Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

The Crazy Programmer

DECEMBER 13, 2020

Big Data Analysis for Customer Behaviour. Big data is a discipline that deals with methods of analyzing, collecting information systematically, or otherwise dealing with collections of data that are too large or too complex for conventional device data processing applications. .” CORBA Technology.

Engineering 270

Engineering Wireless 3D Programming 270

CTOvision

JULY 2, 2015

What this now allows is more deployment options for customer’s big data workloads, adding more choices to an ecosystem of hardware and cloud configurations. Enterprises can now leverage the stability, security and reliability of Red Hat Enterprise Linux and SAP HANA to run public cloud-based big data workloads.

Linux 114

Linux AWS Enterprise Big Data 114

CIO

MARCH 9, 2022

But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Artificial Inteligence 178

Artificial Inteligence Data Artificial Intelligence Analytics 178

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Key challenges. Performance.

Big Data 63

Big Data Data Storage Microservices 63

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data 78

Big Data Analytics Tools Applications 78

CTOvision

MAY 24, 2016

has announced the launch of the Cray® Urika®-GX system -- the first agile analytics platform that fuses supercomputing technologies with an open, enterprise-ready software framework for big data analytics. The Cray Urika-GX system is designed to eliminate challenges of big data analytics.

Big Data 64

Big Data Analytics Agile System 64

CTOvision

AUGUST 7, 2014

Hadoop-based machine and log data management solution offers dramatic improvements in scalability, manageability and total cost of ownership. a leading large-scale machine and log data management company, today announced the general availability of X15 EnterpriseTM, a revolutionary machine and log data management solution.

Enterprise 101

Enterprise Software Data Big Data 101

CIO

FEBRUARY 5, 2024

Mashreq initiated a strategy to modernize its core systems globally, aiming for open, modular, and scalable solutions through infrastructure upgrades. Mashreq embarked on a strategic initiative to modernize its global core systems, aiming for solutions that are open, modular, and scalable through crucial infrastructure upgrades.

Banking 179

Banking Artificial Inteligence Blockchain Scalability 179

CTOvision

JANUARY 15, 2014

The enterprise data hub is the emerging and necessary center of enterprise data management, complementing existing infrastructure. The joint development work focuses on Apache Accumulo, the scalable, high performance distributed key/value store that is part of the Apache Software Foundation. About Cloudera. www.cloudera.com.

Enterprise 105

Enterprise Big Data Data Analytics 105

TechCrunch

AUGUST 19, 2021

. “We believe we’re the first cloud-native platform for seafloor data,” said Anthony DiMare, CEO and cofounder (with CTO Charlie Chiau) of Bedrock. “This is a big data problem — how would you design the systems to support that solution?

Technical Cofounder 258

Technical Cofounder Cloud Data Off-The-Shelf 258

CTOvision

MAY 27, 2014

Scalable – Likewise it doesn’t matter how much data you have. LUX is capable of handling billions of events per day utilizing commodity hardware. End-User Empowerment – LUX is built for end user analysts and SME’s – NO programmers, NO data base analysts, NO data scientist needed. Analysis Big Data Business LUX'

Data 101

Data Analytics Big Data Artificial Inteligence 101

CTOvision

APRIL 13, 2015

Built on a commodity compute platform and scalable up to 1000 TB, Pandion provides real-time Capture-to-Disk with zero packet loss at speeds up to 100 Gbps. Hardware based PTP (precision time protocol) timing ensures nanosecond-precision time stamping for every captured packet to allow for high fidelity analysis and replay of captured data.

Big Data 88

Big Data Analysis Architecture Hardware 88

Erik Bernhardsson

APRIL 26, 2013

The simple way to get featured on big data blog these days seem to be. Horizontal scalability comes at a very high price, because things get I/O bound. That’s fine, because you can always throw more hardware at the problem. Build something that does 1 thing super well but nothing else. Benchmark it against Hadoop.

Hardware 100

Hardware Big Data Scalability Tools 100

Erik Bernhardsson

APRIL 26, 2013

The simple way to get featured on big data blog these days seem to be. Horizontal scalability comes at a very high price, because things get I/O bound. That’s fine, because you can always throw more hardware at the problem. Build something that does 1 thing super well but nothing else. Benchmark it against Hadoop.

Hardware 100

Hardware Big Data Scalability Tools 100

CTOvision

AUGUST 13, 2016

Samsara’s team includes veteran executives and technical leaders from companies including Google, Apple, and Meraki, who bring experience in big data, cloud software, and hardware design. Meraki was acquired by Cisco for $1.2 For more on Samsara see: https://www.samsara.com.

Internet 61

Internet Scalability IoT Wireless 61

Altexsoft

MAY 20, 2020

Namely, these layers are: perception layer (hardware components such as sensors, actuators, and devices; transport layer (networks and gateway); processing layer (middleware or IoT platforms); application layer (software solutions for end users). Perception layer: IoT hardware. How an IoT system works.

IoT 141

IoT Azure AWS Transportation 141

CIO

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Innovation 153

Innovation Artificial Inteligence Data Serverless 153

TechCrunch

MAY 21, 2021

And the transaction itself, in conjunction with the previously announced Desktop Metal blank-check deal, implies that there is space in the market for hardware startup liquidity via SPACs. Perhaps that will unlock more late-stage capital for hardware-focused upstarts. So, let’s explore the data. Currently, the world produces 2.5

Marketing 244

Marketing Technical Review Software Review Windows 244

CIO

JUNE 14, 2023

Big data exploded onto the scene in the mid-2000s and has continued to grow ever since. Today, the data is even bigger, and managing these massive volumes of data presents a new challenge for many organizations. Even if you live and breathe tech every day, it’s difficult to conceptualize how big “big” really is.

Data 97

Data Scalability Storage Big Data 97

Cloudera

APRIL 22, 2021

Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Businesses are also looking to move to a scale-out storage model that provides dense storages along with reliability, scalability, and performance. Standard Benchmarks.

Data 101

Data Storage Architecture Big Data 101

Mobilunity

FEBRUARY 12, 2025

Python in Web Application Development Python web projects often require rapid development, high scalability to handle high traffic, and secure coding practices with built-in protections against vulnerabilities. Lets explore some of the most common ones in detail.

Programming 40

Programming Applications Software Review Systems Review 40

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

Kaseya

NOVEMBER 9, 2023

The virtual machines also efficiently use the hardware hosting them, giving a single server the ability to run many virtual servers. This transforms data centers into highly efficient hubs capable of serving multiple organizations concurrently at a remarkably economical cost.

Cloud 105

Cloud Disaster Recovery Infrastructure Artificial Inteligence 105

Hu's Place - HitachiVantara

OCTOBER 9, 2018

These Innovations include: DS7000 Scalable Servers , NVIDIA Tesla GPUs , All NVMe , and 3D XPoint storage memory. DS7000 Scalable Servers Hitachi Advanced Server DS7000 Series of Scalable Servers are built with a unique modular architecture which can be configured and scaled to meet the needs of a wide variety of application workloads.

3D 61

3D Scalability Storage Technology 61

Cloudera

AUGUST 26, 2020

Informatica’s comprehensive suite of Data Engineering solutions is designed to run natively on Cloudera Data Platform — taking full advantage of the scalable computing platform. This allows our customers to reduce spend on highly specialized hardware and leverage the tools of a modern data warehouse. .

Data 84

Data Artificial Inteligence Machine Learning Disaster Recovery 84

Kaseya

MAY 13, 2021

In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Scalability and Elasticity.

Google Cloud 122

Google Cloud Azure AWS Cloud 122

CTOvision

DECEMBER 16, 2014

In particular, this year at SC14 DDN (Data Direct Networks) announced several new additions to its product line, as well as some updates to existing products, that have raised the bar for high performance, scalable storage systems. For more information on how DDN is empowering data intensive analytics and HPC you can contact them here.

Storage 104

Storage Analytics System Data 104

RapidValue

APRIL 20, 2020

Traditional load balancing solutions believe in proprietary hardware housed during a data center, and need a team of sophisticated IT personnel to put in, tune, and maintain the system. Only large companies with big IT budgets can reap the advantages of improved performance and reliability. Fortunately, software?based

Load Balancer 80

Load Balancer Resources Cloud Performance 80

Altexsoft

MARCH 18, 2021

As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. Basically, ELT inverts the last two stages of the ETL process, meaning that after being extracted from databases data is loaded straight into a central repository where all transformations occur. ELT comes to the rescue.

Systems Review 109

Systems Review Technical Review Software Review Big Data 109

Confluent

OCTOBER 10, 2019

Most scenarios require a reliable, scalable, and secure end-to-end integration that enables bidirectional communication and data processing in real time. with the datacenter (on premises, cloud, and hybrid) to be able to process IoT data. License costs and modification of the existing hardware are required to enable OPC UA.

IoT 20

IoT Internet Weak Development Team Scalability 20

Cloudera

AUGUST 11, 2021

CIOs and CFOs have regular headaches about handling all those point-product vendors and their legalese, rules, and regulations — not to mention limitations of how each product plays in a proprietary system with lots of other software and hardware that may not align well. This is even more evident with big data.

Systems Review 121

Systems Review Storage Software Review Enterprise 121

RapidValue

DECEMBER 14, 2020

There are also factors like availability, accessibility, flexibility, scalability and security involved which make it a viable business strategy with massive economic advantages. On-demand Computing: The cloud technologies enable businesses to avail of computing resources on demand without investing in specific hardware and software.

Cloud 98

Cloud Data Center Scalability Enterprise 98

CTOvision

MARCH 10, 2016

Alineos provides turnkey solutions that integrate the latest technology to offer French enterprises, universities, public sector departments, and research houses scalable, customised, and high-end HPC solutions.

Technical Review 61

Technical Review Software Review Big Data Hardware 61

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Lineage and chain of custody, advanced data discovery and business glossary.

Cloud 132

Cloud Systems Review Technical Review Software Review 132

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

Mobilunity

MARCH 25, 2025

It also provides insights into each language’s cost, performance, and scalability implications. Given its clear syntax, integration capabilities, extensive libraries with pre-built modules, and cross-platform compatibility, it has remained at the top for fast development, scalability, and versatility.

Software Review 40

Software Review Software Development Software Development 40