Pure Storage

JANUARY 10, 2024

Enhancing Data Protection and Recovery: What Is Operationalization and What Are Its Benefits? by Pure Storage Blog This blog on operationalization and its benefits is part two in a two-part series. Such integration boosts data protection and recovery capabilities significantly.

Disaster Recovery 52

Disaster Recovery Strategic Change Management Technology 52

Pure Storage

DECEMBER 4, 2023

How Azure Table Storage Stacks up to Other Microsoft Database Solutions by Pure Storage Blog Azure Table storage is a key component of Microsoft’s cloud computing platform that offers businesses unparalleled scalability, flexibility, and cost-efficiency in managing vast amounts of data.

Application 52

Application High Availability Disaster Recovery Architecture 52

Pure Storage

SEPTEMBER 6, 2023

On Premises vs. Cloud: A Brief Primer on Hosting by Pure Storage Blog In today’s digital age, businesses are faced with the pivotal decision of where to host their IT infrastructure. On one hand, there’s the traditional approach, where resources are housed “on premises” within the organization’s physical data center.

Internet 52

Internet Cloud Computing Technology Data Integrity 52

Pure Storage

NOVEMBER 3, 2021

In my previous blog post, “ DataOps: Optimizing the Data Experience ,” I explored the concept of DataOps as the catalyst to produce successful outcomes while undergoing digital transformation initiatives. To illustrate how long this historically takes, let’s look at the typical time needed to integrate two companies.

Retail 52

Retail Transportation Application Data Integrity 52

Pure Storage

MAY 22, 2023

How Data Fuels Modern Fire Safety Operations—and Keeps Communities Safe by Pure Storage Blog There are nearly 30,000 fire departments in the United States, according to recent data from the National Fire Protection Association.

All-Hazards 98

All-Hazards Hazard Government Technology 98

Pure Storage

OCTOBER 4, 2023

What Is a Data Mesh and How Do You Implement It? by Pure Storage Blog A data mesh is a transformative shift in data management that emphasizes decentralized data organization and domain-specific ownership. It empowers businesses to harness data more effectively. appeared first on Pure Storage Blog.

Architecture 52

Architecture Government Education Evaluation 52

Pure Storage

AUGUST 3, 2023

How to Implement Threat Modeling in Your DevSecOps Process by Pure Storage Blog This blog on threat modeling was co-authored by Dr. Ratinder Paul Singh Ahuja, CTO for Security and Networking, and Rajan Yadav , Director of Engineering, CNBU (Portworx), Pure Storage. This can be a serious threat to data integrity and system availability.

Authentication 87

Authentication Vulnerability Authorization Audit 87

Pure Storage

FEBRUARY 9, 2024

All-flash Arrays vs. Hard Disk Drives: 5 Myths About HDDs by Pure Storage Blog It’s no secret data growth is on the rise. Research from Enterprise Strategy Group indicates that data capacity will grow tenfold by 2030, which means there’s never been a better time to ditch spinning disk and make the switch to an all-flash data center.

Capacity 52

Capacity Application Data Integrity Publishing 52

Pure Storage

SEPTEMBER 26, 2023

FlashBlade S3 and ElasticSearch: The Journey to Disaggregation by Pure Storage Blog As data continues its inevitable upward growth, the focus on separation of compute and storage becomes an increasingly important part of scale-out applications. FlashBlade was built to scale with modern applications like ElasticSearch.

Capacity 52

Capacity Architecture Fashion Application 52

Pure Storage

APRIL 26, 2022

The system must simultaneously bridge with other applications in the ecosystem and deliver the same data accessibility and performance for everyone regardless of where they are in the world or where the cloud provider they connect to is located. Learn more about how the right solutions can enhance user experience in the auto industry.

Automotive 98

Automotive Outage Data Integrity Manufacturing 98

Pure Storage

FEBRUARY 24, 2022

Real-time data is used extensively in many trading applications to create intraday charts, monitor potential profits and losses, and get up-to-date information on stock volumes traded throughout the day. Agile data plays a major role in dynamic web apps that immediately refresh and update data without requiring a complete reload.

Healthcare 52

Healthcare Airlines Insurance Insurance 52

Pure Storage

DECEMBER 6, 2023

OLAP vs. OLTP: Comparing Data Processing Systems by Pure Storage Blog Data processing systems come in many shapes, types, and sizes, and with good reason: Data challenges are diverse and distinct. Two systems to know are OLAP and OLTP, each designed to tackle unique data challenges.

Airlines 98

Airlines Data Integrity Strategic Banking 98

Pure Storage

FEBRUARY 13, 2024

Denormalized vs. Normalized Data by Pure Storage Blog Normalization and denormalization are two key concepts in database design, each serving a specific purpose. The goal of normalization is to minimize data redundancy and dependency by organizing data into well-structured tables. What Is Normalized Data?

Data Integrity 52

Data Integrity Application Evaluation Healthcare 52

Erwood Group

FEBRUARY 4, 2024

Predictive Analytics for Risk Assessment: How it Works: AI algorithms analyze historical data, identify patterns, and predict potential risks and disruptions. Application: Predictive analytics enables organizations to rapidly assess risks and proactively implement measures to mitigate the impact of potential disruptions.

Business Continuity 52

Business Continuity Technology Disaster Recovery Crisis Management 52

Pure Storage

AUGUST 9, 2023

SQL DISTINCT vs. UNIQUE by Pure Storage Blog Duplicate entries imported from a SQL database skew numbers and analytics, so the Structured Query Language (SQL) offers a way to eliminate duplicates so that you only get the exact values that you want. In this scenario, data integrity is affected.

Data Integrity 52

Data Integrity Application Security Education 52

Pure Storage

MARCH 26, 2024

SQL vs. NoSQL Databases by Pure Storage Blog Applications need a database to store data. Data is stored in a structured or unstructured format, also referred to as relational and non-relational databases. To query data, structured databases use standard SQL, while unstructured databases use NoSQL.

Application 59

Application Data Integrity Logistics Education 59

Pure Storage

NOVEMBER 14, 2022

Pure Storage platforms are highly scalable storage solutions for the Epic EMR healthcare application framework. One of the biggest challenges Epic customers face is with application lifecycle management. Pure FlashArray and/or FlashBlade volumes do not recognize if the data is related to Epic or any other application.

Healthcare 98

Healthcare Backup Authorization Capacity 98

Pure Storage

SEPTEMBER 26, 2023

Oracle DBaaS Products Comparison by Pure Storage Blog “As-a-service” products have been around since the 1960s and have exploded over the last decade into an industry of their own. The emergence of database as a service (DBaaS) has transformed the way organizations handle their data needs.

High Availability 52

High Availability Application Backup Capacity 52

Pure Storage

MARCH 5, 2024

Most Useful DDL Commands in SQL with Examples by Pure Storage Blog A database is more than a storage location for your data. It’s also the backend workhorse for applications and reports. As you can imagine, changing all customer last names to a single value could damage your data integrity. What Is a DDL Command?

Application 52

Application Data Integrity Backup Management 52

Pure Storage

NOVEMBER 29, 2023

by Pure Storage Blog In today’s enterprise IT landscape, seamless data sharing is imperative for efficient operations. Two prominent file-sharing protocols, Common Internet File System (CIFS) and Network File System (NFS), play pivotal roles in enabling smooth data exchange. appeared first on Pure Storage Blog.

Authentication 52

Authentication Internet Backup Communications 52

Advancing Analytics

MAY 17, 2023

It brings together Azure Data Factory, Azure Synapse Analytics and Power BI into a single cohesive platform without the overhead of setting up resources, maintenance, and configuration. With Fabric, Microsoft are ambitiously embracing the Data Lakehouse architecture in a Mesh-like vision.

Data Integrity 64

Data Integrity Architecture Internet Technology 64

Pure Storage

AUGUST 1, 2023

Cosmos DB vs. MongoDB by Pure Storage Blog Just like other parts of the IT stack, databases have been through a very clear evolution over the last 40 years. We’ll outline their features, benefits, and differences to help you make an informed choice for which one to use for your particular applications and/or business needs.

Application 52

Application Backup Evaluation High Availability 52

Pure Storage

OCTOBER 19, 2023

The Data Center of the Future Is All-flash. by Pure Storage Blog By 2028, practically no new all-hard disk drive (HDD) storage systems will be sold for enterprise data center computing. Storage managers know that it is effective capacity, rather than raw capacity, that determines how much data can be stored.

Capacity 52

Capacity Data Integrity Technology Media 52

Pure Storage

JULY 27, 2023

How Modern Flash Storage Paves the Way for Life-saving Breakthroughs in Genomics by Pure Storage Blog Genomic sequencing is revolutionizing scientific research across biotechnology, agriculture, environmental science, and especially medicine.

Healthcare 52

Healthcare Data Integrity Architecture Application 52

Advancing Analytics

JANUARY 22, 2023

Microsoft - Understand star schema and the importance for Power BI - Power BI | Microsoft Learn Multi-dimensional modeling is a powerful technique for organizing and analyzing data in a way that is intuitive and easy to understand. The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling." A fun idea to debate.

Authorization 52

Authorization Architecture Communications Data Integrity 52

Pure Storage

JULY 21, 2023

Data Fabric vs. Data Lake vs. Data Warehouse by Pure Storage Blog As businesses collect more “raw” data—such as computer logs or video files that have not yet been processed, cleaned, or analyzed for use—they need reliable and effective ways to manage that information until they’re ready to work with it.

Architecture 52

Architecture Data Integrity Application Government 52

Pure Storage

OCTOBER 19, 2023

Data Mesh vs. Data Fabric: What’s the Difference? by Pure Storage Blog In today’s digital landscape, organizations face a wide array of data management challenges due to the increasing volume, variety, and complexity of data—and all the various apps and users who need to access that data.

Architecture 52

Architecture Data Integrity Government Technology 52