-based data storage software solution, data platform delivers uncompromising speed, simplicity, scale, and sustainability.

WEKA helps data-driven organizations seamlessly and sustainably store, process, and manage data virtually anywhere with cloud simplicity and on-prem performance. Our software-defined, AI native data platform turns stagnant data silos into streaming data pipelines that fuel next-generation workloads like AI and HPC.

Interested in more information about WEKA? Consult its use with IT consultant Sapta Tunas Teknologi, get the best solutions and also attractive offers from us. In addition to being safe and reliable, Sapta Tunas Teknologi is ready to help and provide the best support services, one solution for your company’s various needs to become more developed.

Why STT?

Sapta Tunas Teknologi (STT) has a high commitment to helping customers achieve organizational goals and design information technology (IT) solutions according to customer needs that follow the development of technology trends in the current market.

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