The Present and Future of RPA for Devs

We've touched on what goes into building a good RPA flow, so let's pull back a bit and look at the technology as a whole. Again, we're going to be tackling this from a developer's point of view, and again, we're going to rely on our friends from UiPath's dev team to help out.

(By the way, this is going to be a useful, but higher-level look at RPA. If you're looking for more of a tutorial, check out our Refcard Getting Started With Robotic Process Automation.)

The Role of Data Matching in Big Data Business Strategy

“It is both staggering and exciting to imagine how data and analytic capabilities will transform entire industries.”

– Ariel Dora Stern

As promising as big data analytics sound, there’s still a huge gap between a company’s expectations with their data and the reality. In the article Companies love big data but lack the strategy to use it effectively, Harvard Business School shared some insights that they teach to executives:

Database Architectures and Use Cases – Explained

With over 300 databases on the market, how do you determine which is right for your specific use case or skill set?

We continue to see the common debate of SQL vs. NoSQL and other database comparisons all over social media and platforms like dev.to. In most cases, it’s not that one database is better than the other, it’s that one is a better fit for a specific use case due to numerous factors.

Uses for MariaDB and the Spider Storage Engine

Spider is a storage engine for the MariaDB Platform that allows you to build distributed databases from a standard MariaDB setup. The technology is not complicated, although the implementation is. This blog will explain how the Spider storage engine works, what it does and will also show some of the use cases.

MariaDB Storage Engines

Before we look at the Spider storage engine, let's have a quick look at the storage engine concept. A storage engine is the implementation of code that manages the low level of data access in MariaDB. The storage engine handles things such as reading and writing data, row-level locking, if supported, multi-versioning and transaction management, among other things.

Implementing and Deploying the Domain Project With MuleSoft

Introduction

Domain Project is used to create shared resources that can be reused.

Mule can define selected connectors as common resources and expose them to all apps deployed under the same domain. These resources are known as shared resources. To host them, you must create a Mule Domain Project and then reference it from each of the projects that use the elements in it. Once defined, any Mule app associated with a particular domain can access resources in this file. Note that Mule apps can be associated with only one domain at a time.

2020 Agile Predictions

The last days of 2019 are upon us, and our engineers are gearing up for the final sprint of the year. Given that Agile, or at least core parts of it, has become so commonplace in development these days, it can be tough to think of what's coming next. With that in mind, we've asked our contributors and contacts what they thought next year will look like, and here's what they had to say.

  • Badri N. Srinivasan, AVP and Enterprise Agile Coach/Lead, Agile Center, Societe Generale Global Solutions Center: All about scale: Agile methodologies will continue to grow in strength and more new projects will start with agile methodologies. Organizations already using agile for their projects will explore opportunities to scale the benefits at a much larger level through agile@scale models/frameworks. The scenario continues to look quite optimistic for agile methodologies in the next 6-12 months.

  • Bas Groot, Architect: More of the same: I hope to propagate my Premature/Foreseeable concept into the Agile world, but I'm not sure how quickly the message can be adopted. I need more people who get it and want to support the idea.

    But more likely is that Agile will become an increasingly hollow ritual and control structure coverup, until some new evangelist charlatan stands up and storms the conferences with the 10th rebirth/repackaging/rewording of what's called "agile" today.

  • Thomas Hansen, CEO/CTO, T.H. Rose Home Cloud: The right tool for the right job: The Agile community will (sigh) finally realise that it's impossible to implement Agile methodology without Agile tools ... ;)

  • Kunal Agarwal, CEO, Unravel Data: Conversation moves from technologies to use cases: Organizations increasingly care about the use cases a vendor supports rather than the specific data technology that vendor employs. In the past, many organizations thought that in order to leverage big data they had to deploy technology X or technology Y. That’s changing dramatically as we move into 2020, with these orgs paying less attention to the tech under the hood and instead focusing on delivering specialized use cases that advance their bottom line.

Six Key Checkpoints to Master RPA Implementation

Digital disruption and the changing nature of customer preferences have made it imperative for traditional businesses to reinvent their tectonic business processes. In this pursuit, robotic process automation acquires the driver’s seat.

RPA has the potential to address “digital gaps” in any business. It automates manual processes and infuses agility. It can empower the frontline staff to focus on other value-added tasks by automating “long-tail” of low-volume or low-value processes.

Security Use Cases by Application

We're excited to announce Trend Reports by DZone beginning with Application Security! Everyone involved in building applications — from developers to CTOs — should think about security ramifications. This Trend Report will explore what developers feel are the most prominent threats, where corporate priorities lie, and how secure coding practices are being implemented. Keep an eye on your inbox and our homepage on July 22nd to learn more.

To understand the current and future state of the cybersecurity landscape we spoke to, and received written responses from, 50 security professionals. We asked them, "What are some use cases you’d like to highlight?"

Database Use Cases

To learn about the current and future state of databases, we spoke with and received insights from 19 IT professionals. We asked, "What are some real-world problems you, or your clients, are solving with databases?" Here’s what they shared with us:

Industry

  • Financial Services

    • We operate in the capital markets industry. Use cases capture high-frequency datasets for electronic trading, surveillance, and regulatory reporting where you have to analyze and run analytics against trillions of data points. IoT and IIot are big industries around capturing data from sensors in manufacturing plants and helping customers to optimize the manufacture of semiconductors and doing predictive analytics when a machine might suffer a failure so a company can take action before a failure occurs.
    • Quite a few organizations with large legacy on-prem datacenter rise in demand for cloud database support and all of the work required to move to the cloud. Large banks and retailers pursuing cloud initiatives. Database changes that need to float through a software pipeline. Better use of cloud platforms.
    • Santander has banking systems of hardware mainframe databases with Cobol. They’re and need to modernize applications Work with them on augmentation. New services for applications and share between the two systems to address customer requirements, more interactive capabilities without replacing existing. Another cloud agnostic, Kaminos financial banking software cloud-native, cloud-agnostic system. We work on any cloud.
  • Retail

    • Customer journey and hyper-personalization for marketing across all industries — retail, financial services, oil and gas, Telcos. Retain and acquire more customers Instead of transactional these use cases get into behavioral aspect based on transactional and social. What triggers you to refinance with us? These are Greenfield applications. Classical use cases like risk management, fraud detection, and inventory management are getting rebuild with analytics context built right in. Current engines are unable to scale beyond 90 days-worth of data. Customers want one and two-year views to make more informed decisions.
  • Other

    • One of our customers is collecting events and incidents in cloud databases, providing their customers with real-time actions /alerts/insights, and enabling companies to make better use of cloud technologies. We allowed them to save a lot of money doing so, and also opened up new use cases within their software. Another customer (in the packaging industry) is using our IoT Data Platform to increase the efficiency of their manufacturing production by providing real-time insights and alerts to the shop floor operators who can then fix issues faster and more acutely.
    • 1) Genomics England: Working with the NHS, Genomics England is sequencing 100K genomes from patients with rare diseases and their families, as well as patients with common cancer. MongoDB provides the flexibility needed to store and analyze complex data sets together as the team seeks to deliver better diagnostic approaches for patients and new discoveries for doctors and scientists.

      2) Coinbase: as crypto and the blockchain continue to carve out real-world use cases--international payments, debt settlement, verification for sensitive systems such as voting, etc. — Coinbase has scaled its operation to handle the massive amount of data that can transfer during peak windows, requiring transactional guarantees at huge scale.

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Understanding Kubernetes from Real-world Use Cases

Why Kubernetes?

The Docker adoption is still growing exponentially as more and more companies have started using it in production. It is important to use an orchestration platform to scale and manage your containers. 

Imagine a situation where you have been using Docker for a little while, and have deployed on a few different servers. Your application starts getting massive traffic, and you need to scale up fast; how will you go from 3 servers to 40 servers that you may require? And how will you decide which container should go where? How would you monitor all these containers and make sure they are restarted if they die? This is where Kubernetes comes in.

Healthcare IoT: Monitoring Diabetes With Logz.io

A Quick Introduction to Diabetes and IoT

Before I hop right in, it’s important to understand a bit about diabetes. Diabetes is what happens when your body cannot produce (type 1) or respond (type 2) to insulin effectively. The impact on the body is frequently quite severe — people who have difficulty controlling their blood sugar levels run the risk of losing feeling in their fingers and/or toes or even going into a coma if their blood sugar is either too high or too low. 

More on the subject: