Technical Articles

An in-memory database (IMDB) is a type of database system that stores data in the main memory.

A data sink is a data storage system that is designed to receive data from a variety of sources.

Distributed systems pose some challenges regarding design, operations, and maintenance.

Streaming latency is the amount of time it takes for data to be transmitted from its source to its destination in a streaming system.

Edge computing can provide an effective solution for fraud detection and prevention in eCommerce.

The Global Data Network or GDN offers dynamic content as a combination of a streaming data processing and NoSQL databases with minimal latency across the globe.

Edge Artificial Intelligence processes ML and AI algorithms on edge devices with the lowest possible latency.

Telecommunication, internet, and edge network service providers often use geo-distributed PoPs for instant access to other networks with low latency.

As 5G networks continue to be built out, new use cases are emerging that require emerging technologies like mMTC and URLLC.

The BASE is typically a multi-model database that focuses on high availability, horizontal scale, as well as fault tolerance instead of consistency.

In the logistics industry, data enrichment plays a crucial role in optimizing supply chain operations and improving overall efficiency

AWS Lambda decouples a developer from responsibilities related to servers such as provisioning, logging, set up, scaling, operating, and monitoring.

Dynamic pricing is made possible through the use of advanced analytics and algorithms that analyze large amounts of data in real-time.

Big data sets have high volume, velocity, and variety characteristics that require specific technology and analytical methods beyond traditional data processing

Enhance website performance: Optimize through performance, speed, load, and stress tests. Handle spikes and ensure seamless operation.

Watch parties have emerged as a popular social experience in the realm of streaming content.

A distributed database is a database that is spread across multiple nodes or points of presence, rather than being located on a single centralized cloud.

CDC is widely used in e-commerce to track changes in product information, pricing, inventory, and customer data.

Personalization and adaption of the content rely upon the user’s request data, and the content delivered adjusts according to retrieved data from the user.

AR and VR technologies can transform the way that customers interact with products and services, enhancing the overall customer experience.

Dynamic and customized front pages have become increasingly important in the eCommerce world in recent years.

A Data Mesh is a decentralized approach to data management that emphasizes the importance of domain-driven decentralized data ownership and architecture.

Predictive maintenance is a data-driven approach that uses machine learning and analytics to predict when equipment failures are likely to occur.

PII stands for Personally Identifiable Information, which refers to any information that can be used to identify an individual.

Predictive analytics is the use of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes.

In logistics, CDC helps companies track inventory and shipments, manage supply chain logistics, and keep all stakeholders informed in real-time.

Cloudflare workers are serverless functions written in JavaScript, deployed & distributed across an edge network, leveraging developers with minimal latency.

An anonymizer removes or alters PII from data so that it cannot be traced back to an individual.

OTT video streaming platforms can personalize their offerings with geotargeting and help ensure compliance with regional regulations with geofencing.

In this article, we will explore the different types of search, including exact value matching, prefix matching, full-text token, and more.

An eCommerce hub is a centralized platform that serves as the primary point of management for all eCommerce-related activities of a business.

Serverless computing allows easier deployments and maintenance, cost effectiveness, automated scalability, and function as a service.

Explore good & bad bots' impact on traffic, SEO. Virtual waiting rooms deter bad bots, conserve resources; prerendering enhances good bot experience.

In this article, we will explore the basics of data streaming and its importance in our increasingly data-driven world.

Website optimization is the process of improving the performance and effectiveness of a website in order to enhance its ability to attract and retain visitors.

Deep learning is comprised of artificial neural networks entirely based on learning and making improvements by adopting a set of data to train itself.

OWASP provides open-source tools, resources, and training which can be used to improve the security of online applications.

Query optimization refers to the process of improving the performance of a database query by optimizing the execution plan of the query.

Change Data Capture (CDC) technology has become increasingly important in gaming, particularly in online gaming where real-time data is critical.

Representational State Transfer or RESTful API is a stateless architectural web transport protocol to share data between web applications or services

Ad performance refers to the effectiveness of an advertising campaign, measured by the response or engagement of the target audience.

Data is essential & provides valuable business insights. There are different kinds of data generated by a range of data sources-structured and unstructured data

Data integration and data synchronization are both essential components of modern data management.

Explore the four phases of the eCommerce customer journey and the role of real-time data, analytics, and AI in enhancing each phase.

Data ingestion is the process of collecting and importing data from various sources into a system for further processing and analysis.

Content personalization is the process of tailoring content to the specific needs and preferences of individual users.

Ad cohorts are a powerful tool for optimizing ad performance that target specific groups of people who share similar characteristics.

Operational and transactional data are two types of data that businesses collect and use to manage their operations and analyze their performance.

To provide a seamless and personalized experience, it is essential for OTT video services to offer subscription-based entitlement and multi-lingual support.

In the age of big data, events have become a critical source of information for businesses across a wide range of industries.

Eliciting emotional responses through data-driven personalization is key for eCommerce success. Tailoring experiences to consumer emotions drives sales.

GraphQL is a query language for retrieving desired information from APIs. It was created as a solution to problems in standard architectural styles such as REST

Learn about OTT advertising, the importance of ad cohorts, and performance metrics.

Distributed systems contain computers, servers, computational resources, phones, PCs, IoT devices e.g. smart tv and cameras that communicate with each other.

Low code development is a software development approach that emphasizes visual, drag-and-drop tools.

Resource optimization is the process of maximizing the utilization of resources, such as hardware and software.

A messaging queue acts as an asynchronous temporary storage for messages.

Data federation is the process of combining data from multiple sources into a single virtual view, without the need to physically move or replicate the data.

Increasing website performance is crucial for any business looking to succeed online.

Edge computing and hyper distributed cloud platforms can reduce latency and improve user experience by bringing processing data closer to the end user.

Universal peer-to-peer messaging is a communication system that allows devices to communicate directly with each other.

Rate parity refers to the practice of maintaining consistent rates for a specific room type across all distribution channels.

Search is one of the most important tools that eCommerce companies have to help customers find the products they're looking for.

AI consists of a problem, theory, algorithm, & practical demonstration. ML is a type of AI used for machines that make decisions based on experience.

Authentication is classified into three categories like Knowledge-based, Possession, and Inherence factor.

Queries are one of the fundamental concepts in computer programming and database management.

A digital twin comprises of virtual model to precisely predict or reflect a physical object, typically focused on maintenance, operation, or product design.

Financial services customers expect seamless, personalized experiences across multiple channels, from mobile apps to social media.

A dynamic and customized front page is a web page that is personalized and optimized based on the user's preferences and behaviors.

Visitor segmentation is the process of dividing a website's audience into distinct groups based on their behavior and characteristics.

Supply forecasting is the process of predicting future demand for goods or services and planning the necessary production, procurement, and distribution.

Learn how OTT streaming services make money and the differences between subscription-based, advertising-based, and free ad-supported services.

Cohort analysis is a powerful tool for eCommerce businesses to understand customer behavior.

An API endpoint lies at one end which receives, processes requests from an application and then sends the information requested.

By understanding your customers' needs, preferences, and behaviors, you can deliver personalized experiences that increase engagement and retention.

Full-Text Search is a powerful search technology that enables users to search for specific words or phrases within a document, database, or website.

Edge functions are a type of serverless computing that enables developers to run code at the edge of the network, closer to the end-users.

There are two types of latency: A one-way transmission or round trip, depending on the use case.

Inventory optimization is the process of balancing supply and demand to ensure that the right products are available at the right time.

Graph databases can detect fraud by analyzing large volumes of data and identifying patterns and connections between seemingly unrelated data points.

Understanding the performance metrics specific to OTT advertising is crucial for advertisers and OTT providers to gauge the effectiveness of their ads.

Data stores, also known as databases, are software systems designed to store, manage, and organize data.

A data lake stores, manages, and secures raw or unprocessed data in one place. Data is generally in multiple different formats & obtained from various sources.

Data platforms are software or hardware systems that are designed to collect, store, process, and analyze data from various sources.

To be useful, machine learning should provide accurate, low cost, and low latency results. A distributed edge network might be the optimal technique.

Distributed databases synchronize over many network nodes in different regions, but are shown as a single database, sharing data across multiple sites.

With DBaaS, the cloud provider is responsible for managing essential tasks, including infrastructure setup, OS & software updates, backups, & disaster recovery

Edge computing can provide real-time data processing, reduced latency, and optimized resource allocation for Supply Chain Management.

In this article, we'll explore what caching, edge caching, and edge analytics are, and how they help businesses make the most of their data.

Static content includes documents, style sheets, images, videos, html and scripts, etc. which are resistant to changes and are shared with every user as-is.

Unlike SQL databases where data is organized in rows & tables, a graph database has nodes or entities connected to each other based on their relationships.

Retailers are turning to unified eCommerce, a strategy that seeks to create a seamless shopping experience across all channels.

ETL, extract, transform, and load, is a workflow designed to shift data from a source to a destination while undergoing changes through the process.

There are various types of authentication methods available, each with its own advantages and disadvantages.

Financial institutions can now leverage real-time analytics and machine learning to detect and prevent fraud at the edge

Data replication is the process of copying data from one database or system to another.

Collections are a fundamental concept in document-oriented databases

Simple Object Access Protocol (SOAP) is a protocol used to establish communications between distributed elements of different applications via an XML schema.

Data provenance refers to the history or lineage of a piece of data, documenting its origins, movements, and transformations.

Smart promotions and personalized push notifications help engage customers in the acquisition/consideration and conversion/purchase stages.

Carbon conscious computing refers to the concept of designing and operating computer systems in a way that minimizes their carbon footprint.

Data compliance refers to the ability of an organization to adhere to regulations and standards related to the collection, storage, use, and sharing of data.

The metaverse is a term used to describe a virtual universe that is a collective shared space where people can interact.

Batch processing allows high-volume data to be processed efficiently, performing large-scale sorting, parsing, counting & gathering information, in parallel.

Publisher/subscriber architecture (pub/sub) allows asynchronous streaming based on message queues. Modular, robust, and low latency with a backlog of messages.

Data consolidation is the process of combining data from multiple sources into a single, unified view.

Change data capture (CDC) is important in the financial services industry, where the timely and accurate processing of data can make all the difference.

Machine learning reduces the workload of security analysts by flagging behavioral anomalies like malicious programs and spam across different platforms.

Stream processing is a powerful technique used to accelerate data enrichment, particularly in the context of big data applications.

Data deduplication is the process of identifying and eliminating duplicate data in a dataset.

Real-time data is available as it is created whereas streaming data specifies uninterrupted ingestion of data without any response time requirement.

Security tokens authenticate users & authorize access to privileged digital resources or assets, commonly used for multi factor authentication (MFA)

Coupon fraud costs are significant. Digital fingerprinting protects against this threat by identifying fraudster devices and bot activity in real time.

An eCommerce customer funnel is a model that tracks the stages a customer goes through when purchasing a product or service.

WIth microservices, applications are built as a collection of small, independently deployable services.

Media companies can monetize their content by leveraging real-time data to inform content creation and distribution.

Schema evolution is the process of modifying the structure of a database schema over time as new requirements and data models emerge.

Data partitioning is a technique used in database management to divide large datasets into smaller, more manageable partitions or subsets.

Video streaming is dependent on the data that is being processed at the delivery network and the server, impacting directly the playback quality.

Product discovery refers to the process by which customers find and choose products to purchase.

A document database is a type of NoSQL database widely used to store & manage semi-structured data with diverse attributes.

In this article, we will explore the key advantages of APIs.

Operational data is critical in gaming and eSports, as it provides insights into player behavior, game performance, and the overall user experience

Augmented Reality (AR) and Virtual Reality (VR) technologies have been making waves in various industries, including travel, hospitality, and logistics.

Edge analytics is a method of data analysis that involves processing data at the edge of a network, close to where it's generated.

In today's digital world, website performance and user experience are critical for businesses to remain competitive.

Learn about the concept of illegal streaming its potential impact on your business and effective strategies to prevent it using Digital Rights Management (DRM).

Smart stores are transforming the retail industry with AI, AR, VR, and IoT to create personalized and immersive shopping experiences for customers.

Search Engine Optimization (SEO) is the practice of optimizing your website to rank higher in search engine results pages.

Polyglot persistence and multi-model databases allow an application to take advantage of multiple data models, allowing it to scale when the user base grows.

Clickstream analysis is the process of analyzing user behavior on websites, mobile apps, and other digital platforms.

Uncover the menace of DDoS attacks: motives, methods, and defenses. Explore the power of the virtual waiting room as the frontline shield.

Video analytics is the process of extracting meaningful insights from video data through the use of algorithms and artificial intelligence.

Explore the key technology components that accelerate omnichannel experiences and the role of hyper distributed cloud.

This article describes the differences between these common cloud computing models - multicloud and poly cloud.

Data profiling is the process of examining and analyzing data from various sources to understand its structure, quality, and overall value.

Discovery-based shopping is becoming an increasingly popular way for consumers to find and purchase products.

A/B testing is a powerful method used by businesses to test and compare two different versions of a marketing initiative.

A booking engine is a software application that enables customers to book travel services, such as hotel rooms, flights, rental cars, and activities, online.

Functions are snippets of code that accomplish a task in response to events. FaaS is a platform that allows enterprises to deploy these functions.

Golden Signals guide SREs: latency, traffic, errors, saturation.

Systems are susceptible to attacks. The complexities of securing fintech systems have increased with digitization of currency, stocks, trading, etc.

Multimedia storytelling is a powerful way for media companies to engage audiences and convey complex ideas.

While centralized cloud and data center models have been around for a while, a new approach to cloud computing is gaining traction: the hyper distributed cloud.

A data connector is a software component or tool that allows different applications or systems to exchange data with each other.

Ensure that the database can continue to perform well as the business expands.

Amid surges in online traffic, virtual waiting rooms prevent crashes, ensure reliability, and enhance user experiences across sectors.

Price optimization is the process of determining the optimal price for a product or service to maximize profits while also providing value to customers.

Data enrichment is important for streaming media services and advertisers who are looking to maximize their ROI in online advertising.

APIs can address many of the challenges in the eCommerce landscape like data integration and scalability.

Machine learning pipelines are an essential component of the modern data analytics ecosystem.

Security Assertion Markup Language (SAML) provides a way to secure such credentials i.e., passwords using SSO or Single Sign-On technology.

Data fabric is a unified management architecture automating data access, governance, & data integration, providing real-time data for analytic and AI engines.

A control tower view is a real-time perspective on logistics operations that provides a comprehensive, centralized view of logistics processes.

In this article, we'll explore what ad viewability is, why it matters, and how to improve ad performance through better viewability.

Geo-pinning data, also known as geo-tagging, is the process of associating geographical location information with data or content.

Search in place or "search without data movement" is a technique that allows you to search and analyze data where it is stored.

Data virtualization is a technology that allows users to access and manipulate data from various sources as if it were stored in a single location.

Information about events, such as the time, nature, and initiator, can be very useful for yielding business intelligence.

A key value store’s simple and flexible architecture allows it to scale more easily and have better response times than a traditional RDBMS or SQL database.

Real-time machine learning is implemented through an event-driven architecture instead of request-driven, injecting streaming data into the training model.

An autonomous network refers to a communication network that can operate and optimize itself without human intervention.

Real-time data processing, integration, and analytics are crucial for businesses to stay ahead of the competition.

Learn how real-time data enables personalization in eCommerce.

Conversion marketing involves understanding the customer journey and making changes to the website design and user experience to improve results.

A personalization engine uses data and algorithms to analyze customer behavior, preferences, and interests, and deliver personalized experiences in real-time.

Real-time analytical technologies yield actionable intelligence to overcome potential security threats and improve real-time performance.

Ad insertion is a key technology that allows video publishers to monetize their content effectively.

Product analytics is particularly important for eCommerce websites as it can help improve the performance of the website.

CDC or Change Data Capture allows database systems to communicate and synchronize data records across all storage points including data warehouses and lakes.

Dynamic packaging is a technique used in the travel industry to create customized travel packages for customers.

Recommendation engines are powerful tools for improving user experience, engagement, and revenue in various industries.

ACID (Atomicity, Consistency, Isolation, and Durability) is a set of principles that add security, reliability, persistence, consistency and data integrity.

With the rise of advanced technologies such as artificial intelligence, machine learning, and robotics, many factories have become fully automated.

Performance tuning is the process of optimizing the performance of a system or application to improve its speed, efficiency, and responsiveness.

Real-time inventory tracking is the process of monitoring and updating inventory levels instantly - or in real time

Logistics automation is the use of technology to automate and streamline supply chain management processes.

Learn more about data orchestration and its use cases.

Explore the differences between social proof and sentiment analysis and how they can be used to improve customer satisfaction.

A headless CMS is a content management system that separates the content creation and storage from the presentation layer.

Stream analytics is the process of analyzing real-time data as it is generated, also known as streaming data.