Companies today face incredible challenges around compliance, security and analytics, as their data lakes fill with invaluable information from ever more sensors. And tomorrow?s challenges will be no easier. As the digital age expands to cover all facets of our lives, more and more computing power will be necessary to process all of the data created.
Data democratization is the idea that digital information should be accessible and understandable to the average end user as a basis for decision-making. Data democratization has been promoted as a competitive advantage in the global economy and a desirable, egalitarian end-state where all decisions are data-driven. But has this been the reality?
by Angela Guess According to a recent press release, ?Data Deposit Box Inc., is pleased to announce the release of its Cloud Platform version 2018. The new platform includes the release of Hybrid Blockchain as a Service. The service will support the growing number of distributed ledger technologies plus enable deployment of private blockchains for [?]
As the calendar page has turned to 2018, a sound Data Strategy remains a goal for many companies, but still somewhat elusive. ?2017 underscored just how fundamental, and fundamentally difficult, the changes needed to manage data assets/become data-driven really are,? says Thomas C. Redman, president of Data Quality Solutions. The fact that only 3% of [?]
by Angela Guess According to a recent press release, ?Alation Inc., the collaborative data company, today announced it has won a Dresner Advisory Services? 2017 Technology Innovation Award in the Data Catalog category. The annual award program honors the highest-ranked vendors in Dresner?s 2017 Wisdom of Crowds« series of thematic market studies, for which Alation [?]
Edge Computing (EC) allows data generated by the Internet of Things (IoT) to be processed near its source, rather than sending the data great distances, to data centers or a Cloud. More specifically, Edge Computing uses a network of micro-data stations to process or store the data locally, within a range of 100 square feet. [?]
Click to learn more about authoráSreeram Sreenivasan. From autonomous cars to messaging apps to IoT devices, every piece of technology has come to be powered by data. No matter what your profession or job title, you?re bound to encounter some form of data on a daily basis. However, the volume of data is not as [?]
As long as you know the right URL, anyone with access to the internet could retrieve all the data that was left online by marketing analytics company Alteryx. This is the second major exposure of data stored and improperly managed in the Amazon Web Services S3 storage service.
Unable to even come close to SSDs in terms of performance, hard disk makers have chosen to compete with capacity. A SSD over 1TB in size starts to become expensive, especially for consumers, so HDD makers Seagate and Western Digital have gone for massive capacity, introducing drives with up to 14TB of capacity.
Click to learn more about author John Felahi. In this second blog of a two-part series on Multi-Data Lake Management, we continue to best answer the question of: ?How can I make everything work together today?? In Part One on this subject, ?Five Essentials to Multi-Data Lake Management: Synchronizing Everything Together? we discussed coordinating all [?]
?Our development teams move at light speed here,? Mike Burkes, VP of Business Intelligence, Fraud Management, and Revenue Assurance at Ultra Mobile says, ?Decisions made on a Friday are worked into the next available Scrum sprint and can be out the door to our customers in as little as two weeks.? Ultra Mobile provides international [?]
Click to learn more about authoráKartik Patel. The term ?Advanced Analytics? can seem daunting to the average business user and even to the average business enterprise but the process is not as complex as it may seem. What is Advanced Analytics? Advanced Analytics is comprised of numerous sophisticated analytical techniques, designed to parse, explore and [?]
Modern ethos is that all data is valuable, should be stored forever, and that machine learning will one day magically find the value of it. You?ve probably seen that EMC picture about how there will be 44 zettabytes of data by 2020? Remember how everyone had Fitbits and Jawbone Ups for about a minute? Now Jawbone is out of business. Have you considered this ?all data is valuable? fad might be the corporate equivalent? Maybe we shouldn?t take a data storage company?s word on it that we should store all data and never delete anything.
Thanks to the rapid growth of Machine Learning (ML) and Deep Learning (DL) in the recent years, the Business Intelligence and Analytics trends in 2018 are filled with considerable change. The deep penetration of the Internet of Things (IoT) and Big Data in the global business environment has naturally sparked the need for smart Business [?]
Discovering, extracting, and analyzing data patterns in textual data from the myriad data sources streaming into modern data-driven organizations is no easy task. Organizations must be equipped with state-of-the art techniques such as Natural Language Processing (NLP) within well-developed Artificial Intelligence (AI) and Machine Learning (ML) platforms, to reliably understand the pulse of their consumers [?]
by Angela Guess According to a recent press release, ?Trifacta, a global leader in data wrangling, today announced expanded support for Amazon Web Services (AWS) and the availability of Wrangler Edge and Wrangler Enterprise on AWS Marketplace, allowing organizations to deploy Trifacta in less than an hour. Trifacta has also earned AWS Machine Learning (ML) [?]
It?s a phrase we constantly hear, isn?t it? Data is a crucial business asset from which we can extract value and gain competitive advantage. Those who use data well will be the success stories of the future.
by Angela Guess A new press release states, ?Splunk Inc., first in delivering ?aha? moments from machine data, today announced new product integrations with Amazon Web Services (AWS) that span IT, Security, Big Data and IoT use cases. Integrations with Amazon Kinesis Firehose, the first partner integration of its kind, and Amazon GuardDuty deliver Splunk?s [?]
We?re living in a world of big data. The current generation of line-of-business computer systems generate terabytes of data every year, tracking sales and production through CRM and ERP. It?s a flood of data that?s only going to get bigger as we add the sensors of the industrial internet of things, and the data that?s needed to deliver even the simplest predictive-maintenance systems.
Click to learn more about authoráVictor DeMarines. It?s a complex time to be a compliance manager. You must combat the speed and sophistication of hackers who are so good, cracked versions of software often appear to be legitimate ones to unwitting customers in search of a discount. At the same time, you must ensure entitlements [?]
by Angela Guess A recent press release reports, ?Datadog, the essential monitoring service for modern cloud environments, today announced the opening of offices in London and Dublin. This expansion highlights the company?s commitment to serving customers in Europe ? adding to their existing Research and Development (R&D) office in Paris ? and serves as a [?]
TensorFlow has emerged as one of the leading machine learning libraries, and when combined with an operational database, it provides the foundation for quickly building sophisticated machine learning workflows.
by Angela Guess According to a new press release, ?IBM today announced sweeping advances in its all-flash storage solutions and software to significantly drive down the costs of data and extend its solutions for hybrid and private cloud environments. (1) New ultra-dense FlashSystem array capable of storing more data in the same footprint, contributes to [?]
by Angela Guess According to a recent press release, ?Teradata, the leading data and analytics company, today announced Teradata IntelliSphere?, a comprehensive software portfolio that unlocks a wealth of key capabilities for enterprises to leverage all the core software required to ingest, access, deploy and manage a flexible analytical ecosystem. ?Teradata IntelliSphere is a powerful, [?]