Dataversity

SEPTEMBER 12, 2023

Advanced data-intensive applications, the increased use of digitalization, and IoT devices are forcing organizations across various industries to reevaluate how they handle large amounts of data and exponential data growth effectively and efficiently.

Digital 162

Digital Data Architecture Data Security Data Management 162

Dataversity

SEPTEMBER 23, 2021

Much has been written about the hunger for data storage in university research, whether in the humanities, arts, social sciences, genomic studies, astronomy, or seismic research. An increasingly popular option has been open-source storage – or “Open Storage” – which is software that is developed in a […].

Data Architecture 246

Data Architecture 246

Dataversity

AUGUST 24, 2023

Then, pair that with an AI image generator […] The post No Storage, No Future Tech: Why Cutting-Edge Innovations Rely on Tried-and-True Data Storage appeared first on DATAVERSITY.

Innovation 130

Innovation Artificial Intelligence Data Architecture 130

Smart Data Collective

SEPTEMBER 27, 2022

Now is the time for companies deploying limited tools to consider switching to cloud-based data storage and powerful product planning tools. Data silos have become one of the biggest restraints with using linear manufacturing processes. Does the platform eliminate your data silos into one accessible source of truth?

Agile 293

Agile Planning Data Visualization Product Management 293

Dataversity

SEPTEMBER 22, 2022

The post 5 Ways Data Storage IT Pros Enable Business User Self-Service appeared first on DATAVERSITY. Meanwhile, these tasks have become […].

Data Architecture 243

Data Architecture 243

Simplilearn

DECEMBER 6, 2022

The world is changing, and so are the data storage needs. As more companies embrace the power of big data, they're collecting more and more information than ever. New types of storage have become essential for companies that need to store vast amounts of unstructured data, and they're much cheaper than their predecessors!

Big Data 130

Big Data 130

Dataversity

JANUARY 23, 2023

All enterprise data ends up on storage systems, but if an enterprise storage solution does not have the cyber storage resilience to combat a cyberattack, the C-suite and the IT team are leaving the organization severely exposed.

Data Architecture 130

Data Architecture Data Security Cybersecurity 130

Dataversity

MAY 10, 2022

The energy demands of modern-day data storage are incredibly vast. Behind everything we do is data, […]. The post The Growing Energy Demands of Data Storage appeared first on DATAVERSITY. The question is: How can we address the consequences of this?

Digital 130

Digital Artificial Intelligence Data Architecture 130

Dataversity

JANUARY 5, 2021

Having a modern storage infrastructure is key to these efforts, one that is optimized for a hybrid cloud […]. The post Data Storage Will Be Critical in Digital Transformation and Defeating Cyber Threats in 2021 appeared first on DATAVERSITY.

Digital Transformation 246

Digital Transformation Digital Data Architecture 246

Smart Data Collective

NOVEMBER 6, 2019

Smart city technology can use data to revolutionize what it means to live and work in a city. First, however, we need the right kind of storage solutions to make all these proposed features functional. What Kind of Data Do Smart Cities Store? Data from carbon mapping tools : One U.S. At the Edge.

Real-time Data 199

Real-time Data Government Cloud Computing Data Management 199

Dataversity

MAY 21, 2021

Perhaps the most well-known benefit of cloud storage solutions is that their virtual architecture ensures that all information will remain accessible in the event of an on-site system failure. The post Cloud vs. In-House Data Storage: The Undeniable Security Benefits appeared first on DATAVERSITY.

Data Architecture 130

Data Architecture Data Security 130

Dataversity

JUNE 29, 2021

The post If Your Team Is Remote, Why Isn’t Your Data Storage? Many companies had to adapt to their workforce no longer being in one centralized location: the office. The transition to remote work may have been challenging at first, but by now most companies have settled into […]. appeared first on DATAVERSITY.

Data Architecture 130

Data Architecture 130

Astera

MAY 19, 2023

In today’s rapidly evolving digital landscape, data has become the bloodline of businesses across the globe. As organizations strive to harness the power of this valuable resource, they are presented with exciting opportunities to efficiently store, effectively manage, and extract valuable insights from vast quantities of data.

Predictive Analytics 40

Predictive Analytics E-Commerce Artificial Intelligence Innovation 40

Astera

MAY 5, 2023

The financial industry is facing a data revolution. With more information available than ever before, it’s crucial that companies are equipped with the right tools to manage, store, and analyze this data. However, that’s rarely the case.

Innovation 40

Innovation Data Management Artificial Intelligence Big Data 40

Dataversity

AUGUST 9, 2023

The Information Age has flooded the modern enterprise with data. Demand for enterprise storage capacity will only increase in the years ahead. By the end of this decade, new enterprise storage capacity shipments are forecast to be 15 ZB per year, with the active installed base exceeding 45 ZB. Where Is This Growth Coming From?

Data Management 246

Data Management Artificial Intelligence Data Architecture 246

Simplilearn

MARCH 29, 2024

In 2024, where data is likened to oil for its value and potential, organizations across various sectors are in a constant quest to harness the power of data. Big Data Engineers are the architects behind the scenes, building and maintaining the infrastructure that allows for the collection, storage, and analysis of massive datasets.

Big Data 252

Big Data 252

Sisense

APRIL 7, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. We live in an era of Big Data.

Big Data 86

Big Data Data Warehouse Digital Transformation Product Management 86

Smart Data Collective

SEPTEMBER 20, 2023

Endless Scalability: Cloud’s Biggest Offering To IoT IoT devices produce an enormous amount of data every second. Processing, storing, and analyzing this data is a monumental task. Real-Time Processing And Analysis One of the critical aspects of IoT is its need for real-time data processing and analytics.

Cloud Computing 300

Cloud Computing Real-time Data Monitoring Innovation 300

Dataversity

OCTOBER 26, 2023

In the era of data-driven technologies, artificial intelligence (AI) and machine learning (ML) platforms depend on vast amounts of reliable and consistent data. The need for a secure, unalterable data foundation is paramount, and immutable storage has emerged as a vital tool to meet this demand.

Artificial Intelligence 162

Artificial Intelligence Data Architecture Data Security 162

Simplilearn

NOVEMBER 30, 2023

Generation, processing, and data storage are critical steps for any organization. It comprises numerous hidden pieces of information waiting to be explored by a professional with expertise in data handling. Data analysis is an important task that determines the fortune of any organization. Read More.

Data Analytics 299

Data Analytics Data Analytics Big Data 299

Simplilearn

FEBRUARY 19, 2024

It focuses on delivering various services, including data storage, processing power, and applications, over the internet. Instead of depending on local servers or personal devices, users can also use remote servers hosted in data centers to. Read More.

Cloud Computing 241

Cloud Computing 241

Smart Data Collective

MARCH 30, 2022

Azure Data Lake Storage Gen2 is based on Azure Blob storage and offers a suite of big data analytics features. If you don’t understand the concept, you might want to check out our previous article on the difference between data lakes and data warehouses. Data organization. Authorization.

Data Warehouse 254

Data Warehouse Big Data Data Analytics Data Analytics 254

Smart Data Collective

DECEMBER 1, 2022

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. Advancements in data storage techniques.

Big Data 352

Big Data Artificial Intelligence Cloud Computing Healthcare 352

Sisense

NOVEMBER 12, 2020

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. And where does all this data live?

Data Warehouse 52

Data Warehouse Skillset 52

Smart Data Collective

NOVEMBER 15, 2022

There are a plethora of benefits, but companies have to make sure that they store their data on the cloud properly. The cloud has become an increasingly popular option for businesses of all sizes to store data. From increased security to lower costs, there are many benefits to storing data in the cloud. Lower Costs. Scalability.

Cloud Computing 275

Cloud Computing Documentation Digital 275

Smart Data Collective

AUGUST 30, 2022

Data streaming. Cloud computing ( [link] ) can be used to support real-time data streams for better business decision-making. Cloud technology results in lower costs, quicker service delivery, and faster network data streaming. Centralized data storage. Disaster recovery and data backup. Big data analytics.

Cloud Computing 335

Cloud Computing Data Mining Real-time Data Big Data 335

Smart Data Collective

NOVEMBER 5, 2023

AI Can Help With Data Protection and Restoration In May, Christophe Bertrand wrote a great article in TechTarget about the importance of using AI technology for data protection and restoration. AI can be equally beneficial for restoring data from photos that have been lost on a corrupted device or accidentally deleted.

Digital 263

Digital Visualization Artificial Intelligence 263

Dataversity

JANUARY 5, 2024

As unstructured data continues to grow exponentially, it is creating an inflection point for IT leaders. The average enterprise IT organization is managing petabytes of file and object data.

Data Management 147

Data Management Data Architecture 147

Dataversity

AUGUST 29, 2023

Chief information security officers (CISOs), along with their staff, typically do not think about enterprise storage. The vast majority say that they think about edge protection, network protection, application protection, and the threat of data theft.

Cybersecurity 147

Cybersecurity Cloud Computing Data Architecture Data Security 147

Smart Data Collective

NOVEMBER 20, 2022

However, the cloud and big data are also offering some benefits that help older forms of technology stay relevant. Ironically, newer technologies may be helping make USBs even more useful by making them easier to backup and making data recovery easier. One of the biggest challenges is that data can be easily lost or corrupted.

Big Data 228

Big Data Innovation Cloud Computing Digital 228

Dataversity

DECEMBER 2, 2021

Deep learning has advanced data storage to the point where, as more data hits it, the storage platform gets smarter and faster over time. The post Deep Learning: When Data Gets Smart appeared first on DATAVERSITY. The post Deep Learning: When Data Gets Smart appeared first on DATAVERSITY.

Artificial Intelligence 245

Artificial Intelligence Data Architecture 245

Simplilearn

MAY 5, 2023

With the help of cloud computing, you can access IT resources, such as several tools and applications, data storage, servers, databases, and software from a cloud service provider. Cloud-based storage makes it achievable to save files. Read More.

Cloud Computing 246

Cloud Computing 246

Dataversity

MARCH 26, 2024

Writing data to an AWS data lake and retrieving it to populate an AWS RDS MS SQL database involves several AWS services and a sequence of steps for data transfer and transformation. This process leverages AWS S3 for the data lake storage, AWS Glue for ETL operations, and AWS Lambda for orchestration.

Data Security 162

Data Security Data Architecture 162

Dataversity

MAY 12, 2023

We live in a data-driven economy, but what lies beneath the data is hidden gold. Metadata, or data that describes data, delivers many benefits for storage and IT managers. Yet metadata is complex, vast, and distributed across hybrid cloud infrastructure.

Data Governance 130

Data Governance Data Quality Data Architecture Data Security 130

Dataversity

OCTOBER 25, 2023

We exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights.

Data Quality 262

Data Quality Innovation Data Governance Data Architecture 262

Actian

OCTOBER 24, 2019

When architecting your data warehouse solution, separating compute and data storage is extremely important for both operational sustainability and economic efficiency. Storage capacity is a function of time. As you conduct business, you generate data – data about your customers, your products, your sales, etc.

Cloud Computing 40

Cloud Computing Data Analytics Data Analytics Data Warehouse 40

Dataversity

OCTOBER 6, 2022

Detailed planning and thoughtful consideration are critical for IT leaders moving their unstructured data to a new platform, whether it be on-premises or in the cloud. If they aren’t cautious, enterprises may encounter cost overruns, project delays, and data risk.

Planning 242

Planning Data Architecture 242