MagmaLabs

APRIL 25, 2023

Unlike an app, it loads rapidly, doesn’t eat into the storage space of devices, delivers a much better browsing experience, and users can access the app with just one click. Big Data The term “big data” is used to describe large and complex data sets. dollars, up from around 241 billion in 2021.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

Altexsoft

MAY 12, 2023

This article delves into the realm of unstructured data, highlighting its importance, and providing practical guidance on extracting valuable insights from this often-overlooked resource. We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis.

Examples 59

Examples Tools Data Artificial Inteligence 59

CTOvision

DECEMBER 8, 2015

Digital companies have taken the lead in this next phase of data-driven decision-making, but it’s now extending across more kinds of organizations and more areas within organizations. Smart CTOs recognize the wealth of data trapped in silos across their business. What Is Zero Trust Data?

Big Data 62

Big Data Organization Data Business Intelligence 62

Kentik

FEBRUARY 14, 2023

Through instrumentation, integrations, automated analysis, visualizations, and a full suite of data management features, data platforms offer data managers and engineers a unique opportunity to interact with distributed data at a scale that would otherwise exist in siloed data infrastructures.

Network 52

Network Data Artificial Inteligence Analysis 52

TechCrunch

JUNE 25, 2021

He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. But that’s not real-time and also involves moving a lot of data from where it’s generated to a centralized warehouse. That whole model is breaking down.” ” Image Credits: Edge Delta.

Machine Learning 210

Machine Learning Artificial Inteligence Big Data Business Intelligence 210

Altexsoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

JUNE 25, 2019

It’s necessary to figure out how to get sales data from its dedicated database talk with inventory records kept in a SQL server , for instance. This creates the necessity for integrating data in unified storage where data is collected, reformatted, and ready for use – data warehouse. Data warehouse storage.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

RapidValue

MARCH 4, 2021

As we all know, Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. The normal cost for storage will apply for storing the access logs in the bucket. Enable encryption of data at rest and in transit.

Storage 78

Storage AWS Policies Scalability 78

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 Lake.

Organization 52

Organization Artificial Inteligence Data Artificial Intelligence 52

Perficient

JULY 4, 2023

This approach is often used when the destination system has the capability to perform complex transformations and data manipulation. ELT is becoming more popular with the rise of cloud-based data warehouses and big data platforms that can handle large-scale data processing and transformation.

Big Data 52

Big Data Scalability Analysis Performance 52

Kentik

NOVEMBER 16, 2015

KDE handles over 10B flow records/day with a microservice architecture that's optimized using metrics. Here at Kentik, our Kentik Detect service is powered by a multi-tenant big data datastore called Kentik Data Engine. And that leads us to metrics. Workers are processes that run on our storage nodes.

Metrics 40

Metrics Microservices Linux Architecture 40

Apiumhub

MARCH 23, 2021

The concept of Data lake architecture has recently become a hot topic. These days, businesses use data to define their internal business objectives and metrics. Data Lakes offer agile analytics to measure you are continually evolving business. Data lakes really became the cornerstones of modern big data architecture.

Architecture 52

Architecture Artificial Inteligence Data Machine Learning 52

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Infrastructure cost optimization by converting a fixed cost structure that previously consisted of infrastructure and cloud subscription costs per node into a variable cost model in the cloud based on actual consumption.

Storage 95

Storage Azure Technical Review Database Administration 95

Altexsoft

FEBRUARY 11, 2020

With the rise of big data, organizations are collecting and storing more data than ever before. This data can provide valuable insights into customer needs and assist in creating innovative products. Unfortunately, this also makes data valuable to hackers, seeking to infiltrate systems and exfiltrate information.

Tools 109

Tools Linux Analysis Open Source 109

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. Kafka topic and partition.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

RapidValue

NOVEMBER 10, 2020

Cloud optimization helps: To maximize the efficiency of your servers, storage, and databases. In providing improved security and compliance. Compress Data Before Storage – Compressing data reduces your storage requirements. Subsequently, reducing the cost of storage.

AWS 98

AWS Cloud How To Storage 98

Kentik

NOVEMBER 28, 2016

How Service Providers Can Seize the Cybersecurity Opportunity. While Tier 1 communications providers have long made extensive cybersecurity capabilities part of their managed services portfolios, the offerings of Tier 2 telcos — hosting providers, ISPs, and MSPs — have typically been more limited. Big Data Enhances Accuracy.

Security 40

Security Big Data Analytics Network 40

Apps Associates

MARCH 24, 2022

X2idn has a 16:1 ratio of memory to vCPU and X2iedn has a 32:1 ratio, making these instances a great fit for workloads such as in-memory databases and analytics, big data processing engines, and Electronic Design Automation (EDA) workloads. Starting today, you can grow your SSD storage capacity for the active portion of your data.

AWS 52

AWS Backup Firewall Storage 52

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. This adds to the security of the driver and betters the driving experience like no other.

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

TechCrunch

JANUARY 16, 2021

Mainstay sectors like cybersecurity continue to matter, they said, but are maturing ( more about that here ). Some people are more excited by emerging areas like artificial intelligence, which has been a focus of the country’s military for years, and like cybersecurity is now producing many fresh teams of founders. More than 50%?

Technical Review 354

Technical Review Software Review Trends Systems Review 354

Linux Academy

MAY 28, 2019

Additionally, we will cover how to use App Service Environments (ASE) to host a dedicated environment for securing and running App Service apps at scale. Whether you are aggregating log files, system resource utilization metrics, or application data, Splunk is there to centralize your IT data for easy search and visualization.

Linux 104

Linux AWS Azure Technical Review 104

Sunflower Lab

OCTOBER 2, 2023

Microsoft Azure’s Synapse Analytics is an integrated platform solution that brings together the capability of data warehousing, data connectors, ETL pipelines, analytics tools, and services, as well as the scale for big data, visualization, and dashboards.

Azure 40

Azure Analytics UI/UX Software Review 40

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. Real-life applications: Finding dependencies and reasoning behind data.

Analytics 102

Analytics Technical Review Technology Applications 102

Kentik

JUNE 6, 2017

How Big Data Network Intelligence Enables Institutional Success. For traditional business it’s typically a matter of metrics like market share, revenue growth, and profit. An organizational orientation to “data-drivenness” helps to deliver on a solid IT foundation.

Education 40

Education Network Big Data Software Review 40

Kentik

APRIL 23, 2018

Predictive analytics uses historical data to predict future events. In the context of IT practices, the analytics are gaining in interest, in part, due to advances in supporting technologies, such as big data, machine learning, and artificial intelligence. Big Data and Cloud-Scale Resources to the Rescue.

Analytics 40

Analytics Artificial Inteligence Network Performance 40

Datavail

JUNE 9, 2020

Oracle services such as Oracle Database Cloud and OCI Object Storage. Cloud data warehouses such as Google BigQuery and Snowflake. The platform also has a separate module Oracle GoldenGate for Big Data , which supports replication into many big data NoSQL targets. NoSQL databases. Automation. Conclusion.

Innovation 59

Innovation Microservices Azure Big Data 59

Linux Academy

JUNE 25, 2019

Cloud Security Fundamentals. One thing often forgotten about during implementation is security. This course is designed around introducing students to cloud concepts and securing those using the tools available. Big Data Essentials. ” Using real-world examples, we highlight the growing importance of Big Data.

Linux 60

Linux Course Cloud Google Cloud 60

Kentik

APRIL 16, 2018

We live in the age of analytics, powered by incredible advances in distributed computing and big data technology. Companies are turning to data and analytics to improve all aspects of how they do business. Application performance metrics. Syslog data from various servers and network elements.

Performance 40

Performance Cloud Big Data KPI 40

Openxcell

JANUARY 18, 2022

It provides features like collaborative coding, project management, and automation as well as security features. Known for its rapid delivery, this DevOps tool does everything from planning to delivery to monitoring and security. Besides, it provides a single interface and single data storage to manage the projects efficiently.

DevOps 52

DevOps Tools Open Source Testing 52

OTS Solutions

MAY 2, 2023

With IoT solutions , businesses can collect data remotely and use it to optimize operations, enhance customer experiences, and develop new revenue streams. It provides a secure and transparent way to store and transfer data, making it ideal for financial transactions, supply chain management, and other processes.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Altexsoft

NOVEMBER 5, 2021

Health information management (HIM) is a set of practices to organize medical data so that it can be effectively used for enhancing the quality of care. It aims at making the right health content accessible whenever it’s required, at the same time ensuring its high quality and security. Supported data formats.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Apiumhub

MARCH 16, 2021

Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. It has become a necessary tool in the era of big data. It is a suite of software and services to transform data into actionable intelligence and knowledge. Metric Insights.

Business Intelligence 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Altexsoft

APRIL 23, 2021

This data is an inevitable part of a cohesive ecosystem known as the Internet of Medical Things (IoMT). We’ve already addressed the subject of IoMT in our article devoted to the role of Big Data in healthcare. All devices in their nature are quite limited in terms of processing power and storage capacity.

Healthcare 64

Healthcare Internet IoT Systems Review 64

Altexsoft

SEPTEMBER 21, 2023

Analysis of logs, metrics, and security events. With Elasticsearch, you can aggregate and analyze large streams of logs, metrics, and security events in near real-time, making it indispensable for system monitoring and security information and event management (SIEM). Real-time behavior modeling with ML.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Openxcell

DECEMBER 18, 2023

It refers to making calculated decisions based on past patterns in current and historical data. Security and Fraud Prevention Another added benefit of AI in applications is its ability to detect abnormalities in inputs, outputs, security breaches, identify unauthorized transactions, and more without human intervention or their limitations.

Artificial Inteligence 52

Artificial Inteligence Applications Development Artificial Intelligence 52

CTOvision

JANUARY 21, 2014

Please submit your topics in accordance with the below (From: [link] ): Data Science Symposium 2014. It is set apart from related symposia by our emphasis on advancing data science technologies through: Benchmarking of complex data-intensive analytic systems and subcomponents. Major forms of analytics employed in data science.

Technical Review 112

Technical Review Data Hotels Analytics 112

Kentik

JULY 20, 2018

NetFlow analyzer : An analysis application that provides tabular, graphical and other tools and visualizations to enable network operators and engineers to analyze flow data for various use cases, including network performance monitoring, troubleshooting, identifying security threats and capacity planning.

Big Data 40

Big Data Analysis Network Storage 40