Datavail

JANUARY 4, 2022

As more and more companies look towards the cloud for their data warehousing needs, Snowflake is becoming a popular choice. When it comes to a Snowflake cloud migration, the grass may indeed be greener on the other side of the fence—but that doesn’t mean there aren’t significant challenges to getting over the fence in the first place.

Data 52

Data AWS Architecture Analytics 52

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. Cloud Infrastructure.

Minimum Viable Product 52

Minimum Viable Product Technical Review Azure Government 52

Datavail

AUGUST 4, 2020

Improved agility. Many of the apps you’ll need for digital transformation will reside in the cloud. As the world and the cloud environment have evolved, today’s DBA can play a much more significant role in helping your business make sense of its data and develop the apps you’ll need to utilize it. Higher employee engagement.

Database Administration 52

Database Administration Systems Review Cloud IoT 52

Datavail

SEPTEMBER 3, 2020

Agile planning and lean project management to help DevOps teams collaborate and organize work into shorter, focused “sprints.” Custom reporting and analytics. Private git repos hosted in the cloud. Automation from start to finish, from code generation and testing to deployment and monitoring.

DevOps 52

DevOps Applications Development Software Review 52

Datavail

APRIL 6, 2022

For example, refreshing your.NET applications makes it much easier to adopt modern IT best practices such as cloud computing and microservices. You can also take this opportunity to implement new methodologies such as DevOps and agile that help make your IT teams more productive and efficient. Conclusion. We can help.

Azure 52

Azure Metrics Test-Driven Development Applications 52

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. Increasing business agility: 56%. Data warehouse and analytics. Cloud solutions. The Current State of Data-Driven Decision Making. Improving sales: 44%.

Data 40

Data Business Intelligence Government Analytics 40

Datavail

SEPTEMBER 1, 2021

If you’re like many IT professionals, you’re finding that moving some or all of your systems to the cloud makes sense. Should you move your data analytics to the cloud? What Do You Want from Your Data Analytics? Both new and traditional data, thereby enabling analytics correlations across all data.

Analytics 97

Analytics Technical Review Cloud Data 97

IDC

JULY 23, 2019

In contrast, spending on 3rd Platform technologies (cloud, mobility, Big Data, and social) and innovation accelerators is projected to soar by around 15% from 2019–2022. Note that a solution can be built using an IoT-based solution that connects to real-time analytics and AI tools, usually run from the cloud.

IoT 42

IoT Artificial Intelligence Artificial Inteligence Big Data 42

Datavail

NOVEMBER 6, 2019

Essbase was previously part of the Oracle Analytics Cloud (OAC) software suite. The separation from OAC signals a new direction for Essbase with an emphasis on the importance of the cloud. The change is coming soon, with Essbase 19c Cloud expected to be available during Oracle’s first half of FY2020.

Cloud 8

Cloud Software Review Technical Review Systems Review 8

Altexsoft

MARCH 16, 2023

Telsyte’s Asset Loss White Paper claims that businesses expect a $1.34 The same technologies can also be used to track people within the facility (mainly for security, navigation, or analytics purposes). Source: Telsyte’s Asset Loss White Paper Inefficient inventory management.

Technical Review 52

Technical Review Technology Software Review Systems Review 52

Datavail

APRIL 13, 2023

As an IT leader, you’re likely well aware of the importance of data and analytics in driving business success. The survey, which polled 150 IT leaders, found that the top challenges facing organizations when it comes to data and analytics are data quality and integration, as well as a lack of skilled personnel.

Survey 52

Survey Analytics Data Scalability 52

Cloudera

AUGUST 21, 2021

Working towards delivering a strong customer experience and shortening time to market, the organization sought to create a centralized repository of high-quality data which could also allow them to stream and conduct real-time data analytics to rapidly derive actionable insights. .

Industry 105

Industry Data Banking Analytics 105

Cloudera

JULY 9, 2019

Not allowing business needs to drive data and cloud strategy. For example, some businesses tout “cloud first” as a solution. Knowing what business outcomes you’re aiming for should drive your data strategy—which should then drive your cloud strategy. Lacking agility to respond to customer needs.

Big Data 78

Big Data Data Agile Enterprise 78

Datavail

APRIL 20, 2022

App modernization also makes it easier for your organization to follow best practices and methodologies for software development, such as agile and DevOps. Deploying microservices applications to cloud platforms such as Microsoft Azure also lets you benefit from autoscaling features, freeing you from the pain of manual configuration.

Microservices 52

Microservices Azure .Net Scalability 52

Kentik

NOVEMBER 21, 2016

This is power at cloud scale, except that using botnets makes massive scale-out bandwidth essentially free. And you’re up against an agile, innovative, and robust marketplace of players that are going for your network traffic jugular — and more. Detection is Stuck in the Past. But you can’t do that if you don’t have the data.

Big Data 40

Big Data Data B2C Storage 40

CIO

JANUARY 20, 2023

Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Yet many are struggling to move into production because they don’t have the right foundational technologies to support AI and advanced analytics workloads. Some are relying on outmoded legacy hardware systems.

Analytics 333

Analytics Artificial Inteligence Artificial Intelligence Hardware 333

Tenable

NOVEMBER 3, 2022

By giving users a holistic view of their entire attack surface — including vulnerabilities, misconfigurations, web applications, cloud systems, user identities and privileges and attack path analysis — the Tenable One platform is poised to serve as the foundational technology upon which an organization can build an exposure management program.

Data 98

Data AWS Storage Data Engineering 98

The Cipher Brief

FEBRUARY 26, 2022

These executives’ questions are answered, usually on the spot—and if that isn’t possible, analytic teams supporting them will find someone who can answer them as quickly as possible. While it’s unlikely that the national security enterprise will ever become as agile as private sector firms like Google (or even the U.S.

Government 62

Government Systems Review Enterprise Policies 62