Sunflower Lab

JULY 5, 2023

This blog explores how the implementation of Intelligent Process Automation leads to growth and productivity of business and its operations. With the help of AI and ML, IPA uses bots to perform complex and time-consuming activities, freeing up the employees to do high-priority work.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning Analytics 52

Tenable

MARCH 20, 2024

Explore how Tenable One for OT/IoT helps organizations stay ahead in today's evolving threat landscape with end-to-end visibility and cyber risk prioritization across IT, OT and IoT. This creates the need for specialized solutions tailored to specific enterprise requirements.

IoT 70

IoT How To Network Tools 70

Perficient

MAY 18, 2023

for new initiatives/changes & operational excellence to run the business as usual Business Continuity and Disaster Recovery considerations The list can go on and on… Only those who have an agile and the right mindset can adapt, survive, and thrive.

Architecture 64

Architecture Enterprise Disaster Recovery Compliance 64

Netflix Tech

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.),

Data 77

Data Microservices Transportation Systems Review 77

Perficient

MARCH 9, 2024

Ultimately, I spent more time than I had expected to get a working process going. I worked through some issues (part one). I got worked by some issues (part two). By the time I was done I had forgotten half of it, so I decided to pull it together in a blog post that I know at least I’ll read.

Test-Driven Development 52

Test-Driven Development Testing Development Software Review 52

Perficient

MARCH 9, 2024

Ultimately, I spent more time than I had expected to get a working process going. I worked through some issues (part one). I got worked by some issues (part two). By the time I was done I had forgotten half of it, so I decided to pull it together in a blog post that I know at least I’ll read.

Test-Driven Development 52

Test-Driven Development Testing Development Software Review 52

Hu's Place - HitachiVantara

JANUARY 3, 2019

” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. .” ” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared.

Trends 86

Trends Artificial Inteligence Data Center Machine Learning 86

Cloudera

AUGUST 21, 2020

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To start off, what are the advantages of a forward-looking data-in-motion strategy?

Data 59

Data Analytics Banking Government 59

Kaseya

JULY 7, 2022

Without a system or process, users will not know where to direct their queries and IT technicians will not know how to track and resolve tickets. An IT help desks prevent users from wasting productive time searching for simple solutions that an expert can provide in a minute. billion by the end of 2032. What are help desk metrics?

Metrics 59

Metrics KPI Knowledge Base Software Review 59

Coforge

NOVEMBER 1, 2020

Part 04 - How to achieve single customer view. We conclude our series of blogs “ Sitecore 10 – A Single Customer View. With this blog which will help you achieve your goal. . Maintaining the data: Integration with source systems. How do you want the data modifications to reflect on your source systems? .

How To 40

How To Digital Marketing Technical Review Analytics 40

TIBCO - Connected Intelligence

JULY 13, 2021

For many credit unions, their emphasis has changed from primarily focusing on member retention to an approach designed to grow revenue. To facilitate this evolution, credit unions are increasingly mining data to identify profitable areas of focus. Developing Data Analytics Strategies. Putting Data Analytics to Work.

Analytics 26

Analytics Data Programming Fintech 26

Netflix Tech

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Windows 84

Windows Software Review Data Engineering 84

Hu's Place - HitachiVantara

FEBRUARY 1, 2019

Lately I have been focused on the operational aspects of data, how to prepare data for business out comes and less about the infrastructure that supports that data. As processor speeds have increased, an increasing amount of processor time is spent idling, waiting for data to be fetched from memory.

Hardware 49

Hardware Architecture Storage Systems Review 49

Apiumhub

MARCH 26, 2019

GSAS is a one day summit which aims to connect software architects from all over the world as well as all those software experts who build working software and want to improve their skills, share knowledge, and connect with like-minded people. And the core values of GSAS are: Working software over number of features. Mark Richards.

Software Review 44

Software Review Architecture Technical Review Systems Review 44

Xicom

JANUARY 21, 2021

Whether it’s scrolling down through favourite blogs, paying online, socializing with your amigos over social media apps, checking the news or connecting with colleagues using collaboration software and tools – whatever we do, we rely on some or other form of technology. But, it’s the people who understand the data that matter.

Web Development 52

Web Development Development Software Review Analytics 52

Netflix Tech

AUGUST 1, 2022

Data Mesh?—?A A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A After evaluating the options , the team has decided to create Data Mesh as our next generation data pipeline solution.

Data 108

Data Transportation Systems Review System 108

AWS Machine Learning - AI

MARCH 15, 2024

However, existing solutions can often fall into two categories: rule-based systems that demand substantial time and effort for setup and upkeep, or rigid systems that lack the flexibility required for human-like interactions with customers. Solution overview The following diagram illustrates our solution architecture.

Generative AI 113

Generative AI Lambda AWS Artificial Inteligence 113

Honeycomb

MARCH 28, 2024

There’s a sentence that strikes fear into the heart of every frontend developer I’ve ever met: Users are reporting issues, and we don’t know how to replicate them. If you figure out how to replicate an issue, you can take advantage of your browser tools to understand it and identify a solution. Do you cry?

Weak Development Team 67

Weak Development Team Metrics Open Source Tools 67

Altexsoft

MARCH 16, 2021

These devices are used to collect tons of various health and fitness-related data, such as daily activity, pulse, temperature, sleep patterns, and so on, all that in real time. But what happens to all the massive amounts of data from all these wearables and other medical and non-medical devices? Let’s see where it can come from.

Big Data 116

Big Data Healthcare Applications Data 116

Netflix Tech

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making.

Data 101

Data Technical Review Report Systems Review 101

Perficient

JANUARY 11, 2023

Journey Science, the Next Frontier in Data Driven Customer Experience. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed their customers’ expectations, outpace the competition, and grow their business with unparalleled strategy, creative and technology capabilities.

Data 64

Data Research Analytics Organization 64

LaunchDarkly

JANUARY 17, 2019

Edith shares insights around implementing feature flags, how they can be used to better control product releases, and how they can be used for testing and validation. A system of A-B testing different versions of your software lets you see how different flavors of that software can perform against similar audiences.

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Cloudera

MARCH 15, 2023

In this post, I will demonstrate how to use the Cloudera Data Platform (CDP) and its streaming solutions to set up reliable data exchange in modern applications between high-scale microservices, and ensure that the internal state will stay consistent even under the highest load.

Data 88

Data Microservices Storage Applications 88

Confluent

JUNE 18, 2019

Software projects of all sizes and complexities have a common challenge: building a scalable solution for search. You might be wondering, is this a good solution? Building a resilient and scalable solution is not always easy. It involves many moving parts, from data preparation to building indexing and query pipelines.

Scalability 96

Scalability Architecture Machine Learning Artificial Inteligence 96

Altexsoft

FEBRUARY 10, 2021

Unless you meet it in the article saying that “only 13 percent data science projects make it into production.” This sounds really ominous — especially, for companies heavily investing in data-driven transformations. New approaches arise to speed up the transformation of raw data into useful insights. DataOps vs DevOps.

Analytics 75

Analytics DevOps Development Software Review 75

scruminc

DECEMBER 4, 2020

2020 Scrum Guide Changes and Updates Explained. Team | February 21, 2018 | Blog. The 2020 Scrum Guide contains numerous updates and changes that make it the best guide yet. You can also learn more about the changes by watching the official 2020 Scrum Guide Launch event. 2020 Scrum Guide: Overview of Changes.

SCRUM 133

SCRUM Systems Review Technical Review Meeting 133

Altexsoft

JANUARY 21, 2019

In this article, we’ll talk about the core principles of reinforcement learning and discuss how industries can benefit from implementing it. How reinforcement learning works. RL algorithm learns how to act best through many attempts and failures. What is reinforcement learning? Source: Sutton, R. and Barto, A.

Comparison 69

Comparison Applications Artificial Inteligence eCommerce 69

Exadel

AUGUST 18, 2022

To stay ahead of the game, companies need to strategically hone an approach that embraces both software solutions and real, human-client interaction, to convert potential customers into long-term paying customers. Strategy – How can I reach those objectives? Control – How can I evaluate the results?

Marketing 98

Marketing Strategy Development How To 98

Confluent

FEBRUARY 13, 2019

Once settled on the event streaming approach, I’ll provide a high-level dataflow of how we design systems for payment processing at scale using this approach. In this way, we don’t think about solution architecture in just one dimension. Data evolution. This makes them easier to develop and amenable to change.

Architecture 90

Architecture Programming Microservices Serverless 90

Netflix Tech

NOVEMBER 3, 2022

This blog post presents how our current iteration of Titus deals with high API call volumes by scaling out horizontally. We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe.

Systems Review 89

Systems Review System Testing Scalability 89

Kentik

JANUARY 29, 2020

There is a lot of confusion regarding the two primary data sets in network management: SNMP and flow. While there are newer technologies such as streaming telemetry (ST), which users have grand thoughts about, unfortunately ST is not a replacement for many aspects of SNMP (but this is a topic for another blog post!). What is SNMP?

Network 78

Network Data Center Construction Architecture 78

Instaclustr

AUGUST 4, 2021

Centers for Disease Control and Prevention Control Data Corporation Change Data Capture. (1) Centers for Disease Control and Prevention ( cdc.gov ) has certainly been in the forefront of the news, and their Apache Kafka Covid-19 pipeline was the inspiration for my ongoing Kafka Connect streaming data pipeline series.

Data 59

Data Open Source Analytics System 59

Confluent

JULY 10, 2019

The repository’s README contains a bit more detail, but in a nutshell, we check out the repo and then use Gradle to initiate docker-compose : git clone [link] cd kafka-examples git checkout confluent-blog./gradlew In our case, we needed to encapsulate a series of string manipulation patterns that were consistent across many of our pipelines.

Lambda 87

Lambda Analytics Testing Groups 87

Confluent

FEBRUARY 27, 2019

With serverless being all the rage, it brings with it a tidal change of innovation. FaaS functions only solve the compute part, but where is data stored and managed, and how is it accessed? What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless? Next Steps. What is FaaS?

Serverless 109

Serverless Lambda AWS Systems Review 109

Confluent

MAY 9, 2019

So far in this series, we have recognized that by going back to first principles, we have a new foundation to work with. All of these, and more, lead to design patterns that can be used and reused. To read the other articles in this series, see: Journey to Event Driven – Part 1: Why Event-First Thinking Changes Everything.

Microservices 93

Microservices Metrics Systems Review Architecture 93

CTOvision

JUNE 3, 2014

According to the federal model, there are 15 functional areas comprising a comprehensive continuous monitoring solution, as shown in the graphic below: These functional areas are grouped into the following categories: Manage Assets. I previously wrote about the various “functional areas” of continuous monitoring. Manage Accounts.

Disaster Recovery 105

Disaster Recovery Enterprise Infrastructure Firewall 105

The Programmer's Paradox

JANUARY 22, 2008

Over the years I've worked in many development sites, read tonnes of code and heard way too many horror stories about development projects gone bad. It is an odd historically-driven aspect of programming, our need to make the work more difficult than necessary. Once I collected these four together, they fit quite naturally.

Weak Development Team 40

Weak Development Team Development Analysis Programming 40