CTOvision

APRIL 9, 2015

Today''s data-intensive analytic platforms offer a dizzying amount of data, originating from sensors, markets, social media, the Internet of Things, and countless other sources. All this data can cause a significant delay in decision-making. ParStream Advances IoT Analytics with New Release (dataversity.net).

Big Data 97

Big Data Hardware Analytics Open Source 97

CTOvision

NOVEMBER 30, 2015

You can remember them all with the helpful mnemonic acronym CAMBRIC, which stands for C loud Computing, A rtificial Intelligence, M obility, B ig Data, R obotics, I nternet of Things, C yberSecurity. In this post we dive deeper into the trend of Big Data. Can behavioral analytics enhance service and security?

Big Data 68

Big Data Technology Data Trends 68

Datavail

SEPTEMBER 2, 2021

Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. A lift and shift to the cloud involves moving applications and associated data to the cloud without redesigning the applications. But, there are many players in the data analytics market. Making Data More Usable.

Analytics 89

Analytics Cloud Data Artificial Inteligence 89

CTOvision

AUGUST 16, 2014

These reports provide actionable information and context on topics like Analytical Tools , Big Data , Cloud Computing, Comms , GreenIT , Infrastructure , Mobile , Security , Visualization , As a technology creator, we would also like to ensure we are tracking what you are doing so we can report relevant info for our readership.

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CTO Technical Review Big Data Research 104

O'Reilly Media - Data

APRIL 17, 2018

A failed analytics startup post-mortem. In January 2015, I set out to build an external representation of a market every bit as rich as those in the minds of leading executives driving successful companies; I founded an analytics startup called Relato —a startup that, unfortunately, did not succeed. Screenshot by Russell Jurney.

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CTOvision

DECEMBER 30, 2014

You can accelerate your market research into available technologies by reviewing our actionable information and context in these categories: Analytical Tools. Managing data to enhance sensemaking (Big Data). We also provide a library of white papers and studies curated for the enterprise technology consumer.

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Technical Review Software Review Systems Review Big Data 106

CTOvision

JUNE 10, 2015

We would also like to bring your attention to a white paper which captures more details on these lessons learned and use cases, which can be downloaded here: Download “SAS and Apache Hadoop for Government” SAS-And-Apache-Hadoop-for-Gov2.pdf pdf – Downloaded 239 times – 832 kB.

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Video Architecture Government Enterprise 107

Datavail

OCTOBER 29, 2019

Businesses of all sizes and industries are hungry both for big data and for the digital technologies that convert it into intelligent, valuable insights. Competition in the big data space is fierce, and trends are changing fast. Keep reading for our analysis of Data Trend #1: Data Management is Still Hard.

Big Data 40

Big Data Trends Data Business Intelligence 40

Cloudera

AUGUST 12, 2021

A more data driven approach also leads to greater transparency and meritocracy when new opportunities and promotions are based on performance rather than politics, ensuring that top-talent is nurtured and rewarded. Streamlining operations with advanced analytics to preempt issues.

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Data Insurance Agile Exercises 111

Datavail

APRIL 6, 2021

Oracle Analytics Cloud. Oracle Data Cloud. PaaS includes the essential infrastructure and middleware as well as technologies such as artificial intelligence, the Internet of Things (IoT), containerization, and big data analytics. Oracle’s SaaS cloud offerings include: Oracle EPM Cloud. Oracle ERP—Financials Cloud.

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Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Kentik

JULY 18, 2016

Seeing Beneath the Surface with Post-Hadoop Big Data. While digging the trench, his contractor revealed an intricate mosaic floor of red, blue, and white tiles just 18 inches down. Data-driven insights can boost user satisfaction, make a business more competitive, and increase profits. Dig deep without a backhoe.

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Big Data Network Analytics Data 40

Datavail

DECEMBER 5, 2019

We’ve now reviewed the top 4 data trends projected by Datanami for 2019 – let’s see how stack up for trend #5. Even within the greater technology field, big data stands out for the speed at which new tools and practices appear and change. As of August 2018, there were 151,000 unfilled data scientist positions across the U.S. ,

Big Data 8

Big Data Technical Review Trends Technology 8

Datavail

AUGUST 4, 2022

‘Big Data’ is getting bigger. The second challenge requires sophisticated analysis programming that gleans the meaning of each data bit and attaches that to the meanings gleaned from other relevant data bits. Data emerges every second of every day. Capturing Big Data – Managing the Volume.

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Big Data Data Architecture Storage 40

Datavail

NOVEMBER 26, 2019

In this continuation of our analysis of the Top 10 Big Data Trends to Watch in 2019 , as projected by Datanami, we’ll take a look at Trend #4: Data Governance Builds Steam. The GDPR is just the most recent development in a big data landscape where data governance is increasingly important.

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Big Data Government Trends Data 8

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

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Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Datavail

NOVEMBER 12, 2019

Back in January, the big data news portal Datanami put together a list of “10 Big Data Trends to Watch for 2019.” Now that we’re firmly in the back half of the year, we’ve decided to go over each of Datanami’s 10 big data trends to see how they stack up with our own observations.

Big Data 8

Big Data Trends Data Technical Review 8

Kentik

NOVEMBER 21, 2016

As for intelligence, traditional DDoS detection appliances summarize the raw traffic data and then discard the details, so they are literally incapable of providing deep analytics. And analytics are precisely what you need to understand the full implications of changing conditions, vectors, and traffic trends.

Big Data 40

Big Data Data B2C Storage 40

Kentik

JULY 19, 2017

Because “package tracking” in a large network is a big data problem, and traditional network management tools weren’t built for that volume of data. Act 3: Big Data SaaS to the Rescue. Kentik offers an easy-to-use big data SaaS that’s purpose-built to deliver real-time network traffic intelligence.

Big Data 40

Big Data Network Data Systems Review 40

Datavail

MARCH 4, 2021

Microsoft’s Power BI software for business intelligence and analytics is used by thousands of organizations around the world to uncover hidden insights and make smarter, data-driven decisions. A unified BI platform that acts as the organization’s one-stop shop for both self-service and centralized analytics.

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Performance Azure Analytics Artificial Intelligence 52

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Together with Simudyne, Cloudera makes it possible. Dr. Richard L.

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Artificial Inteligence Machine Learning Analytics Big Data 42

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. process data in real time and run streaming analytics.

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Weak Development Team Technical Review Systems Review Open Source 93

Datica

MAY 7, 2019

CDS can also incorporate big data approaches like predictive analytics and pattern recognition, providing powerful tools for future enhancements. What’s Next: Deep Dives and a White Paper. Download the white paper. CDS can be utilized by both health care providers and patients. Photo: Haley Lawrence.

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Innovation Resources Technology Examples 45

Strategy Driven

AUGUST 12, 2012

Big Data is Talking. This interactive white paper from CIO Magazine and EMC lays out the benefits of big data and predictive analytics, provides tips on how to get started, and shares the remarkable results that businesses have achieved by marrying these two powerhouses. Are You Listening?

Big Data 20

Big Data Resources Data Survey 20

Datavail

JULY 9, 2020

You can consolidate the data of multiple master nodes to a shared standby server, which aids in setting up big data analytics, reporting, and other types of data manipulation. Learn more about the benefits of migrating from Oracle to PostgreSQL by downloading our white paper. Read This Next.

Enterprise 52

Enterprise Disaster Recovery Load Balancer Open Source 52

Cloudera

JULY 16, 2019

Many hybrid cloud challenges revolve around data. Solving the pain points of big data management is often an essential first step in creating a hybrid cloud strategy that works, and should be done in the context of the business. So, business strategy should drive data strategy, which in turn, should drive your cloud strategy. .

Enterprise 41

Enterprise Strategy Cloud Data Center 41

Kentik

JULY 19, 2017

Service providers of all stripes can benefit from big data-powered network insights in similar ways as KDDI, both in planning as well as operational realms. If you’d like to learn more, check out our products , read our Kentik Data Engine (KDE) white paper, and dig into why NFV needs advanced analytics.

Network 40

Network .Net Data Center Big Data 40

Kentik

APRIL 11, 2016

Clustered computing for real-time Big Data analytics. But the current epoch of distributed computing is often traced to December of 2004, when Google researchers Jeffrey Dean and Sanjay Ghemawat presented a paper unveiling MapReduce. While the use of data cubes boosts Hadoop’s utility, it still involves compromise.

Big Data 40

Big Data Analytics Network Architecture 40

Datavail

OCTOBER 25, 2022

As every business is coming to learn, the vast volume and variety of data streaming into databases – Big Data – is growing exponentially, which can be good if that information is also correctly cleaned, categorized, integrated, and stored for easy access. The Growth of Big Data. The Data Warehouse.

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Organization Data Artificial Inteligence Storage 52

IDC

JULY 23, 2019

In contrast, spending on 3rd Platform technologies (cloud, mobility, Big Data, and social) and innovation accelerators is projected to soar by around 15% from 2019–2022. CX may use hyperscale or multicloud platforms to support data and omni-channel integration. Overall ICT spending in Europe is forecast to rise by 3.0%

IoT 45

IoT Artificial Intelligence Artificial Inteligence Big Data 45

Datavail

JUNE 22, 2021

Continuous Innovation : As of this writing, Microsoft has built over a thousand new capabilities in Azure in just one year , keeping it on the cutting edge of analytics, artificial intelligence, and virtualization. In this white paper, you’ll learn why Microsoft Azure is the cloud platform of choice for so many organizations.

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Datavail

MARCH 24, 2020

Policy: The rules and regulations that control your organization’s behavior in terms of data strategy—for example, corporate governance policies or data privacy laws such as HIPAA. Regardless of how you break things down, your data strategy needs to be clear-cut rather than aspirational, easily understood by all relevant parties.

Strategy 40

Strategy Data Policies Metrics 40

Capgemini

FEBRUARY 27, 2025

Engineering talent almost always comes at a premium, but R&D talent skilled in emerging software engineering fields like cloud engineering, cybersecurity, big data analytics, and AI/ML, is particularly expensive. Download our white paper on Engineering Next-Generation Digital Products.

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Engineering Software Review Strategy Software 52