What does a data network mean? Image Source: Link In the past, organizations had also attempted to solve data access issues through either point-to-point integration or the implementation of data hubs. When data has been highly dispersed and siloed, neither option is appropriate. Point-to-point integrations incur exponentially increasing costs for each additional endpoint that must … Read more
NetApp, formerly known as Network Device Inc., is a computer technology company specializing in data storage equipment and management software. Enterprises and service providers use NetApp storage equipment to store and share vast quantities of digital information across the physiological and hybrid public clouds. NetApp’s storage hardware includes flash-only and hybrid storage processes for block, … Read more
Any production problem quickly becomes frightening when your logging infrastructure becomes overwhelmed, and you cannot generate relevant data. You should employ a buffering technique if you’re sending your logs to Logstash over Beats. The ideal strategy to implement the ELK Stack to prevent log overload is to use Kafka as a buffering across from Logstash … Read more
So far, it’s all been about the storage of data, data in flight, data from IoT devices, etc. Let’s look at some traditional data processing methods and see how they work with modern database systems. Users’ model-based enquiries are manifested in a provided by individuals that are produced when the request payloads are initiated. Combining … Read more
With a large volume of data being available rapidly in the IoT devices and Mobility era, an effective Analytics System is required. In addition, data comes from a range of sources in diverse formats, such as monitors, logs, schema from an RDBMS, etc. The development of new information has expanded dramatically in recent years. More … Read more
Apache Spark is a computational framework that can quickly handle big data sets and distribute processing duties across numerous systems, either in conjunction with other parallel processing tools. These two characteristics are critical in big data & machine learning, which necessitate vast computational capacity to process large data sets. Spark relieves developers of some of the … Read more
The open-source source Hadoop dispersed processing system’s resource planning and task scheduling mechanism is Apache Hadoop YARN. YARN is among Apache Hadoop’s main components, and it’s in charge of assigning computer resources to the many applications operating in a Hadoop cluster and scheduling tasks to run on different clusters. YARN is for Yet Another Resources … Read more
Apache Hadoop is a Java-based programming model & decentralized data processing system that is open-source and free. It helps you divide down Big Data analytics computing workloads into smaller chunks. An algorithm is used to run these tasks in parallel. But the same thing happens when a Hadoop cluster is used. A Hadoop structure is … Read more
What’s Distributed Computing and How Does It Work? Image Source: Link The practice of connecting numerous computer servers via a network into a cluster to share data and coordinate processing capacity is known as cloud applications (or distributed processing). A “distributed system” is the name given to such a cluster. Scalability (through a “scale-out design”), … Read more
AS Backup Network-Attached Storage (NAS) provides network access to storage discs. While some businesses use NAS as a data backup solution, that’s not what it was designed for. It’s critical to have a backup strategy in place with your NAS system to ensure that your data is safeguarded and how you can recover it in … Read more
