Systems | Development | Analytics | API | Testing

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Enterprise Java Beans: Definition With Examples

By 1996, developers had already made Java popular for its friendly APIs and automated Garbage Collection, and they started using it widely in back-end systems. One problem, however, was that most of these systems needed the same set of standard capabilities – such as persistence, transaction integrity, and concurrency control – which the JDK lacked at that time. That, naturally, led to many home-grown, closed implementations.

Codemagic has achieved a perfect SOC 2 Type 2 report.

We’re happy to announce that Codemagic has received a perfect SOC 2 Type 2 report! We received our SOC 2 Type 1 report earlier this year and now we have received our Type 2 report with no exceptions noted! At Codemagic, we take the security and privacy of your data seriously. That’s why we went through the tough process of getting audited with the SOC 2 framework. “We’re proud to have achieved a perfect SOC 2 Type 2 report!

Improving Data Pipeline Reliability with On-Call Data Teams

A big part of data teams’ responsibilities is dealing with the unpredictable. Data pipelines don’t always run without incident: you need to rerun processes and fix data processing issues—in other words, put out data fires—to keep stakeholders happy. For every significant roadblock, additional time and effort is given over to investigation and post-mortem reports to make sure the incident doesn’t reoccur. But naturally, they keep happening.

Resource Allocation Policy Management - A Practical Overview

As organizations evolve – onboarding new team members, expanding use cases, and broadening the scope of model development, their compute infrastructure grows increasingly complex. What often begins as a single cloud account using available credits can quickly expand into a hybrid mix of on-prem and cloud resources that come with different associated costs and are tailored to diverse workloads.

Confluent Introduces Enterprise Data Streaming to MongoDB's AI Applications Program (MAAP)

Today, Confluent, the data streaming pioneer, is excited to announce its entrance into MongoDB’s new AI Applications Program (MAAP). MAAP is designed to help organizations rapidly build and deploy modern generative AI (GenAI) applications at enterprise scale.

Understanding Murmur Hashing: When and Why to Use

Hashing is a cornerstone of computer science, used extensively in data structures, cryptography, and distributed systems. Among various hashing algorithms, MurmurHash stands out for its speed, efficiency, and suitability for non-cryptographic applications. In this blog, we will delve into what MurmurHash is, when to use it, and how it compares to other hashing techniques, along with practical examples.

How Ai Code Is Transforming The Future Of Software Development

The world of software development is undergoing a huge transformation, due to the emergence of artificial intelligence (AI). AI-powered tools and methodologies are reshaping how we write, test, and deploy code, which is making our programming faster, more efficient, and more accessible. In this blog, we’ll explore the concept of code with AI, its applications, benefits, and its potential to redefine the future of technology. So, let’s dive in!

Unlocking the Power of Snowflake Database with Data Integration

Snowflake combines unmatched scalability, performance, and ease of use. It simplifies the complexities of traditional data warehousing, enabling businesses to store and analyze data at scale without the overhead of infrastructure management. But to truly unlock the power of Snowflake, businesses need an efficient and secure way to move data into it.

How Data-Driven SEO Can Transform Your Digital Strategy

Far too many small businesses, especially those without internal digital marketing teams or those working with external marketing professionals or agencies, overlook one of the most critical aspects of a well-rounded SEO program: data-driven SEO. According to a recent Databox research, 67% of businesses handle content marketing and SEO internally, yet many may not be fully leveraging data to optimize their efforts.