Big Data is a larger subject matter that contains greater variety, arriving in increasing volumes and with more velocity. The concept portrays three Vs: Volume, Velocity, and Variety. It is a large volume of Structured the Un-Structured data from many sources such as Databases, flat files, Images, Videos etc.
In layman’s language, big data is more extensive and complex data sets, especially from new data sources. Big Data can be addressed to solve gigantic business problems you need to tackle. However, it requires frequent testing to operate efficiently.
The testing strategy in Big Data is required in many areas. There are various types of Testing in Big Data projects, such as Database Testing, Infrastructure Testing, Performance Testing and Functional Testing.
In this, data is collected from multiple sources such as CSV, sensors, logs, social media, etc. and further stored in HDFS. The primary motive here is to verify that the is adequately extracted and correctly loaded into the Storage system. Ensuring that the data properly ingests according to the defined schema and must verify that there is no data corruption is the paramount priority of the tester.
Out Primary focus is on aggregate data. Whenever the ingested data processes, validate whether the business logic is implemented correctly or not. And further, validate it by comparing the output files with the input files.
The output is stored in HDFS or any other warehouse. The tester verifies the output data is correctly loaded into the warehouse by comparing the output data with the warehouse data.
Majorly, the need for Data Migration is only when an application is moved to a different server or if there is any technology change. So basically, data migration is a process where the entire data of the user is migrated from the old system to the new system. Data Migration testing is a process of migration from the old system to the new system with minimal downtime, with no data loss. For smooth migration (elimination of defects), it is essential to carry out Data Migration testing. There are different phases of migration test –
In this phase, the scope of the data sets and what data is included and excluded. Many tables, counts of data and records are noted down.
This is the actual migration of the application. In this phase, all the hardware and software configurations are checked adequately according to the new system. Moreover, it verifies the connectivity between all the components of the application.
In this phase, check whether all the data migrated or not in the new application and whether there is any data loss or any functionality changed or not.
All the applications involve the processing of significant data in a very short interval of time, due to which there is a requirement for vast computing resources. And for such types of projects, architecture also plays an important role here. Any architecture issue can lead to performance bottlenecks in the process. So it is necessary to use Performance Testing to avoid bottlenecks. Following are some points on which Performance Testing is majorly focused:
In this area, the rate at which the data is consumed from different sources and the rate at which the data created in the data store are observed.
Canarys has a unique approach to adopting Big Data and Analytics test strategy. For data-driven businesses, Canarys Big Data & Analytics services aid in the development of intelligent solutions. We support true “Data Democracy” and offer solutions for data management, business intelligence, visualisation techniques, advanced analytics, and artificial intelligence based on the “Intelligence-First” principle.
Organisations utilise Canary’s big data and analytics services to operate with large amounts of multi-structured data, including structured, semi-structured, and unstructured data.
With industry-specific subject matter expertise in diverse industry verticals, the company helps businesses store, manage, and commercialise data with helpful insights. Canarys provides solutions for the entire data lifecycle, thanks to strategic planning, approach, techniques, and background in the cloud, data storage, and data management environments.
With the help of our big data and analytics services at Canarys, organisations can enhance huge, diverse data frames to identify particular patterns, connect data points, and discover untapped insights. Canarys enables businesses to scale to a better level with its most common uses in customer behaviour data analysis, predictive analytics, and AI/machine learning-enabled forensic data research.
We discovered that the majority of customers today are assembling the process of building a data processing engine for their different data processing requirements. In light of this, our experts strive to address their complex and advanced needs using our impactful Big Data assurance and analytics solutions.
Here is a quick synopsis of what value Canarys can add to your enterprise business ecosystem.
Let our tech-savvy brains create practical solutions to your business data requirements. By utilising the most cutting-edge advanced technologies, we can assist you in implementing analytics across your entire organisation to expand, safeguard, and optimise your business.