Strategy Driven

AUGUST 27, 2015

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.

Big Data 33

Big Data Data Storage Journal 33

Kentik

MARCH 27, 2017

I recently had an interesting conversation with an industry analyst about how Kentik customers use our big data network visibility solution for more accurate DDoS detection, automated hybrid mitigation, and deep ad-hoc analytics. I was focused on our current customer base in digital business as well as cloud and service providers.

Enterprise 40

Enterprise Policies Analytics Architecture 40

Gorilla Logic

MAY 19, 2021

. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

CTOvision

FEBRUARY 4, 2015

If you are into technology and government and want to find ways to enhance your ability to serve big missions you need to be at this event, 25 Feb at the Hilton McLean Tysons Corner. Engaging the Hadoop Developer — Deep-dive with industry experts into the key projects, technology, and emerging trends driving the enterprise adoption of Hadoop.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Engaging the Hadoop Developer — Deep-dive with industry experts into the key projects, technology, and emerging trends driving the enterprise adoption of Hadoop.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Kentik

JULY 10, 2018

This series of guest posts has concentrated on the numerous challenges facing enterprise IT managers as businesses embrace digital transformation and migrate IT applications from private data centers into the cloud. Network data is big data.

Tools 45

Tools Cloud Big Data WAN 45

Xebia

JANUARY 19, 2023

. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

CTOvision

OCTOBER 2, 2013

Since joining forces last year, Strata + Hadoop World is also one of the largest gatherings of the Apache Hadoop community in the world, with emphasis on hands-on and business sessions on the Hadoop ecosystem. If you want to tap into the opportunities brought by big data, data science, and pervasive computing, you’ll want to be there.

Big Data 73

Big Data CTO Coach Conference Media 73

Openxcell

JANUARY 6, 2023

Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. Many new technologies now begin in the cloud as services, which is very enticing to business customers who are aware of the possible competitive benefits of early adoption.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

APRIL 5, 2021

This is a guest article by Fazeel Khan from Data Ladder. If you look up the word “data” on the internet, you’ll find tons of different definitions. But the one we’re discussing in this article is the definition of data as unprocessed or raw information – specifically in business use cases. Use Cases of ETL.

Company 78

Company Data Technical Review Analysis 78

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Who needs a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Users can easily create a wide range of data-intensive, yet intelligible reports and dashboards and share obtained insights. What is Power used for?

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Dion Hinchcliffe's Web 2.0 Blog

JANUARY 11, 2012

That’s not to say it hasn’t already happened nearly everywhere already, except for a significant part of the business word. Perhaps more than anything else these days I’m getting this increasingly urgent question at an senior executive level: What specifically are the business benefits of social media? Enterprise 2.0

Social 61

Social Conference Media Enterprise 61

Altexsoft

JANUARY 22, 2020

Similar to a real world stream of water, continuous transition of data received the name streaming , and now it exists in different forms. Media streaming is one of them, but it’s only a visible part of an iceberg where data streaming is used. As a result, it became possible to provide real-time analytics by processing streamed data.

Analytics 20

Analytics Data IoT Analysis 20

Kaseya

NOVEMBER 9, 2023

As the digital horizon expands, businesses worldwide are embracing the cloud, recognizing its transformative capabilities in orchestrating efficiency, progress and sustained growth for modern enterprises. What is the cloud? It enables organizations to operate efficiently without needing any extensive internal infrastructure.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

ParkMyCloud

MAY 29, 2019

As more and more enterprises drive value from container platforms, infrastructure-as-code solutions, software-defined networking, storage, continuous integration/delivery, and AI, they need people and skills on board with ever more niche expertise and deep technological understanding. Business Intelligence Analyst. IoT Engineer.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

While the respondents in the survey ran 40% of their workloads in public cloud and 39 % in private cloud, enterprise customers ran fewer workloads in the public cloud, 32%, and more in Private clouds, 45%, which reflects their concern with security and safety of critical workloads. The number of respondents adopting private cloud is 75%.

Cloud 49

Cloud AWS Azure Data Center 49

CTOvision

NOVEMBER 29, 2016

Commercial corporations in the Internet Age face endlessly growing data asset management – but traditional business technology isn’t the way to help, argues Neo Technology’s Emil Eifrem. Digital consumers are generating data at an exponential rate, via social networking, emails, blogs and smartphones. Emil Eifrem.

Healthcare 101

Healthcare Analytics Network Media 101

Existek

JANUARY 27, 2023

They use advanced algorithms and data analysis to assess the creditworthiness of borrowers and match them with suitable lenders. Enterprise software for financial services There are a wide variety of different types of enterprise software used in the financial services industry, each with its own unique set of features and capabilities.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

OCTOBER 21, 2022

We describe information search on the Internet with just one word — ‘google’. 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.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The service enables you to enrich information streamed by devices with data from external sources. IoT Analytics has templates to build predictive maintenance models. Azure IoT Hub.

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

JUNE 26, 2023

All successful companies do it: constantly collect data. They track people’s behavior on the Internet, initiate surveys, monitor feedback, listen to signals from smart devices, derive meaningful words from emails, and take other steps to amass facts and figures that will help them make business decisions. No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Kentik

APRIL 10, 2017

With a single name-brand edge router costing up to $1M+, operating a large-scale Internet edge can be a costly proposition. Whether you’re a Web enterprise selling goods and services online or an ISP selling connections, that cost can be a significant hurdle to launching or expanding your business. Can Your FIB Fit Your RIB?

Network 40

Network Analytics Internet Analysis 40

Altexsoft

JANUARY 24, 2020

Telecommunications and Internet services hold the line. One of the most notable companies risen from GT is Internet Security Systems (bought by IBM for $1.3bn). Business Analytics (MS) lays right at the intersection of business, technology, and data. Business Intelligence. growth YoY rate.

Education 99

Education Analytics Recruiting Programming 99

Dion Hinchcliffe's Web 2.0 Blog

AUGUST 31, 2011

Salesforce made major announcements last night about Chatter , their social business platform, that is now more Internet facing. I once called Chatter an enterprise social operating system and this makes it even more true now. 9:35 – It’s not just about consumers, it’s about the enterprise.

Social 51

Social Enterprise Network Mobile 51

Altexsoft

MAY 31, 2019

Using analytics and big data, the software can analyze shipping history and improve clients’ operations that will minimize logistical costs and reduce shipment delivery times. Applying Business Intelligence, the software can develop performance metrics and KPIs, and create computer models to predict supply chain issues.

Transportation 85

Transportation Systems Review Software Review System 85

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Stream” itself was No.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Technological perspective: First attempts at building data pipelines.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

FEBRUARY 3, 2020

A study reveals that data-driven organizations are 23 times more likely to acquire customers than their less proactive competitors. This is only one but a very important parameter that proves the power of big data in modern business operations. What does it mean in practical terms? Sequentum Content Grabber.

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Datavail

SEPTEMBER 8, 2022

Big data presents challenges in terms of volume, velocity, and variety—but that doesn’t mean you have to suffer from a bloated IT ecosystem to address these challenges. In fact, many businesses can realize significant advantages from streamlining their data integration pipelines, trimming away unnecessary tools and services.

Data 40

Data Nonprofit Quality Assurance Education 40