O'Reilly Media - Data

JUNE 5, 2018

As enterprises mature their big data capabilities, they are increasingly finding it more difficult to extract value from their data. This is primarily due to two reasons: Organizational immaturity with regard to change management based on the findings of data science.

Data 167

Data Big Data Systems Review Technical Review 167

CIO

JANUARY 20, 2023

Some are relying on outmoded legacy hardware systems. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. The most innovative unstructured data storage solutions are flexible and designed to be reliable at any scale without sacrificing performance.

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

Hu's Place - HitachiVantara

SEPTEMBER 17, 2018

Big data refers to the use of data sets that are so big and complex that traditional data processing infrastructure and application software are challenged to deal with them. Big data is associated with the coming of the digital age where unstructured data begins to outpace the growth of structured data.

Big Data 55

Big Data Systems Review Virtualization System 55

The Crazy Programmer

NOVEMBER 14, 2021

Because the concern of data security has risen due to hacking and malware issues. And companies are looking for cloud-based systems for more secure options. Companies like Facebook, Instagram, and other similar companies have hosted their customer’s data on cloud-based platforms. Conclusion.

Cloud 203

Cloud Technical Review Systems Review Azure 203

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

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

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

Perficient

MARCH 27, 2025

Deletion vectors are a storage optimization feature that replaces physical deletion with soft deletion. Physically removing rows can cause performance degradation due to file rewrites and metadata operations. Instead of physically deleting data, a deletion vector marks records as deleted at the storage layer.

Compliance 64

Compliance Systems Review Policies Storage 64

CTOvision

APRIL 20, 2017

Big data has almost always been primarily used to target clients using tailored products, targeted advertising. This has skewed the use of big data that often everyone simply assumes big data is for targeting the customer base. In turn, you’ll be able to address, production, packaging and storage issues.

Big Data 75

Big Data eLearning Data Culture 75

TechCrunch

MAY 21, 2021

Almost half of all Americans play mobile games, so Alex reviewed Jam City’s investor deck, a transcript of the investor presentation call and a press release to see how it stacks up against Zynga, which “has done great in recent quarters, including posting record revenue and bookings in the first three months of 2021.”

Marketing 244

Marketing Technical Review Software Review Windows 244

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

AWS Machine Learning - AI

NOVEMBER 20, 2024

The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket. Solution overview Amazon Q Business is a fully managed, generative AI-powered assistant that helps enterprises unlock the value of their data and knowledge.

Data 110

Data AWS Groups Knowledge Base 110

AWS Machine Learning - AI

APRIL 9, 2025

Its essential for admins to periodically review these metrics to understand how users are engaging with Amazon Q Business and identify potential areas of improvement. We begin with an overview of the available metrics and how they can be used for measuring user engagement and system effectiveness.

Weak Development Team 74

Weak Development Team Metrics AWS Systems Review 74

CTOvision

OCTOBER 27, 2014

Big Data Product Watch 10/17/14: Big Three Make Big Moves. — dominated Big Data news this week, while the third, MapR Technologies Inc., The final goal of the partnership is to allow Cloudera and Microsoft customers to deploy Cloudera directly … Read more on Web Host Industry Review.

Technical Review 103

Technical Review Technology Big Data Firewall 103

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

CIO

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Government 214

Government Data Technical Review Policies 214

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

MARCH 18, 2021

ETL and ELT are the most widely applied approaches to deliver data from one or many sources to a centralized system for easy access and analysis. With ETL, data is transformed in a temporary staging area before it gets to a target repository (e.g ETL made its way to meet that need and became the standard data integration method.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

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

Altexsoft

JUNE 20, 2019

Database Management System or DBMS is a software which communicates with the database itself, applications, and user interfaces to obtain and parse data. For our comparison, we’ve picked 9 most commonly used database management systems: MySQL, MariaDB, Oracle, PostgreSQL, MSSQL, MongoDB, Redis, Cassandra, and Elasticsearch.

Systems Review 85

Systems Review System Software Review Open Source 85

IDC

DECEMBER 9, 2019

When the first All-Flash Arrays (AFAs) were introduced back in 2011, many enterprises, analysts and established enterprise storage vendors felt that these types of systems would be too expensive for widespread use in the enterprise. Increased device density drops the $/GB cost of that storage.

Storage 52

Storage Systems Review Software Review Technical Review 52

IDC

DECEMBER 9, 2019

When the first All-Flash Arrays (AFAs) were introduced back in 2011, many enterprises, analysts and established enterprise storage vendors felt that these types of systems would be too expensive for widespread use in the enterprise. Increased device density drops the $/GB cost of that storage.

Storage 10

Storage Systems Review Software Review Technical Review 10

CIO

JULY 25, 2024

To succeed, you need to understand the fundamentals of security, data storage, hardware, software, networking, and IT management frameworks — and how they all work together to deliver business value. IT managers are often responsible for not just overseeing an organization’s IT infrastructure but its IT teams as well.

Security 197

Security Technical Review Project Management Agile 197

CTOvision

NOVEMBER 17, 2013

Cloudera’s Doug Cutting delivered a presentation at Hadoop World that outlined key forces driving the data world forward which shed some important insights on where enterprise technology is going. His model for predicting the future of data is to take a linear approach. The fact is that Hadoop now dominates in the Big Data space.

Open Source 115

Open Source Big Data Linux Hardware 115

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. Data warehouse architecture.

Backup 115

Backup Azure Software Review Architecture 115

CTOvision

JANUARY 21, 2014

Please submit your topics in accordance with the below (From: [link] ): Data Science Symposium 2014. The NIST Information Technology Laboratory is forming a cross-cutting data science program focused on driving advancements in data science through system benchmarking and rigorous measurement science.

Technical Review 112

Technical Review Data Hotels Analytics 112

Datica

SEPTEMBER 11, 2019

Over the last few years, cloud storage has risen both in popularity and effectiveness. The convenience of cloud computing is undeniable, allowing users to access data, apps, and services from any location with an Internet connection. It’s no surprise that businesses across every industry are embracing cloud storage.

Storage 11

Storage Cloud Backup Disaster Recovery 11

Cloudera

AUGUST 11, 2021

Once upon an IT time, everything was a “point product,” a specific application designed to do a single job inside a desktop PC, server, storage array, network, or mobile device. A few years ago, there were several choices of data deduplication apps for storage, and now, it’s a standard function in every system.

Systems Review 121

Systems Review Storage Software Review Enterprise 121

Kaseya

MAY 13, 2021

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

Google Cloud 122

Google Cloud Azure AWS Cloud 122

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

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. But, What Happened to Hadoop?

Artificial Inteligence 103

Artificial Inteligence Big Data Technical Review Machine Learning 103

Altexsoft

MAY 31, 2019

In this article, we will tell how logistics management systems (or LMS) can bring value by automating processes and using data to make informed decisions. What is Logistics Management System? Logistics management system within logistics processes. Main modules of Logistics Management System. Order management.

Transportation 85

Transportation Systems Review Software Review System 85

O'Reilly Media - Ideas

APRIL 13, 2023

Imagine application storage and compute as unstoppable as blockchain, but faster and cheaper than the cloud.) This means making the hardware supply chain into a commodity if you make PCs, making PCs into commodities if you sell operating systems, and making servers a commodity by promoting serverless function execution if you sell cloud.

Technical Review 145

Technical Review Authentication Storage Serverless 145

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. The platform is loaded with over 30,000 files per day, from 95 systems across the bank. Data for Good. Winner: Rush University Medical Center. Rush is literally saving lives as we speak. .

Data 123

Data Analytics Banking Big Data 123

OTS Solutions

NOVEMBER 26, 2023

For example, one provider may specialize in data storage and security, while another may excel in big data analytics. Multi-cloud refers to the strategic use of multiple cloud computing services, and it has gained increasing traction due to its ability to enhance security, reliability, and performance.

Strategy 130

Strategy Cloud Technical Review Development Team Review 130

Gorilla Logic

JUNE 30, 2020

You can use U-SQL to process both structured and unstructured data in big data environments with Microsoft technologies. NET/C#/Python) from gigabyte to petabyte scale, offering the usual big data processing concepts such as “schema on reads,” custom processors, and reducers. Execute the Script.

Azure 96

Azure Big Data Software Review Storage 96

O'Reilly Media - Ideas

APRIL 9, 2019

Otherwise, this leads to failure with big data projects. They’re hiring data scientists expecting them to be data engineers. She stares at overly simplistic diagrams like the one shown in Figure 1 and can’t figure out why Bob can’t do the simple big data tasks. Conversely, most data scientists can’t, either.

Data Engineering 112

Data Engineering Engineering Data Technical Review 112