The biggest concern of every organization when sharing important business files is security.
As data protection and cybersecurity anxieties become more common, shifting from generic file-sharing options to a highly encrypted platform has become more important than ever.
In this post, we start looking into how the Ethereum platform executes transactions. We will learn transaction validity rules and why they exist. After that, we will deep-dive into transaction execution and understand the steps taken by nodes while processing a transaction.
This post is the fourth in the series Ethereum Yellow Paper Walkthrough. The goal of this series is to demystify the concepts in the paper, making it accessible to a broader audience. If you missed the previous posts, here they are!
When discussing API design, REST or Representational State Transfer is what comes to mind first. It is a standard tool used for data retrieval from the server that accesses data by URLs.
Client applications whilst progressing into the new millennium was relatively simple. That is when REST had been developed and it became a good fit for many applications in due course of time.
Java gained a reputation as a secure programming language when it was introduced in the mid-1990s. At that time, C or C++ was used for the majority of business programming. Java removed many pitfalls and vulnerabilities of those languages, like manual memory allocation.
This reputation as a more secure language does not mean that all Java code is automatically secure. Developers still have to make sure that they deliver secure code. Fortunately, you can stay on top of your Java security by keeping an eye on possible Java threats.
In a typical/traditional data warehouse solution, the data is read into ETL memory, processed/transformed in the memory before loading into the target database. With the growing data, the cost of compute is also increasing and hence it becomes vital to look for an alternate design.
Welcome to pushdown query processing. The basic idea of pushdown is that certain parts of SQL queries or the transformation logic can be "Pushed" to where the data resides in the form of generated SQL statements. So instead of bringing the data to processing logic, we take the logic to where data resides. This is very important for performance reasons.
Modern applications rely on microservices to remain scalable and efficient. Kubernetes provides the perfect environment for microservices to exist and work together with the tools and features it offers. As each part of the application gets placed in a container, the system as a whole becomes more scalable.
Business storage and management are integral to the daily operations of a business. As your business grows, the question of data storage must be addressed. According to a recent Gartner report, the worldwide cloud services market is projected to grow by nearly 18 percent in 2019, totaling $214.3 billion.
Despite the growing popularity of public cloud services, there are numerous convenient, affordable, and safe ways to store enterprise data, such as colocation and in-house data centers. Depending on the specific needs of your business, you may choose to prioritize factors like data control and overhead costs over convenience or vice versa. So, what is colocation, and how does it compare to in-house data centers?
When we think about the performance of a database, indexing is the first thing that comes to the mind. Here, we are going to look into how database indexing works on a database. Please note that here, architectural details are described referenced to SQLite 2.x database architecture. You can find out the backend implementation of SQLite 2.5.0 with tests, which is relevant to this post from https://github.com/madushadhanushka/simple-sqlite.
Read how overall SQLite database architecture composed in this DZone article.
As the march of technology is never-ending, the only constant we can expect is change. This is especially true considering the strides that serverless has made in the industry, especially with the release of the AWS Lambda back in 2014. Upon its release, AWS Lambda was quick to take front and center position in the FaaS services making up the core of serverless applications. It was rightly heralded as one of the most important releases within the domain. This further lead to an array of best practices dictating how applications were built using FaaS services achieving serverless capabilities.
You may also enjoy: Explaining Eventbridge Amidst the Hype
However, as the course of technology meanders in its ongoing path, new innovations are constantly redefining the way we build applications. One such innovative service announced this year was AWS EventBridge, and its release has since caused an uproar in the domain of serverless. Many blogs and posts within the community that followed the announcement characterized it as the most important announcement after the release of AWS Lambda.
Commits are fundamental to Git, but not all developers have a comprehensive understanding of what a commit actually is and how it gets applied to your project.
In short, a commit is a snapshot of your Git repository at one point in time. In this beginner Git tutorial, we will dig into the journey of creating a commit.
