Datavail

NOVEMBER 17, 2021

This is especially important for companies that rely on analytics to drive business insights and executive decisions. Most likely, your company has shifted their approach to data and analytics. They decided it was time to build a modern analytics environment that could support their needs now and into the future. Learn More.

Case Study 97

Case Study Analytics Study Architecture 97

CIO

NOVEMBER 4, 2022

To achieve what the company would need going forward, McCowan knew Regeneron would have to undergo a major transformation and build a more enhanced data pipeline that could inject data from up to 1,000 data sources in “analytical ready formats” for both the business and the scientists to consume, the CIO says.

Pharmaceuticals 187

Pharmaceuticals Technical Review AWS Machine Learning 187

CIO

DECEMBER 10, 2024

Notably, hyperscale companies are making substantial investments in AI and predictive analytics. NetApps first-party, cloud-native storage solutions enable our customers to quickly benefit from these AI investments. Our company is not alone in adopting an AI mindset. To explore further , visit the NetApp AI solutions page.

Strategy 158

Strategy Cloud Artificial Inteligence Azure 158

CIO

SEPTEMBER 1, 2023

It was “clear that we needed to move to an infrastructure that better supported automation, offered more flexible and dynamic security capabilities, and could reduce the overall impact when planned or unplanned changes occur,” Intel wrote in a white paper about its switch to SDN.

WAN 195

WAN Data Center IoT Network 195

Cloud That

NOVEMBER 16, 2022

Because IoT data is generally unorganized and difficult to evaluate, experts must first format it before beginning the analytics process. AWS IoT Analytics will enable you to convert unstructured data to structured data and then analyze it. This blog will show you how to create a dataset with AWS IoT Analytics.

IoT 70

IoT AWS Analytics Data 70

Datavail

AUGUST 3, 2021

In addition, with Azure infrastructure flexibility you will always have the storage and compute resources you need, including Azure Disk Storage which offers secure, persistent, and cost-friendly SSD options that can support any and all of your Oracle applications. 5) Analytics & Insights. 3) Disaster Recovery.

Azure 98

Azure Disaster Recovery Applications Artificial Inteligence 98

Infinidat

MARCH 20, 2023

On average, enterprises cut their storage operations costs by nearly half by transitioning to Infinidat’s enterprise storage solution. The latter benefit of lower storage costs directly helps to overcome the cost challenges that have escalated for enterprises in updating the storage infrastructure, as data volumes have increased.

Storage 52

Storage Systems Review Enterprise Artificial Intelligence 52

Datavail

DECEMBER 17, 2019

offers its users a solution to this data management and storage challenge by embracing the WiredTiger storage engine, which is uniquely designed to address the growing data deluge. The message of all this information is that your data storage capacities are about to become really – really – important.

Storage 10

Storage IoT Engineering Data 10

Datavail

APRIL 6, 2021

Oracle Analytics Cloud. compute, network, storage, etc.) PaaS includes the essential infrastructure and middleware as well as technologies such as artificial intelligence, the Internet of Things (IoT), containerization, and big data analytics. Oracle’s SaaS cloud offerings include: Oracle EPM Cloud. Oracle ERP—Financials Cloud.

Cloud 97

Cloud Disaster Recovery Off-The-Shelf Artificial Intelligence 97

Datavail

MAY 11, 2021

Visual analytics tools are how businesses turn cold, hard data into clear, beautiful visualizations. The right choice of visual analytics tool will dramatically simplify your data visualization workflows, offering pre-built templates to convert datasets into visual representations (e.g. 5 Visual Analytics Tools for Data Visualization.

Analytics 52

Analytics Artificial Inteligence Scalability Artificial Intelligence 52

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns. So what’s all the fuss about?

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Datavail

JUNE 30, 2022

As part of an overarching digital transformation strategy, more and more companies are moving their on-premises data analytics into the cloud. But what are the factors that motivate businesses to invest in a cloud analytics migration? For businesses still wedded to on-premises analytics, scalability can be a touchy subject.

Analytics 52

Analytics Cloud Business Intelligence Scalability 52

Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Datavail

AUGUST 2, 2022

Considering a move to cloud analytics? Before you dive in headfirst, however, it’s important to understand what a cloud analytics migration will mean for your IT expenses. What are the Costs of Cloud Analytics? The costs of cloud analytics will vary depending on your technology stack. Analytics compute.

Analytics 52

Analytics Cloud Artificial Inteligence How To 52

Cloudera

JULY 9, 2019

But while cloud plays a significant role in infrastructure, storage, data capture, and data processing in today’s business environment, each organization needs to clearly define its business needs first. If analytics processes can’t reach all data sources, then you only get a partial picture of your customers and their needs.

Big Data 78

Big Data Data Agile Enterprise 78

Tenable

NOVEMBER 3, 2022

While the story of Tenable One is, first and foremost, a technology story, the analytics baked into the platform would not be possible without the ability to ingest and process a wide variety of data from a suite of point tools. . The only difference between our model and a traditional CQRS is the ability to use shared storage.

Data 98

Data AWS Storage Data Engineering 98

Palo Alto Networks

AUGUST 22, 2019

Up until now, if organizations wanted to protect all their digital assets, they needed to provision siloed endpoint detection and response (EDR), network traffic analysis (NTA), and user and entity behavior analytics (UEBA) tools. This white paper explains how to get started. .

Hardware 14

Hardware Malware Analysis Machine Learning 14

Cloud That

NOVEMBER 17, 2022

AWS Glue acts as a metadata storage center called AWS Glue Data Catalog, a flexible scheduler for dependency resolution, data loading, and task monitoring, and an ETL engine for automatic Python or Scala code generation. Our blogs, webinars, case studies, and white papers enable all the stakeholders in the cloud computing sphere.

AWS 75

AWS Data Serverless Cloud 75

Datavail

DECEMBER 16, 2020

If you want to cut to the chase and see everything now, please download my latest white paper. These include an encrypted Storage Engine, the ability to encrypt data at rest, Kerberos access controls, and auditing. In-memory Storage Engine. MongoDB Enterprise is one of several versions of this database. Ad hoc queries.

Enterprise 52

Enterprise Database Administration Storage Training 52

elsua: The Knowledge Management Blog

MARCH 7, 2008

Toolbox for IT Join Now / Sign In My Home Posts Connections Groups Blogs People Communities Vendors Messages Profile Achievements Journal Blog Bookmarks Account / E-mails Topics Business Intelligence C Languages CRM Database IT Management and Strategy Data Center Data Warehouse Emerging Technology and Trends Enterprise Architecture and EAI ERP Hardware (..)

Wireless 45

Wireless Linux Data Center Journal 45

elsua: The Knowledge Management Blog

MARCH 7, 2008

Toolbox for IT Join Now / Sign In My Home Posts Connections Groups Blogs People Communities Vendors Messages Profile Achievements Journal Blog Bookmarks Account / E-mails Topics Business Intelligence C Languages CRM Database IT Management and Strategy Data Center Data Warehouse Emerging Technology and Trends Enterprise Architecture and EAI ERP Hardware (..)

Wireless 45

Wireless Linux Data Center Journal 45

Datavail

MARCH 17, 2021

It supports multi-cloud and on-premise deployments, and offers both structured and unstructured data storage. Transactional, operational, and analytical applications are all supported in a single database, and it has significant support among third-party developers. You can plug-in different storage engines to optimize each workload.

Cloud 52

Cloud Open Source Storage Artificial Intelligence 52

Cloud That

NOVEMBER 28, 2022

It offers numerous cloud services, such as computation, analytics, storage, and networking. Rescue VM should be in the same location as the Storage account of the faulty VM resides. Our blogs, webinars, case studies, and white papers enable all the stakeholders in the cloud computing sphere. Conclusion.

Virtualization 72

Virtualization Azure Disaster Recovery Linux 72

Infinidat

MARCH 31, 2023

The consideration spans over a dozen software industry categories, Infinidat is a member of the Data Management and Analytics category. Infinidat stands alone as the only primary storage vendor to rank in the Power 500 Software Companies. Infinidat is proud to receive this industry recognition, but we are not surprised. Performance.

Software 52

Software Company Storage Disaster Recovery 52

Confluent

FEBRUARY 27, 2019

Provider dependent: 500 MB storage, 128 MB ? Amazon’s recently published a white paper Serverless Streaming Architectures and Best Practices is a great read and makes some good points that should be mapped onto the constraints above. Historic analytics include Monte Carlo simulation, raw number crunching of event data, etc.

Serverless 109

Serverless Lambda AWS Systems Review 109

Kentik

JULY 18, 2016

Like the pre-dig Irwin family, surrounded by buried riches, too many network organizations are separated from the true value of their network data by legacy limitations on the collection, storage, and analysis of flow records (e.g. Sure, you can get some pretty graphs of summary views, but without real analytical depth.

Big Data 40

Big Data Network Analytics Data 40

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. These examples are well covered by many others (e.g., Dr. Richard L. London – UK.

Artificial Inteligence 42

Artificial Inteligence Machine Learning Analytics Big Data 42

Datavail

APRIL 15, 2021

You also need to determine the amount of memory and storage for the instance. TB of NVMe SSD instance storage, which delivers up to 25 Gbps of bandwidth and high IOPS while remaining affordable for many businesses. The first decision to make is which AWS instance type works best for your MongoDB application. You get 15.2

AWS 52

AWS Strategy Data Center Backup 52

Datavail

OCTOBER 25, 2022

It can be bad, however, when none of those corrective actions are taken, and the raw data is left sitting idly in the back of an overlooked data storage container. Moreover, the volume of enterprise data is expanding faster than consumer data, as more of it lands in large cloud-based storage facilities. Each day, more than 2.5

Organization 52

Organization Data Artificial Inteligence Storage 52

Altexsoft

OCTOBER 21, 2022

process data in real time and run streaming analytics. The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. Cloudera , focusing on Big Data analytics. Kafka topic and partition.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Capgemini

JANUARY 13, 2022

CGS Managed Services has worked with this agency to implement an asset data aggregation and analytics system to track the condition assessments and health score of various transmission assets for maintenance optimization, investment planning and asset failure prevention using the MuleSoft Anypoint platform. Cybersecurity.

Minimum Viable Product 52

Minimum Viable Product Technical Review Azure Government 52

Datavail

DECEMBER 8, 2021

Snowflake is a cloud data platform that stores your valuable enterprise data assets in a data warehouse or data lake, making it easier to retrieve for business intelligence (BI) and analytics. These features include: Separation of storage and compute, which allows users to scale both resources dynamically and independently of each other.

Data 52

Data Azure Cloud Storage 52

Datavail

MARCH 24, 2020

This includes your plans for handling data at every stage of the pipeline, from collection and storage to integration, analysis, and collaboration. Download my white paper “ Build a Business Foundation on Trusted Data.”. Technology: The technological assets and knowledge at your disposal.

Strategy 40

Strategy Data Policies Metrics 40

Kentik

NOVEMBER 21, 2016

In terms of accuracy, appliances tend to miss a lot of attacks because they are so strapped for compute, memory, and storage resources. As for intelligence, traditional DDoS detection appliances summarize the raw traffic data and then discard the details, so they are literally incapable of providing deep analytics.

Big Data 40

Big Data Data B2C Storage 40

Datavail

JULY 30, 2019

With the IT landscape changing so swiftly, organizations need to constantly assess and reassess their needs in terms of data storage, processing, and analytics. Learn more about getting the most from your Oracle Hyperion deployment in this white paper. Read This Next. The post FP&A: The New Data Champion?

Technical Advisors 8

Technical Advisors Data Strategic Planning Government 8

Datavail

JUNE 22, 2021

Continuous Innovation : As of this writing, Microsoft has built over a thousand new capabilities in Azure in just one year , keeping it on the cutting edge of analytics, artificial intelligence, and virtualization. In this white paper, you’ll learn why Microsoft Azure is the cloud platform of choice for so many organizations.

Azure 40

Azure Cloud Company Artificial Inteligence 40

Datavail

SEPTEMBER 28, 2022

The challenge is identifying the right data management/analytics approach that will allow your business to achieve successful data-driven decision making. Datavail can provide experts in all the arenas you’ll need to address as you create new data management infrastructures, including: Business intelligence and analytics.

Data 40

Data Business Intelligence Analytics Survey 40