Big data Archives – Musato Technologies
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Big data

What is data in computing?

In computing, data is information that has been translated into a form that is efficient for movement or processing. Relative to today’s computers and transmission media, data is information converted into binary digital form. It… Continue reading

Big data challenges traditional data modeling techniques

The onslaught of big data, with its high data volumes and diverse data structures, has given rise to new technologies in the form of NoSQL, Hadoop, Spark and the like. NoSQL, particularly, calls for changes… Continue reading

What is a graph database?

A better way to store connected data

Learn why graph database excels at exploring highly connected data, and how to leverage them in your organization. Key-value, document-oriented, column family, graph, relational.

Today we seem to have… Continue reading

Exploring the paradigm shift from backup to data protection

Smart organizations evaluate their overall data footprint and transform their traditional back-office IT to a streamlined data protection approach for both cloud and on-premises data.

Since the inception of computers and beginning as early as… Continue reading

Mobile apps and big data fuel this company’s growth

A new generation of mobile apps is attracting strong demand from insurers. It was way back in the 1990s when Paul-André Savoie had his first taste of how powerful mobile technology could… Continue reading

Business Intelligence platforms can assist to make sense of big data

BI platforms Overview

The market for business intelligence platforms (BI) tools is highly competitive, with some large international incumbents, many successful vendors with a track record spanning decades, and… Continue reading

The cloud-fueled shift now underway

Public clouds are the future of enterprise big data analytics, and their use is creating the unified platform needed to fully gain its value.Big data analytics

Today’s big data analytics market is quite different from the industry or even a few years ago. The coming decade will see change, innovation, and disruption ripple through at every segment of this global industry.

In the recently published annual update to its market study, Wikibon, the analyst group of SiliconAngle Media, found that the worldwide big data analytics market grew at 24.5 percent in 2017 from the year before. (I work for Wikibon.)

This was faster than forecast in the previous year’s report, owing largely to stronger-than-expected public cloud deployment and utilization as well as accelerating the convergence of platforms, tools, and other solutions. Also, enterprises are moving more rapidly out of the experimentation and proof-of-concept phases with big data analytics and are achieving higher levels of business value from their deployments.

Going forward, Wikibon forecasts that the overall big data analytics market will grow at an 11 percent annual growth rate by 2027, reaching reach $103 billion globally. Much of the market growth in later years will be sustained by the adoption of big data analytics in the internet of things (IoT), mobility, and other edge-computing use cases. Continue reading

Big data systems put companies on new business paths

Big data systems, for some companies, aren’t just platforms for new types of data processing and analytics applications — they’re the driving force behind entirely new business strategies.

Organizations hungry for more revenue are using Hadoop and other big data technologies to break their existing business molds and pursue new strategies and product offerings.Big data systems

That’s the case at iPass Inc., which is using a big data environment to fuel a strategic shift from pay-for-use Wi-Fi access to tools for managing and optimizing mobile connectivity for corporate users. Introduced in late 2015, the company’s iPass SmartConnect software includes algorithms that identify Wi-Fi access points and rank them on performance so mobile users can connect to the fastest and most reliable hotspots available. That marks a big change from when iPass gave users a static list of hotspots.

And it wouldn’t be possible without the underlying data management platform built around the Spark processing engine, said Tomasz Magdanski, director of big data and analytics at iPass. “We do need the big data architecture, 100%,” he explained. “There’s no way we could crunch all this data in real time and do all the ranking and measurements without it.” Continue reading