Data remains a foundational element of computing. Recently, Hadoop and big data have been a central part of data progression, allowing you to capture data at scale. But companies now look to the expanding use of cloud computing and machine learning to create more intelligent applications.
Until very recently, when you shopped for a database you had to choose: Scalability or consistency? SQL databases such as MySQL guarantee strong consistency, but don?t scale well horizontally. (Manual sharding for scalability is no one?s idea of fun.) NoSQL databases such as MongoDB scale beautifully, but offer only eventual consistency. (?Wait long enough, and you can read the right answer??which isn?t any way to do financial transactions.)
One of the most fundamental choices to make when developing an application is whether to use a SQL or NoSQL database to store the data. Conventional SQL (i.e. relational) databases are the product of decades of technology evolution, good practice, and real-world stress testing. They are designed for reliable transactions and ad hoc queries, the staples of line of business applications. But they also come burdened with restrictions?such as rigid schema?that make them less suitable for other kinds of apps.
Bitcoins, or digital currencies like it, come with a certain level of anonymity that is, suffice it to say, the point of the whole technology. Credit transactions, especially, have a paper trail that can be tracked, recorded and leveraged. You can see, for instance, when a company representative has used... Read more »
by Angela Guess A recent press release states, ?Companies and developers wanting to integrate the decentralization, immutability, and consensus benefits of blockchain technology into their existing data infrastructure and business applications finally have an enterprise-grade product with which to do so. FlureeDB ? a scalable, blockchain cloud database ? launched November 9th, 2017 for public [?]
by Angela Guess According to a recent press release, ?Blockchain, together with artificial intelligence, machine learning, robotics, and virtual and augmented reality, have the potential to deliver disruptive outcomes and reshape digital business in 2018. And companies that have not started the digital investment cycle are at high risk of being disrupted. This is according [?]
Small Data is not Enough Anymore The hyper connected world we live in generates over 2.5 billion gigabytes of data daily. This comes from social media, messaging, video uploads, and data created by sensors from IoT. Only in the US, there are over 700 million credit cards, and the average... Read more »
In the past few years, the most outstanding development in information technology has changed. The Block chain is likely to change the way that the world reaches the big data. The two benefits that afforded to business is security and the data quality. Block chain is multi-skilled to grasp any... Read more »
Most people probably are familiar with Blockchain in terms of the bitcoin context. It?s the underlying technology that supports the worldwide crytpocurrency and digital payment system, but it has applications for supply chain data, too. In fact, in mid-September IBM and Microsoft announced a collaboration with GS1, the global business communications standards organization, to leverage [?]
Containers offer the promise of portability and agility: the ability to move your applications from a developer's laptop to your internal datacenter, and out to different cloud providers with little trouble right? They offer the ability to spin up new, custom versions of your software to quickly meet contractual deadlines which were signed last minute, or maybe even provide your customers with self service. They start faster, and are easier to move around than virtual machines. Right?
There?s a lot of hype around blockchain technologies at the moment, especially in the ongoing cryptocurrency initial coin offering (ICO) bubble. But that hype gets in the way of technologies that can help businesses manage assets and collaborate where trust is an issue. The underlying shared-ledger model that powers the blockchain is a powerful tool, and one that has a lot of potential.
As the blockchain continues to mature and find adoption in areas other than cryptocurrency, ERP vendors are working to integrate the distributed ledger technology as a trackable, immutable record for everything from shipping manifests and supply chains to equipment maintenance and dispute-resolution systems.
Information about weather and climate is vital for many areas of decision-making, particularly under conditions of increasing vulnerability and uncertainty related to climate change. We have quantified the global commercial supply of weather and climate information services. Although government data are sometimes freely available, the interpretation and analysis of those data, alongside additional data collection, are required to formulate responses to specific challenges in areas such as health, agriculture, and the built environment. Using transactional data, we analyzed annual spending by private and public organizations on commercial weather and climate information in more than 180 countries by industrial sector, region, per capita, and percentage of GDP (gross domestic product) and against the country?s climate and extreme weather risk. There are major imbalances regarding access to these essential services between different countries based on region and development status. There is also no relationship between the level of climate and weather risks that a country faces and the level of per capita spending on commercial weather and climate information in that country. At the international level, action is being taken to improve access to information services. With a better understanding of the flows of commercial weather and climate information, as explored in this study, it will be possible to tackle these regional and development-related disparities and thus to increase resilience to climate and weather risks.
When large-scale accidents cause catastrophic damage to natural or cultural resources, government and industry are faced with the challenge of assessing the extent of damages and the magnitude of restoration that is warranted. Although market transactions for privately owned assets provide information about how valuable they are to the people involved, the public services of natural assets are not exchanged on markets; thus, efforts to learn about people's values involve either untestable assumptions about how other things people do relate to these services or empirical estimates based on responses to stated-preference surveys. Valuation based on such surveys has been criticized because the respondents are not engaged in real transactions. Our research in the aftermath of the 2010 BP Deepwater Horizon oil spill addresses these criticisms using the first, nationally representative, stated-preference survey that tests whether responses are consistent with rational economic choices that are expected with real transactions. Our results confirm that the survey findings are consistent with economic decisions and would support investing at least $17.2 billion to prevent such injuries in the future to the Gulf of Mexico's natural resources.
Data provenance is "showing your work": the entire historical record for any piece of data, stored and searchable. Given the high stakes of its data and the tight regulations around its practices, the financial industry is particularly impacted by the need for data provenance.