Getting Past the Hype (data science course Malaysia)
Some of the most popular themes have matured and have become mainstream. (data science course Malaysia)
Because previous technology couldn’t keep up with the volume, “big data” became a popular buzzword. He claims that now that the technology exists, the barrier has changed to people’s inability to comprehend today’s huge data repositories.
The impossibility — or lack of requirement — for real-time reactions has impeded real-time analytics/streams.
While reacting rapidly is critical in some use cases, such as day trading, the reality is that many corporate use cases today don’t need to — or can’t — react quickly enough to justify the cost of real-time analytics. For most applications, event-based batch processing, whether hourly, minute-by-minute, or overnight, works just as well.
He described agile development as a “strange idea” a few years ago, but it is now adopted in many firms. The term “agile” has also gained popularity, with businesses using it to promote themselves as nimble, relevant, and innovative. “It’s kind of amusing to me how many firms claim to be agile, but when you look under the covers at what they actually do process-wise, they aren’t even close to being agile.” Despite the mainstream’s loose interpretation of the term, Algmin believes that truly agile development is definitely beneficial.
Phones and mobile analytics (data science course Malaysia)
He noted that, along with the rise of dashboards and information reporting, there was a significant desire for executives to have access to analytics on their phones, because they wanted to be able to check their figures at any time and from any location. Now, thanks to responsive design, the output format may be detached from the analytics programming computation, allowing the recipient to choose their preferred form factor independent of the analytics’ development. “Phones and mobile analytics were once extremely popular. Now that they’ve settled in, they’re just a part of the fabric of all we do.”
“When we first started talking about the Internet of Things, we were saying, ‘Okay, the Twitter-enabled refrigerator.’ It was the height of amusement for me.” “Do you recall that?” Refrigerators with a screen that allows tweeting from the kitchen have not become commonplace, which is unsurprising. “Who thought that was going to help?” says the narrator.
Data Science
Many firms now have a Chief Data Officer or CDO equivalent, according to Algmin, since they know that they want more from their data. It’s still relevant, but it’s becoming more mainstream, and he’d like to hear more about the CDO’s function in the company. According to Algmin, the Chief Information Officer (CIO) should be part of the business side, while the Chief Digital Officer (CDO) should remain in IT.
NoSQL is a technology that peaked with the “destroy the data warehouse” myth, but has since matured into an integral aspect of search and retrieval for datasets linked to a single key.
For ad hoc analytics, data profiling, and proving things that are better hardened through a data warehouse, in-memory analytics has become a powerful tool.
“A working, meaningful Data Science team can achieve some fantastic stuff for your organisation,” Algmin remarked, despite the fact that Data Science hasn’t quite lived up to expectations.
Current Trends: Today’s Most Popular Data Architecture Topics
“The hottest sectors, bar none, are machine learning and artificial intelligence,” Algmin remarked. Even businesses with weak data governance, poor data quality, and slow processing performance are yearning for AI and machine learning. The deployment of these advanced technologies, according to Algmin, should be reliant on enhancing the fundamentals, such as Metadata Management.
“We can’t alter what’s hot, but we can change how we approach it and acknowledge that the enabling capabilities to drive machine learning and artificial intelligence are the things we need to do anything with data.”
“Everything” with Voice Control
Conversations with chatbots like Alexa or Siri, according to Algmin, haven’t completely lived up to their potential since they “don’t grasp what I’m talking about.” He believes it has achieved critical mass and is not going away, therefore allowing speech functionality in consumer-facing goods may be worthwhile in some circumstances.
The continuous rise of the major cloud platforms, as well as consolidation and retrenchment strategies among some of the lesser firms, indicate that cloud technology is maturing.
Data Architecture and Enterprise Architecture are merging.
“The data architect’s heat index is on the increase, but the enterprise architecture heat index is very, very cold, and has been for quite some time.”
Poor Data Management and dispersed data sources have resulted in the adoption of data catalogs, data lineage, and the return of Data Modeling in many circumstances. Companies who failed to manage a warehouse are going to a data lake and making the same mistakes, resulting in a “contained awful disaster,” according to him.
Implementing a data catalogue that can illustrate where the parts of the puzzle are, as well as having the ability to trace lineage and data movement, is a step in the right way, he said. Modeling can give a single source of truth and reduce the amount of time spent repeating routine procedures. “Hey, you know what’s difficult?” Every time you need to move something, you have to transform it. Why don’t you get it right the first time and then utilise it everywhere?”
The rate of innovation has slowed.
“We are departing one of history’s most profound rapid-innovation periods,” Algmin said, adding that while innovation is still occurring, more derivatives, such as the development of cloud features, are emerging as opposed to the initial creation of cloud technology. “All of the potential that has been produced requires time to polish and operationalize.”
Expect significant productivity increases and wealth creation, as well as new service delivery models, in the years leading up to 5G being mainstream. For example, the streaming video market is becoming increasingly fragmented, with services like Netflix, Hulu, and Disney offering content not available to traditional cable and satellite subscribers. “Traditional cable and satellite companies are just losing customers,” he added, adding that fragmentation is exacerbated by their “long history of poor customer service.” He believes that users will no longer be limited to a single bundle, but would instead have access to a variety of cloud-based streaming video providers.
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