Cognixia Podcast

How is Open-Source disrupting video?

Videos are often a stove-piped domain for developers. Streaming videos comes with a couple of challenges and technical issues. On the back end, there’s transcoding, trade-offs between file sizes, and computing when encoding as well as compression. For developers, making it possible to just playback videos on devices can bring unique challenges across platforms like Android, iOS, and web browsers. This also explains why there are so many video infrastructure providers and video player providers in the market. Here come open-source video players like Video.js, jPlayer, MediaElement.js, Plyr, and Clapper. There are also some JavaScript-specific video players as well like the ReactPlayer, Videogular, Vue-core-video-player, and Stencil-video-player. And there are also some proprietary video players like JWPLayer, Bitmovin, Theo, Nexplayer, and castLabs. Every one of these players and categories comes with its pros and cons, and developers choose whatever they feel would best meet their requirements or whatever the organization feels is the best fit for their needs. But the biggest challenge that the developers face when working with videos is that these are all closed ecosystems.  Video as a web medium has been shackling up developers and applications letting highly specialized video engineers who have kept all the understanding of the back-end considerations for handling the media content close to their hearts. But open-source is helping developers break these shackles and making things easier as well as efficient for everybody. Check out Cognixia’s DevOps training and certification [https://www.cognixia.com/course/devops-plus-training/] course to learn more. You can visit our website and connect with us there or on any of our social media handles, our team will reach out to you and guide you around this. This DevOps training is 100% live online and instructor-led, plus you get a dedicated PoC throughout your course duration, access to all the learning material via our LMS, and so much more.

What does a Data Quality Manager do?

we talk about a designation or job title, if you may, that is gaining huge popularity, and why your organization might be needing this individual. We are talking about a Data Quality Manager. This designation did not exist much earlier but as more and more organizations but as more and more organizations engage with cloud computing and realize the true potential by unlocking valuable insights, having a data quality manager is the need of the hour for countless enterprises. Who is a Data Quality Manager? A data quality manager is an individual “responsible for assessing, managing, and maintaining the data quality across an organization.” The data quality manager works with various teams to ensure that all the data that is being collected and processed in the organization is consistently accurate and meets the regulatory requirements & compliances. Data quality management is an increasingly critical aspect in every business and if it is not seen as critical just yet in your organization. According to the US Bureau of Labor Statistics Occupational Outlook Handbook, it is one of the fastest-growing job titles in the US. The same trend seems to reflect across the globe as more and more enterprises join the data analysis bandwagon. And if the experts are to be believed, which they must since they are the experts, the job title of data quality managers is expected to see a whopping 36% growth in the coming decade. Cognixia’s Cloud Computing with AWS online training [https://www.cognixia.com/course/cloud-computing-with-aws/] will help you prepare thoroughly for the AWS certification exam. Our pool of experienced, certified trainers have years of experience in the field and are best placed to guide you with everything you need to ace the AWS online certification exam. So, check out the live online hands-on instructor-led AWS training and certification opportunities with Cognixia.

What is PI Planning?

An Agile Release Train (ART) is a network of Agile teams working to achieve the same objective. ARTs demand all teams implement, test, and deliver software or products.  But what exactly is PI in Agile? A program increment (PI) is a timeframe in which an ART provides additional value in the form of functional software or systems. Sprints are to Scrum teams what iterations are to Agile teams.  So, what does Agile PI planning mean? A program increment planning meeting is a face-to-face gathering of all teams involved in an Agile release train. The PI planning activity discusses the product strategy, chooses features, and determines team constraints. It enables everyone to collaborate to develop answers to possible bottlenecks before they occur. PI planning is critical in the Scaled Agile Framework (SAFe) to maintain the basic concepts of alignment, transparency, built-in quality, and program execution.  Why is PI planning important?  1. Maintains team trust 2. Improve UX advice 3. Increase cross-collaboration 4. Completes work quickly 5. Fast decision-making Effective PI planning steps 1. Organizational preparation 2. Content readiness 3. Logistics planning & accessibility  What takes place at a PI planning event?  PI planning normally takes two days. It follows a standard plan with a presentation of the business setting and purpose, followed by team planning breakouts in which teams set their goals for the next program increment.  Each team submits a draught of their plans at the end of the first day of planning. The draughts are examined for risks and dependencies, and the teams collaborate to identify solutions.  The Leading SAFe certification training [https://www.cognixia.com/course/leading-safe-5-1-training-safe-agilist-certification/] provides you with all of the skills and information you need to help the business align around shared goals and objectives. It will also help you enhance value generation and workflow from planning to delivery. Furthermore, the SAFe Agilist training & certification program will shed light on what makes organizations more customer-centric, as well as assist participants in learning how to execute SAFe alignment & planning events, such as PI planning.

What is the difference between Data Migration and Data Integration?

We talk about two terms that get used interchangeably but don’t mean the same thing in reality – Data migration and Data integration. Both processes play very different roles in the data management and preparation lifecycle. While there are a few similarities between the two terms, there are also some significant differences that set the two apart. What is Data Migration?  Data migration involves moving data from one location to another and would involve a change in the database, the application, or the storage. Data migration is usually undertaken when one needs to modernize the databases or the data warehouses need to be modernized or there is new data from new or old sources. There could be other reasons and causes too, but these are the most common ones.  The most common tools used for carrying out data migration are:  * CloverDX  * Microsoft SQL Server Migration Assistant  * IBM Informix  * AWS Cloud Data Migration  * Amazon DocumentDB  * IBM Cloud Migration Services  * Talend Open Studio  A good data migration tool should be able to let users schedule jobs, organize workflows, and map and profile data, while also letting one carry out post-migration audits. What is Data Integration?  Data integration, as the name suggests involves integration or merging. Data integration involves merging data from different sources into one single database or a single data warehouse. Data integration plays an important role in helping organizations make better, more informed decisions while having access to better data quality and better data analysis.  Data integration is a commonly used process for building data warehouses, and improving reporting, querying, and analytics.   The most common tools used for data integration include: Integrate.io  * Azure Data Factory  * Oracle Data Integrator  * Dataddo  * Informatica  * Talend  A good data integration tool would enable users to write data to target systems, services, and/or applications that one aims to use. Data integration and data migration are two very large topics to cover in the short time that one podcast episode permits, but if you are an aspiring cloud professional [https://www.cognixia.com/course/cloud-computing-with-aws/], data professional, or even an aspiring DevOps professional [https://www.cognixia.com/course/devops-plus-training/], you will delve deeper into it as you train and prepare to be a skilled professional in your field of interest.

IT Service Management talent for the Metaverse

What is the Metaverse?  Metaverse [https://en.wikipedia.org/wiki/Metaverse] is a term used to describe a combination of virtual reality and mixed reality worlds that can be accessed through a browser or a headset which would let people have real-time interactions and experiences across distances. What’s even more interesting is that according to Bloomberg Business Analysis, the metaverse could potentially unlock nearly 800 billion dollar market opportunity! That is how huge the Metaverse is and is going to be.  The demand for IT service management is soaring as high as ever, with experts opining that the demand is only set to go higher, showing no signs of slowing down. In today’s fast-paced world, enterprises need to have the right talent in the right place to manage the challenges the enterprise might encounter as it goes on to embrace the new technologies, besides also being prepared for whatever the future might throw its way.  For the metaverse, just having skilled IT professionals is not enough. To ace the metaverse wave, there would be a need for individuals who can excel at IT functions while also being capable of working in cross-business units and cross-solution functions. This necessitates a wide range of experience and knowledge in the individual.  Let us take a minute here to just speculate about the various possible avenues that an enterprise could explore, based on what we know about the metaverse today:  1. Create virtual versions of one’s existing products and services to sell in the metaverse  2. Create virtual shops to sell real-world products and services in the metaverse  3. Create a complementary range of products and services to offer with the real-world products and services to generate new revenue streams  4. Create virtual spaces, events in the metaverse, or metaverse-exclusive communities to generate engagement, etc.  The emergence of the Metaverse-as-a-Service is evitable. To manage the services, one needs top-notch IT service management talent. The best ITSM talent would be ITIL certified, so if this is an area of interest for you, getting started on the ITIL certification career path is exactly what you need to do. The first step on the career path is the ITIL 4 Foundation certification [https://www.cognixia.com/course/itil-v4-foundation/], so you know what you need to do.