Altexsoft

MARCH 16, 2021

In this article, we will explain the concept and usage of Big Data in the healthcare industry and talk about its sources, applications, and implementation challenges. What is Big Data and its sources in healthcare? So, what is Big Data, and what actually makes it Big?

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Big Data Healthcare Applications Data 116

DataRobot

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. DataRobot Booth at Big Data & AI Toronto 2022. Today, his team is using open-source packages without a standardized AI platform.

Big Data 96

Big Data Conference Trends Data 96

Toptal

DECEMBER 20, 2022

Today’s cloud building blocks empower any size team—even a lone engineer—to build big data solutions. Learn how to use open-source tools to create scalable architecture for your next project.

Big Data 80

Big Data Architecture Open Source Data 80

Altexsoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? scalability.

Big Data 98

Big Data Tools Data Storage 98

The Crazy Programmer

FEBRUARY 7, 2025

Handling this colossal data is tough; hence it requires NoSQL. These databases are more agile and provide scalable features; also, they are a better choice to handle the vast data of the customers and find crucial insights. Apache HBase Apache HBase is an open-source database, and it is a kind of Hadoop database.

Open Source 130

Open Source Scalability Firewall Linux 130

CTOvision

FEBRUARY 20, 2015

Hortonworks'' Hadoop Data Platform (HDP) is now a supported feature on Google Cloud. This new feature will allow dynamic provisioning of HDP clusters on the Google Cloud Platform, providing scalability for enterprise-wide solutions employing HDP, as well as providing a means for rapidly setting up prototyping and development environments.

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

G2 Crowd Software

DECEMBER 5, 2017

Free and open-source database tools are typically more appealing to the everyday small business and app creator, so we’ve outlined some of the best ones, according to user reviews on G2 Crowd. Oracle released the first fully functional one in 1979, but today there are hundreds of proprietary and open-source options available.

Open Source 61

Open Source Software Review Software Technical Review 61

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

Datavail

NOVEMBER 6, 2023

In the realm of distributed databases, Apache Cassandra has established itself as a robust, scalable, and highly available solution. Understanding Apache Cassandra Apache Cassandra is a free and open-source distributed database management system designed to handle large amounts of data across multiple commodity servers.

Open Source 58

Open Source Scalability Analytics Database Administration 58

CTOvision

JUNE 15, 2015

You know Spark, the free and open source complement to Apache Hadoop that gives enterprises better ability to field fast, unified applications that combine multiple workloads, including streaming over all your data. They also launched a plan to train over a million data scientists and data engineers on Spark.

Open Source 117

Open Source Machine Learning Artificial Inteligence Big Data 117

CTOvision

MARCH 14, 2014

By Michael Johnson For enterprise technology decision-makers, functionality, interoperability, scalability security and agility are key factors in evaluating technologies. Pentaho has long been known for functionality, scalability, interoperability and agility. ” “Big data technologies are advancing at speeds like never before.

Big Data 107

Big Data Business Analytics Company Analytics 107

AWS Machine Learning - AI

NOVEMBER 20, 2024

Aurora MySQL-Compatible is a fully managed, MySQL-compatible, relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. She has experience across analytics, big data, ETL, cloud operations, and cloud infrastructure management.

Data 107

Data AWS Groups Knowledge Base 107

The Crazy Programmer

SEPTEMBER 24, 2021

Handling this colossal data is tough; hence it requires NoSQL. These databases are more agile and provide scalable features; also, they are a better choice to handle the vast data of the customers and find crucial insights. Apache HBase is an open-source database, and it is a kind of Hadoop database. Apache HBase.

Open Source 124

Open Source Scalability Firewall Linux 124

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. Silent Sound Technology.

Engineering 270

Engineering Wireless 3D Programming 270

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

Hacker Earth Developers Blog

JANUARY 22, 2020

This can be attributed to the fact that Java is widely used in industries such as financial services, Big Data, stock market, banking, retail, and Android. Pandas is a widely used tool, particularly in data munging and wrangling. It is available for everyone as an open-source, free-to-use project.

Technical Review 216

Technical Review Machine Learning Artificial Inteligence Software Review 216

CTOvision

JUNE 3, 2014

Many players delivered niche solutions for encrypting data, but not so long ago most solutions I saw introduced new weaknesses for each solution. Cloudera is continuing to invest broadly in the open source community to support and accelerate security features into project Rhino—an open source effort founded by Intel in early 2013.

Big Data 108

Big Data Open Source Weak Development Team Compliance 108

Altexsoft

NOVEMBER 30, 2018

February 1998 became one of the notable months in the software development community: The Open Source Initiative (OSI) corporation was founded and the open source label was introduced. The term represents a software development approach based on collaborative improvement and source code sharing. Well, it doesn’t.

Open Source 60

Open Source Software Review Software How To 60

Openxcell

JUNE 9, 2023

All this raw information, patterns and details is collectively called Big Data. Big Data analytics,on the other hand, refers to using this huge amount of data to make informed business decisions. Let us have a look at Big Data Analytics more in detail. What is Big Data Analytics?

Big Data 52

Big Data Analytics Tools Data 52

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

CTOvision

OCTOBER 18, 2013

With the continuous development of advanced infrastructure based around Apache Hadoop there has been an incredible amount of innovation around enterprise “Big Data” technologies, including in the analytical tool space. H2O by 0xdata brings better algorithms to big data. Mike really nailed it with that one.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Altexsoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

Big Data 59

Big Data Data Google Cloud Open Source 59

Cloudera

NOVEMBER 19, 2020

Too often, though, legacy systems cannot deliver the needed speed and scalability to make these analytic defenses usable across disparate sources and systems. For many agencies, 80 percent of the work in support of anomaly detection and fraud prevention goes into routine tasks around data management.

Government 119

Government Artificial Inteligence Data Machine Learning 119

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. User data collection is data about a user who is collected for market research purposes.

Big Data 52

Big Data Data Development Business Intelligence 52

The Citus Data

JANUARY 24, 2019

Today, I’m very excited to announce the next chapter in our company’s journey: Microsoft has acquired Citus Data. When we founded Citus Data eight years ago, the world was different. Clouds and big data were newfangled. This brought the rise of Hadoop and all the other NoSQL databases people were creating at the time.

Data 78

Data Open Source Scalability Big Data 78

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

Kentik

DECEMBER 12, 2017

However, as enterprises and service providers put their 2018 tech budgets into action, we’re here to point out one DIY networking trend where the fine print is worth reading: Open source network flow analyzers. It’s much more doable now than ever with open source building blocks readily available. Open API access.

Open Source 40

Open Source Network Big Data Storage 40

Cloudera

JUNE 13, 2024

There were thousands of attendees at the event – lining up for book signings and meetings with recruiters to fill the endless job openings for developers experienced with MapReduce and managing Big Data. This was the gold rush of the 21st century, except the gold was data.

Artificial Inteligence 103

Artificial Inteligence Big Data Technical Review Machine Learning 103

CIO

DECEMBER 13, 2022

By Jeff Carpenter You might have heard of Apache Cassandra, the open-source NoSQL database. And you might know that some big, very successful companies rely on it, including LinkedIn, Netflix, The Home Depot, and Apple. Split the data among multiple machines and create a distributed system. Why Cassandra?

Disaster Recovery 88

Disaster Recovery Open Source Data Center Scalability 88

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.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

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

The Accidental Successful CIO

OCTOBER 28, 2015

In order to perform Big Data operations, you need the right type of database. Hadoop is an open source database for dealing with big data that CIOs are getting excited over. CEOs and those in the CIO position have become convinced that the future of IT involves Big Data.

Big Data 74

Big Data Open Source Data Enterprise 74

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.

Data 101

Data Storage Architecture Big Data 101

O'Reilly Media - Ideas

JUNE 18, 2019

Since they consume a significant amount of time spent on most data science projects, we highlight these two main classes of data quality problems in this post: Data unification and integration. Data unification and integration. business and quality rules, policies, statistical signals in the data, etc.).

Data 111

Data Machine Learning Artificial Inteligence Training 111

Hacker Earth Developers Blog

JANUARY 22, 2020

This can be attributed to the fact that Java is widely used in industries such as financial services, Big Data, stock market, banking, retail, and Android. Pandas is a widely used tool, particularly in data munging and wrangling. It is available for everyone as an open-source, free-to-use project.

Technical Review 26

Technical Review Machine Learning Artificial Inteligence Software Review 26

Altexsoft

JUNE 25, 2019

Data architect can also design collective storage for your data warehouse – multiple databases running in parallel. This will improve the warehouse’s scalability. Adding business context to data, metadata helps transform it into comprehensible knowledge. Metadata defines how data can be changed and processed.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106