TechCrunch

OCTOBER 18, 2022

The 10/10-rated Log4Shell flaw in Log4j, an open source logging software that’s found practically everywhere, from online games to enterprise software and cloud data centers, claimed numerous victims from Adobe and Cloudflare to Twitter and Minecraft due to its ubiquitous presence. Image Credits: AppMap.

Software Review 237

Software Review Weak Development Team Analysis Tools 237

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? How does it work?

Big Data 98

Big Data Tools Data Storage 98

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. . Data Warehousing.

Engineering 270

Engineering Wireless 3D Programming 270

CTOvision

FEBRUARY 20, 2015

Qubole adds Apache Spark to its Big Data-as-a-Service platform (sdtimes.com). An Open Microsoft: Azure HDInsight Available for Linux (windowsitpro.com). IBM makes big data push (channeleye.co.uk). MapR Enables the Real-Time, Data-Centric Enterprise (insidebigdata.com).

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

The Accidental Successful CIO

AUGUST 14, 2013

It’s How The CIO puts the pieces together that makes big data valuable Image Credit. The era of big data has arrived. CIOs everywhere are swimming in a sea of data and only now are they starting to get the tools that will allow them to make sense of what they have. Solutions To Your Big Data Backup Problem.

Big Data 73

Big Data Backup Data Storage 73

TechCrunch

DECEMBER 1, 2020

And as data workloads continue to grow in size and use, they continue to become ever more complex. On top of that, today there are a wide range of applications and platforms that a typical organization will use to manage source material, storage, usage and so on. Doing so manually can be time-consuming, if not impossible.

Tools 214

Tools Data Weak Development Team Big Data 214

Linux Academy

JANUARY 1, 2020

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Jenkins Quickstart. AWS Essentials.

Linux 31

Linux Course AWS Google Cloud 31

CIO

JUNE 7, 2022

Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analysts and others who work with analytics use a range of tools to aid them in their roles.

Analytics 203

Analytics Data Analysis Business Analytics 203

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

NOVEMBER 17, 2013

This power and drop in price applies not just to processors but storage. The prediction this leads us to is a simple one, we will be able to store and process more data in the future and will do so more economically. Open source avoids this lock-in and does so economically. Why do we care? It is a basic requirement.

Open Source 115

Open Source Big Data Linux Hardware 115

Linux Academy

JANUARY 30, 2020

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” Jenkins Quickstart. AWS Essentials.

Linux 29

Linux Course AWS Google Cloud 29

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. Storage provisioning.

Big Data 63

Big Data Data Storage Microservices 63

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

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. Related articles.

Big Data 64

Big Data Analytics Agile System 64

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. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

CIO

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Check out our list of top big data and data analytics certifications.)

Artificial Inteligence 190

Artificial Inteligence Data Machine Learning Azure 190

CTOvision

AUGUST 13, 2016

The world's first memory-centric distributed storage system bridges applications and underlying storage systems providing unified data access orders of magnitudes faster than existing solutions. Alluxio is a memory speed virtual distributed storage system. Alluxio, Inc. For more information see: [link].

Storage 61

Storage Virtualization System Open Source 61

AWS Machine Learning - AI

NOVEMBER 20, 2024

In this post, we explore how you can use Amazon Q Business , the AWS generative AI-powered assistant, to build a centralized knowledge base for your organization, unifying structured and unstructured datasets from different sources to accelerate decision-making and drive productivity. Data Engineer at Amazon Ads.

Data 106

Data AWS Groups Knowledge Base 106

O'Reilly Media - Data

MAY 3, 2018

There are already systems for doing BI on sensitive data using hardware enclaves , and there are some initial systems that let you query or work with encrypted data (a friend recently showed me HElib , an open source, fast implementation of homomorphic encryption ).

Analytics 186

Analytics Artificial Inteligence Data Machine Learning 186

Datavail

NOVEMBER 6, 2023

Known for its ability to handle massive amounts of data across multiple nodes with no single point of failure, Cassandra has become a popular choice for organizations dealing with big data and real-time applications. It follows a peer-to-peer architecture, employing a decentralized approach to data storage and replication.

Open Source 58

Open Source Scalability Analytics Database Administration 58

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

CTOvision

MARCH 12, 2015

IT Efficiency covers offloading ETL to free up data warehouse capacity; improving storage efficiency using Hadoop as an archive; and combining High Performance Computing with Hadoop. All reference using Hortonworks Data Platform to build an enterprise-level Hadoop platform. You can download this white paper by clicking here.

Research 81

Research Open Source Government Storage 81

The Crazy Programmer

FEBRUARY 7, 2025

Apache HBase Apache HBase is an open-source database, and it is a kind of Hadoop database. Its feature is that it can easily read and write the vast data that a company has stored. It is designed to handle the billions of rows and columns of the companys data. 8 Best NoSQL Databases in 2024 1.

Open Source 130

Open Source Scalability Firewall Linux 130

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. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

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

Linux Academy

DECEMBER 1, 2019

Students will learn by doing through installing and configuring containers and thoughtfully selecting a persistent storage strategy. Big Data Essentials. Big Data Essentials is a comprehensive introduction addressing the large question of, “What is Big Data?” AWS Essentials.

Linux 26

Linux Course AWS Google Cloud 26

CTOvision

JANUARY 22, 2014

By Bob Gourley Editor’s note: we have met and had discussions with the leadership of MemSQL and are excited for the virtuous capabilities they bring to enterprise IT (see, for example, our interview with Eric Frenkiel and their position on our Top Enterprise Big Data Tech List ). Prominent Investors Enthusiastic about a $32.4

Enterprise 110

Enterprise Company Big Data Analytics 110

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

The Crazy Programmer

SEPTEMBER 24, 2021

Apache HBase is an open-source database, and it is a kind of Hadoop database. Its feature is that it can easily read and write the vast data that a company has stored. It is designed to handle the billions of rows and columns of the company’s data. 8 Best NoSQL Databases in 2021. Apache HBase. Apache CouchDB. Conclusion.

Open Source 124

Open Source Scalability Firewall Linux 124

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. 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. Supports Disaggregation of compute and storage.

Data 101

Data Storage Architecture Big Data 101

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

Cloudera announced support for Accumulo in 2013 as part of their ongoing commitment to open source software. We have been impressed with Koverse’s technology and people, and their commitment to helping customers make better use of big data more quickly. About Cloudera.

Enterprise 105

Enterprise Big Data Data Analytics 105

Cloudera

FEBRUARY 7, 2019

This data is sensitive in nature – so the highest of security protocols need to be maintained, while enabling the majority of business decisions to leverage this key information through the organization’s analytics and reporting capabilities. ATB Financial is also the first to use SAS Viya to interface between SAS tools and HDP.

Big Data 67

Big Data Analytics Google Cloud Cloud 67

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

Linux Academy

APRIL 30, 2019

You learn the basic knowledge of computer hardware, gain an understanding of open-source applications in the workplace, and learn to navigate systems on a Linux desktop, as well as rudimentary commands to navigate the Linux command line. Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of big data.

Linux 113

Linux AWS Big Data Course 113

taos

OCTOBER 16, 2019

Big Data Meets Big Compute First Published: November 12, 2012 By Simon Karpen?—?Taos Taos Practice Leader Supercomputing is the International Conference for High-Performance Computing (HPC), Networking, Storage and Analysis. One of the overriding themes of the conference tutorials and workshops is big data.

Big Data 40

Big Data Meeting Data Conference 40

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