Openxcell

SEPTEMBER 10, 2021

The performance of any application determines how the user will react to it. Let’s look at a situation where we’re asked to perform more than one task at a time. Performance testing will assist you in achieving a streamlined performance for your application. Major types of Performance Testing.

Performance 89

Performance Testing Scalability Applications 89

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. How companies handle big data and data science is changing so they are beginning to rely on the services of specialized companies. User data collection is data about a user who is collected for market research purposes.

Big Data 52

Big Data Data Development Business Intelligence 52

N2Growth Blog

JANUARY 29, 2024

Predictive analytics is becoming indispensable in identifying potential candidates in this rapidly evolving landscape. AI algorithms analyze vast datasets to predict a candidate’s performance, cultural fit, and level of commitment.

Artificial Inteligence 86

Artificial Inteligence Artificial Intelligence Recruiting Big Data 86

TechCrunch

SEPTEMBER 27, 2021

Sanjay Gajendra, Astera’s chief business officer, notes that the chip giant is collaborating with the startup to develop PCI Express and CXL (Compute Express Link) technology and products to “increase bandwidth, performance, and resource availability in next generation server and storage infrastructure.”

Artificial Inteligence 246

Artificial Inteligence Applications Cloud Artificial Intelligence 246

CTOvision

AUGUST 1, 2015

Organizations are spending billions of dollars to consolidate its data into massive data lakes for analytics and business intelligence without any true confidence applications will achieve a high degree of performance, availability and scalability. Sequoia Holdings, CEO. Founded by former U.S.

Big Data 114

Big Data System Data Software Engineering 114

CTOvision

JULY 9, 2014

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.

Big Data 114

Big Data Data CTO Fractional CTO 114

AWS Machine Learning - AI

FEBRUARY 26, 2024

However, as these models continue to grow in size and complexity, monitoring their performance and behavior has become increasingly challenging. Monitoring the performance and behavior of LLMs is a critical task for ensuring their safety and effectiveness. He helps customers implement big data and analytics solutions.

Artificial Inteligence 106

Artificial Inteligence AWS Lambda Metrics 106

Apiumhub

MARCH 18, 2021

More data is available to businesses than ever, which is why business analytics is a growing field. But how and why professionals use data to reach decisions varies depending on the industry. In this article we will discuss business analytics tools and use cases. “The What is Business Analytics?

Business Analytics 52

Business Analytics Analytics Tools Trends 52

OTS Solutions

DECEMBER 12, 2023

There is a fear that AI technologies may replace jobs traditionally performed by humans, leading to unemployment and income inequality. AI-powered robots can perform repetitive and dangerous tasks, minimizing human intervention.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

Cloudera

SEPTEMBER 2, 2021

Traditional scheduling solutions used in big data tools come with several drawbacks. YuniKorn’s Gang scheduling and bin-packing help boost autoscaling performance and improve resource utilization. YuniKorn’s Gang scheduling and bin-packing help boost autoscaling performance and improve resource utilization.

Data Engineering 81

Data Engineering Performance Engineering Data 81

CTOvision

FEBRUARY 24, 2014

By Bob Gourley Note: we have been tracking Cloudant in our special reporting on Analytical Tools , Big Data Capabilities , and Cloud Computing. Cloudant will extend IBM’s Big Data and Analytics , Cloud Computing and Mobile offerings by further helping clients take advantage of these key growth initiatives.

Big Data 107

Big Data Mobile Cloud Data 107

CIO

FEBRUARY 14, 2023

This has also accelerated the execution of edge computing solutions so compute and real-time decisioning can be closer to where the data is generated. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations. report they have established a data culture 26.5%

Artificial Inteligence 289

Artificial Inteligence Strategy Data Machine Learning 289

Perficient

MARCH 6, 2023

First developed at LinkedIn in 2010, it has become one of the most widely used messaging systems for big data and real-time analytics. Kafka can process and transmit massive amounts of data in real-time, and its design ensures fault tolerance, scalability, and high availability.

Scalability 64

Scalability Big Data Analytics Applications 64

CTOvision

FEBRUARY 26, 2014

By Bob Gourley With high-speed data analytics and cyber analytics enterprises shift the balance of power in cyber security. The new Novetta Cyber Analytics solution, running on a Teradata analytic data platform, can provide insight and discovery into the “who, what, where, when, and why” of advanced persistent threats.

Analytics 102

Analytics Big Data Conference Malware 102

Mentormate

APRIL 15, 2024

With built-in security features and an intuitive development environment, Java provides a solid foundation for secure, scalable, and adaptable software products. Performance and Scalability Java’s performance and scalability have been critical to its continued relevance, particularly in enterprise computing.

Software Review 52

Software Review Telecommunications Scalability Technical Review 52

CIO

MARCH 24, 2023

Doing so can help companies remain responsive, especially as they grow to a size in which it is no longer efficient for individuals to perform cross-functional tasks. Several of the overall benefits of data management can only be realized after the enterprise has established systematic data governance.

Government 357

Government Data Technical Review Policies 357

Perficient

FEBRUARY 28, 2023

These charts show just a few of the use cases we’ve built for past provider, payer, and life sciences clients, to paint a picture of the actual analytics value we’ve delivered. For some background, this client experienced significant growth through acquisition over the past few years, which left their data sprawled across many systems.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

CTOvision

DECEMBER 16, 2014

It is no secret that today’s data intensive analytics are stressing traditional storage systems. The capacity of individual drives continues to increase while performance sees little change. Similarly, adding NVM technology as a burst buffer or a flash cache can greatly mask the performance limitations of spinning disk.

Storage 104

Storage Analytics System Data 104

Perficient

FEBRUARY 13, 2024

Databricks is a cloud-based data processing and data warehousing platform that has gained immense popularity in recent years. It was developed by the creators of Apache Spark, an open-source big data processing framework. When combined with Databricks, Dolly unlocks a whole new level of data analytics potential.

Artificial Inteligence 52

Artificial Inteligence Analytics Machine Learning Testing 52

OTS Solutions

AUGUST 16, 2023

Understanding App Modernization in the Digital Age Defining App Modernization App modernization is the process of upgrading and improving the functionality and performance of existing mobile applications to meet the requirements of current business needs. AI and ML are transforming the way applications are developed and optimized.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Understanding App Modernization in the Digital Age Defining App Modernization App modernization is the process of upgrading and improving the functionality and performance of existing mobile applications to meet the requirements of current business needs. AI and ML are transforming the way applications are developed and optimized.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

CTOvision

OCTOBER 18, 2013

In March 2011 Businessweek quoted Cloudera’s Mike Olson describing a “Cambrian explosion” of corporate analytical technology. H2O by 0xdata brings better algorithms to big data. With H2O enterprises can use all of their data (instead of sampling) in real-time for better predictions.

Technical Review 99

Technical Review Analytics Technology Big Data 99

Kentik

SEPTEMBER 6, 2016

This post focuses on the first of those videos, in which Kentik’s Jim Frey, VP Strategic Alliances, talks about the complexity of today’s networks and how Big Data NetFlow analysis helps operators achieve timely insight into their traffic. Why Big Data NetFlow Analysis? Big Data Architectural Considerations.

Big Data 40

Big Data Analysis Data Architecture 40

Kentik

APRIL 16, 2018

We live in the age of analytics, powered by incredible advances in distributed computing and big data technology. Companies are turning to data and analytics to improve all aspects of how they do business. KPI data from network elements and monitoring probes. Application performance metrics.

Performance 40

Performance Cloud Big Data KPI 40

Kentik

AUGUST 10, 2018

Enterprises are increasingly trying to reduce costs while improving agility, scalability, and time-to-market. Network-based analytics is critical to satisfying service assurance needs. Effective application performance management depends on modern network performance management tools. Service Assurance Best Practices.

Analytics 49

Analytics Network Quality Assurance Big Data 49

CTOvision

APRIL 6, 2015

Here is more: Enterprises in government are awash in more data than they can make sense of. This has given rise to the current “Big Data” phenomenon, in which opportunities for turning data into knowledge using analytics calls for new solutions.

Government 113

Government Business Analytics Big Data Architecture 113

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023.

Data 87

Data Data Engineering Big Data Architecture 87

Capgemini

MARCH 16, 2022

Across industries, operations managers understand that “digital” has indeed unlocked a new wave of performance improvement opportunities. New technologies make it possible to leverage the wealth of data locked in production equipment and improve its reliability, performance, and flexibility. Industry 4.0

Industry 98

Industry IoT Technical Review Automotive 98

CloudSphere

AUGUST 10, 2023

Not only were HR team members responsible for recruitment and retention efforts within a company, but they were also expected to perform functions like payroll, benefits administration, and record-keeping. In recent years, however, HR has begun a transformative journey fueled by the integration of technology.

Technical Review 52

Technical Review Technology Artificial Inteligence Artificial Intelligence 52

TIBCO - Connected Intelligence

NOVEMBER 10, 2019

This year’s theme for Big Data LDN (London) challenges organizations to take a data-oriented approach to solve their biggest business challenges. Victory Fueled by Data Keynote. Data-driven performance can make the difference between victory and defeat in the highly competitive world of Formula One.

Big Data 20

Big Data Data Analytics Storage 20

The Citus Data

JANUARY 24, 2019

Today, I’m very excited to announce the next chapter in our company’s journey: Microsoft has acquired Citus Data. When we founded Citus Data eight years ago, the world was different. Clouds and big data were newfangled. As I reflect on our Citus Data journey, I am very proud of what our team has accomplished.

Data 78

Data Open Source Scalability Big Data 78

Xebia

MARCH 10, 2021

Therefore these organisations introduce a new capability: Data & Analytics. This blog elaborates on how adopting DevOps principles can enhance business value creation for the world of Data & Analytics. Data & Analytics as a separate business domain. a data & analytics platform).

DevOps 130

DevOps Data Analytics Policies 130

Datavail

APRIL 6, 2021

Oracle Analytics Cloud. Oracle Data Cloud. Using SaaS is best in the following situations: Your software needs to prioritize scalability and accessibility from anywhere at any time. Oracle PaaS includes functionality for application development, content management, and business analytics, among others. Oracle HCM Cloud.

Cloud 97

Cloud Disaster Recovery Artificial Intelligence Artificial Inteligence 97

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. Embrace FinOps.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

KitelyTech

FEBRUARY 15, 2023

AWS is the most popular cloud platform, offering a wide array of services like storage, networking, databases, analytics, application development and deployment. AWS offers the most versatile selection of features, including a wide range of computing, storage, database and analytics services.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

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., Cloudera CTO on Big Data analytics and security risks. Big Data is a trillion market, says Cloudera CSO Mike Olson | #BigDataNYC.

Technical Review 103

Technical Review Technology Big Data Firewall 103

CTOvision

JUNE 15, 2015

For years it has seemed like IBM was giving lip-service to Spark while emphasizing capabilities that they placed big bets on over the years (especially IBM's flagship stream processing product, InfoSphere Streams). Spark is still new and frankly there have been issues with performance from time to time.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117