Apache Kafka is a very popular open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Amazon MSK (Managed Streaming for Kafka) is a fully managed Kafka service that makes using Kafka even easier. But how do you get started with Kafka on AWS?

Apache Kafka is a very popular open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Amazon MSK is a fully managed Kafka service that makes using Kafka even easier. But how do you get started with Kafka on AWS? How do you migrate your existing Kafka environment to the cloud? How do you manage many Kafka environments at once?

Who’s faking it? Data-driven decision-making (and ensuring related investment is delivering on its promises) has been elevated in importance. Every enterprise is replacing opinion with data-driven decision-making, correct? A brand new research report from EMA (Enterprise Management Associates) titled, “A Data-Driven Enterprise” looks behind the curtain to separate facts and reality from fiction and aspiration. Here are some of the findings from the latest research on enterprises.

As digital transformation is now one of the main priorities for organizations across all industries, it is critical to have a solid strategy in place to ensure successful and lasting adoption. However, most technology leaders and decision-makers completely ignore some of the potential mistakes that stymie their organization’s digital transformation.

Nastel technical specialist, Terry House, has written a blog post here looking at the IBM MQ appliance and comparing it to the traditional software form of IBM MQ. He explores the additional security and cost benefits and also the additional monitoring and management requirements that are addressed by the Nastel Navigator X i2M platform.

Functional unit and integration tests are a standard tool of any software development organization, helping not only to ensure correctness of newly implemented code, but also to identify regressions — bugs in existing functionality introduced by a code change. The situation looks different though when it comes to regressions related to non-functional requirements, in particular performance-related ones: How to detect increased response times in a web application?

As we push more data to the cloud, avoidable mistakes are hampering migration. The biggest culprit: messy data with inadequate security and integration.Data transfers seem to be the easiest part of cloud migration. After all, migrating applications is the biggest pain in the neck. Data replication and migration should be simple, something that’s done during the last step of the application and data migration process. Right?

Big data is transforming the relationship between companies and customers. Analyzing large amounts of data for marketing purposes is not new, but recent advancements in big data technology have given advertisers powerful new ways of understanding consumers’ behaviors, needs and preferences. Big data helps you optimize each customer’s demands and convert them into prospective purchasers.

Apache Kafka is a distributed messaging system that can be used to build applications with high throughput and resilience. It is often used in conjunction with other big data technologies, such as Hadoop and Spark. Kafka-based applications are typically used for real-time data processing, including streaming analytics, fraud detection, and customer sentiment analysis. There are many derivatives such as Confluent Kafka, Cloudera Kafka, and IBM Event Streams.

The concept of AIOps is simple: Infuse artificial intelligence(AI) into IT to make operations speedier and more efficient. In theory, AIOps at its best should lead to an autonomous IT environment in which functions can run themselves with little or no human intervention. In practicality, the path to this nirvana state is anything but straightforward and raises several questions. Where should you start? How do you measure the value? Is AI ready to scale across production environments?

Back in 2011, the phrase “digital transformation” was in vogue in tech-based opinion pieces as a passing phenomenon and a response to the changing times. Back then, Capgemini (along with Massachusetts Institute for Technology Center for Digital Business) defined it as “the use of technology to radically improve performance or the reach of businesses.” More than a decade later, the expression has far more resonance.

The 2022 Australian Open men’s singles final between Rafael Nadal and Daniil Medvedev was epic! I watched it in Australia, which meant I was up until 2 a.m. on a Sunday night. Monday morning’s dog walk was sub-joyful. Medvedev seemed unplayable, taking the first two sets comfortably. But Nadal is a legend for a reason. Point by point, he overran his rival to make history.

IBM Cloud Pak for Integration (CP4I) is a platform that helps you quickly and easily integrate your hybrid cloud applications with the systems and applications that are important for running your business. It can help to collaborate between the different application teams and businesses that exist in your organization and ensure that they are working together at maximum efficiency.

Artificial intelligence will have a long-term impact on practically every industry. AI is already in our smartphones, automobiles, healthcare system, and favorite apps, and it will continue to infiltrate many more industries in the near future. If you want to start a career in Artificial Intelligence, IPSpecialist is the perfect place to start.

There’s a lot to consider when engineering and implementing software, whether as an update patch or a newly-introduced product. End users have certain expectations when introduced to new or updated software—at the top of the list are aesthetics, ease of use, stability, and response time—the last two of which can be significantly improved when you employ application performance management or APM.

In recent years, Artificial Intelligence (AI) development has increased rapidly. Technology has steadily been integrated into the economic and industrial worlds and everyday life in South Africa and worldwide to make our daily activities more convenient and straightforward. Chatbots are becoming increasingly popular for agents to provide better customer care. At the same time, AI in marketing may help determine the optimal moment to engage with a customer via email or social media.

Efforts to accelerate digital transformation are being held back by challenges finding the right talent. At a virtual roundtable sponsored by Red Hat and Intel, senior leaders said a more ‘open’ culture is required. In 2020, digital transformation leapfrogged seven years of progress in a matter of months. This was the finding of a McKinsey research report released in the autumn of 2020 that went viral enough for most business execs to be able to recite its top finding.

Our ongoing love affair with the cloud doesn’t show any signs of slowing. In 2021, end-user spending on public cloud services alone is predicted to reach $332 billion — or, to put it another way, more than the GDP of Chile, Finland or Vietnam. This affection is understandable. The cloud lets organizations build or adopt new services, expand to new regions and scale their offerings faster, more simply and — if used correctly — at lower cost than ever before.

Let’s face it: The big data game is kicking the pants off of everything that we’ve ever valued as a social commodity within anyone’s digital reach. In fact, data is so hot right now that even the value of oil has been told to go sit in the corner of the room, be quiet and color. Yep, you too King Cash. This also explains why your data by itself, as a standalone asset, is not considered as ‘valuable’ as you would think.

Hearing loss is a rapidly growing area of scientific research as the number of baby boomers dealing with hearing loss continues to increase as they age. To understand how hearing loss impacts people, researchers study people’s ability to recognize speech. It is more difficult for people to recognize human speech if there is reverberation, some hearing impairment, or significant background noise, such as traffic noise or multiple speakers.