IoT

Artificial intelligence (AI) is designed to mimic human cognitive abilities, with many of its applications inspired by our five senses  — sight, hearing, touch, taste, and smell. In AI, vision corresponds to computer vision, enabling machines to interpret images and videos. Hearing is replicated by natural language processing (NLP) and…

The quantity of data generated per second is astonishing in today's digital world. Big data allows organizations and businesses to create new products and services, enabling them to make decisions and enhance customer experiences.  However, processing and analyzing large volumes of data can be quite challenging. This is where cloud…

Every data-driven organization has operational and analytical workloads. A best-of-breed approach emerges with various data platforms, including data streaming, data lake, data warehouse and lakehouse solutions, and cloud services. An open table format framework like Apache Iceberg is essential in the enterprise architecture to ensure reliable data management and sharing, seamless…

Encryption is one of the most effective data security strategies, alongside access control, software updates, and network segmentation. However, adding encryption to an existing tech stack can be challenging. Data pipelines aren’t typically designed to handle encryption and decryption, leading to additional migration work, operational complexity, and higher compute costs….

The Apache Flink Managed Service in AWS, offered through Amazon Kinesis data analytics for Apache Flink, allows developers to run Flink-based stream processing applications without the complexities of managing the underlying infrastructure. This fully managed service simplifies the deployment, scaling, and operation of real-time data processing pipelines, enabling users to…

In today’s world where data drives everything, managing large-scale databases and their security is both a necessity and a challenge. A few factors that organizations consider when choosing databases are primary are its cost, flexibility, and support from hosting providers. An open-source database is your best bet for many reasons….

It's no secret that traditional large language models (LLMs) often hallucinate — generate incorrect or nonsensical information — when asked knowledge-intensive questions requiring up-to-date information, business, or domain knowledge. This limitation is primarily because most LLMs are trained on publicly available information, not your organization's internal knowledge base or proprietary…

JSON files are commonly used these days for sending data to applications. Be it a web application, an API, or a mobile application, JSON is used by almost every team as it is lightweight and self-describing. Due to its high popularity and wide usage, it is important to understand and…

We are living in a world where the internet is an inseparable part of our lives, and with the growth of Cloud computing and increased demand for AI/ML-based applications, the demand for network capacity is unstoppable. As networks scale exponentially, classical topologies and designs are struggling to keep in sync…

From data ingestion to reporting, the primary goal is to convert data into actionable information. Online data is growing at a much faster rate than data processing speeds. For businesses to stay competitive, data must be readily available for making informed decisions as early as possible. Live data streaming software is becoming…

In this article, I aim to discuss modern approaches used to reduce the time required to establish a data transmission channel between two nodes. I will be examining both plain TCP and TLS-over-TCP.  What Is a Handshake? First, let’s define what a handshake is, and for that, an illustration of…

The venerable Raspberry Pi has been around for over a decade (officially created in 2009) and it has become a standard in many robotics, home automation, and other types of uses, especially for “makers” and other tinkerers. But it has also made serious inroads into the professional and enterprise world…