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Deployment strategies
Software deployment is a crucial aspect of software development. It is the process of making the software available for use by end-users or customers. Deployment involves tasks such as installing, configuring, testing, and ensuring the software works as expected in the production environment. A well-executed deployment strategy ensures that software is delivered efficiently, effectively, and…
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Software Development Life Cycle
In today’s fast-paced business environment, it is important to develop high-quality software products in a timely and efficient manner. This is where Software Development Life Cycle (SDLC) comes in. SDLC is a framework that outlines the phases and activities involved in the software development process, from conception to deployment. In this blog, we will discuss…
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What is CI/CD?
Continuous Integration and Continuous Deployment (CI/CD) is an approach to software development that has gained immense popularity in recent years. It involves the integration of different phases of software development, testing, and deployment, making the entire process streamlined and efficient. In this blog, we will delve into the concept of CI/CD, its benefits, challenges, and…
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How to partition for NoSQL?
NoSQL databases have gained tremendous popularity in recent years, primarily because they offer significant advantages over traditional relational databases, especially when it comes to scalability, flexibility, and availability. NoSQL databases can be designed in many different ways, depending on the specific requirements of your application. One important design decision is how to partition your data…
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OLTP vs OLAP?
In the world of data management, there are two main types of systems used to process and analyze data: OLTP and OLAP. These two systems are fundamentally different and serve different purposes. In this blog, we will explore the differences between OLTP and OLAP, and discuss some of the cloud-based options available for both. What…
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Relational database performance?
Relational databases provide excellent performance when it comes to storing, managing, and retrieving data. They are highly organized and can quickly process complex queries. Relational databases can become inefficient when the data size and complexity of queries increases. This is because relational databases rely on rigid data structures and can be difficult to maintain. When…
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How to choose a database?
Choosing a database can be a complex process and depends on several factors. Relational databases are the most commonly used databases, and they store data in tables using a structured query language (SQL). NoSQL databases are more flexible than relational databases and are used when scalability and high performance are needed. Some of the key…
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What is Apache Kafka?
Apache Kafka is a distributed, scalable, high-throughput, and fault-tolerant stream processing platform. It was originally developed by the LinkedIn Corporation and is now maintained as an open-source project under the Apache Software Foundation. Kafka provides a unified, high-level API for handling real-time data streams, which makes it a popular choice for use cases such as…
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What is Apache Spark?
Apache Spark is an open-source, distributed computing system that provides an interface for big data processing and analysis. It was designed to provide fast and efficient processing of large-scale data by making use of in-memory computing and parallel processing. Spark provides a number of high-level APIs for data processing and analysis, including APIs for SQL,…
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What is serverless compute?
Serverless compute, also known as Function-as-a-Service (FaaS), is a cloud computing model in which the cloud provider manages the infrastructure and automatically allocates resources to run and scale applications, allowing developers to focus on writing and uploading their code without having to manage the underlying servers. In this model, the cloud provider charges for the…
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