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Enterprise Cloud
XenonStack is recognized as one of the Best Data Analytics Company.A 2021 research by Clutch, a B2B review and rating platform found that Xenonstack is one of the six leading service providers in this category.
Enterprise Digital Platform
XenonStack is proud to Join The Cloud Native Computing Foundation as a Silver member.Exposure to all the Linux Foundation initiatives like conferences, summits and workshops makes us more capable of accomplishing our mission.
Observability
We are proud to announce that XenonStack is now a Kubernetes Certified Service Provider, Run by the Cloud Native Computing Foundation in collaboration with the Linux Foundation.
Introduction In the ever-shifting era of technologies where each day a new term emerges and evolves, data being generated is also increasing, and businesses are investing in technologies to capture data and capitalize on it as fast as possible. But a question arises what benefits does real-time data bring if it takes an eternity to use it. The quandary the stack faces is at roots on what to...
20 September 2021
Introduction to Data Lake A Data Lake is a secured centralized repository that stores data in its original form, ready for analysis. It uses the flat architecture to store data. It helps to break...
Data Center Migration Overview Data Center Migration is the process of deploying and migrating/relocating an existing data center from one operating environment to another without causing data...
What is AresDB? AresDB is a GPU-powered real-time query engine that improves uber’s existing solutions too. Uber Engineers developed a unified, simplified solution as AresDB. Real-time data...
What is Modern Data Warehouse? Modern Data warehouse comprised of multiple programs impervious to User. Polyglot persistence encourages the most suitable data storage technology based on data....
Introducing DataOps as a Service In the ever-shifting era of technologies where a new term emerges and evolves each day, data being generated is also increasing. Businesses are investing in data...
Introduction to DataOps Methodology DataOps Methodology is a new and independent view approach to data analytics based on the whole data life cycle. It applies to data reporting, preparation. It...
Overview of Time Series Databases A time-series database is usually put in work to deal with time-stamped data or time-series data. It is also often considered as a series of data that is studied...
What is Database-as-a-Service? DBaaS(Database as a service) is a cloud computing managed service offering model that enables users to set up, operate, manage and scale with some form of access to...
Introduction to Big Data Challenges Big Data Challenges include the best way of handling the numerous amount of data that involves the process of storing, analyzing the huge set of information on...
Introduction to GCP Data Catalog GCP Data Catalog is rapidly taking over the metadata management services, availability being on the google cloud. The google cloud platform is quite widely used...
Introducing Hadoop - Delta Lake Migration Hadoop Delta - Lake Migration is one of the fastest-growing advancements that have revolutionized IT services. It is because of their reliability and...
What is Data Modelling? Data Modelling is the process of analyzing the data objects and their relationship to the other objects. It is used to analyze the data requirements that are required for...
Introducing MDM Manufacturing Master Data Management, aka MDM, is a vital aspect to consider while managing Master Data, a consistent and uniform set of identifiers and extended attributes that...
Introduction to MDM Insurance Smart insurance firm leaders are currently seeking technology investments to establish sensible governance models that may make it easier to document and maintain...
What is Data Denormalization? Wondering what Data Denormalization means? Data Denormalization is a technique used on a previously-normalized database to increase the performance. In computing,...
Introduction to Flink CEP Flink CEP is a real-time processing framework that has the ability to process streaming data. Being founded by Data Artisans company and now developed under Apache...
What is Amundsen Lyft? Lyft Amundsen is used within the organization for searching their data. This metadata driven application helps in increasing the efficiency of data analysis by engineers...
Data Mart: What's That? Data Mart can be called as a mini Data Warehouse design that shows the contents to be needed only to the client-side, i.e. it holds the overview of the data. The primary...
What is Data Validation Testing? Data Validation testing is a process that allows the user to check that the provided data, they deal with, is valid or complete. Data Validation Testing...
Data Warehouse Modernization - Hybrid Cloud Continues to, Data Warehousing is processing for gathering and handling data from various sources to provide essential business insights. A Data...
What is the IoT Platform? Internet of Things (IoT) is connected using the Internet capable of sending the data to the Cloud. The staff in Internet of Things equipped with different sensors, which...
Supply Chain Master Data Management The efficient management of master data in a central repository provides businesses a single authoritative view of information and eliminates expensive...
What is Data Transformation? Data Transformation is the method of changing data from one order or structure into another order or arrangement. Data Transformation is crucial to actions such as...
What are Protocol Buffers? Protocol buffers language-neutral, platform-neutral extensible mechanism for serializing structured data over the network, think XML but faster, smaller and more...
Overview of Database Management The databases are infrastructure critical components of enterprise IT. Enterprises face continuing challenges in managing increasingly complex and growing data...
What is a Data Catalog? It provides a single self-service environment to the users, helping them find, understand, and trust the data source. It also helps the users to discover the new data...
Introduction to Apache Hive Apache Hive is a Hadoop component which is typically deployed by the analysts. It is a data warehouse system in an open Hadoop platform that is used for data analysis,...
Introduction to Graph Database Graph Database is simply an online database management system providing Create, Read, Update, Delete (crud) operations that expose the graph data model and is a...
What is Apache Calcite? Apache Calcite is an open source dynamic data management framework which is licensed by Apache software foundation and is written in Java programming language. Apache...
What is a Data Lake? The data lake is Storing petabytes of data on a repository system in its natural form without any transformation, analytics or any data left behind on data source. In other...
What is M3DB? As the data load increases, a need to detect fraud out of that data also increases. This problem can be solved by tracking or analyzing that data in real time. For this problem,...
What is Data Lineage? Data Lineage is defined as the life cycle of the data. Data Lineage shows the complete data flow from origin to destination. Data lineage is the process of understanding,...
What is Continuous ETL? It is a process to extract the data from Homogeneous or Heterogeneous data source then cleansed, enrich and Transform the data, Which is further Load back to Lake or Data...
Overview of Data Streaming and Analytics Real-time data streaming and analytics is the process used for analyzing the huge amount of data at the moment it is used or produced. In this, we extract...
Overview of Graph Databases Graph Databases is “a database that uses graph architecture for semantic inquiry with nodes, edges, and properties to represent and store data.” Every Graph databases...
What is Apache Arrow? Apache Arrow is a cross-language development platform for In-Memory data that specifies a standardized language-independent columnar memory format for flat and hierarchical...
What is Modern Batch Processing? Modern Batch Processing is a way to process the job in groups (known as batches), it is still alive. Modern Batch Processing technique is present since punch cards...
What is Apache Airflow? The primary use of Apache airflow is managing the workflow of a system. It is an open-source and still in the incubator stage. It was initialized in 2014 under the umbrella...
DataOps - Data Operations for Analytics DataOps, aka Data Operations, combines people, processes, and products that enable consistent, automated, and secure data management. It is a delivery...
What is Marmaray? Marmaray is an Open source, Data Ingestion and dispersal framework and library for Apache Hadoop, build on the top of the Hadoop ecosystem. Users ingest data from any source and...
What is Apache Gobblin? Apache Gobblin is a unified data ingestion framework for extracting, transforming and loading a large volume of data from a variety of data sources. It can ingest data from...
What is Apache Hadoop? Apache Hadoop is a framework for storing large Data in distributed mode and distributed processing on that large datasets. It scales from a single server to thousands of...
What is Apache Hadoop? Apache Hadoop is a framework that allows storing large Data in distributed mode and allows for the distributed processing on that large datasets. It designs such a way that...
What is Hadoop Storage Format? A storage format defines how information stored in a file or database. The extension of the file indicates this. Different data/file formats used by different Big...
What is Test Data ? Test data is the data used to test the software application. Example: For test the login functionality, username, and passwords required. So the values of username and password...
