Unlocking the Top Five Open-Source Database Management Software

Cloud computing has opened new doors for business applications and programs to utilize databases to store data every day worldwide. These databases are well-known for securing data and making it accessible only to channels where the chief data officer (CDO) permits. Previously, organizations depended on database-paid suites, which were expensive and limited in options; however, now IT organizations have open-source databases for all their data, as these are affordable and flexible. However, it is often difficult to find the right cloud database service provider that will not only store the data of your company but also transfer it to the database, while data professionals can access it anywhere with an internet connection.

In this review article by AITech Park, we will explore the top five open-source cloud databases that can be used by IT professionals to build robust applications.

Apache CouchDB

CouchDB by Apache is a database duplication tool that deters data loss in the event of network failure or any other pipeline failure. The software creates a dedicated database system that can operate efficiently on ordinary hardware, not just by deploying on one server node but also as a single analytical system across numerous nodes in a cluster, which can be mounted as needed by adding more servers. For a seamless operation, the database uses JSON documents to store data and JavaScript as its query language. Further, it also supports MVCC and the ACID properties in individual documents.

MySQL

MySQL is one of the most popular and oldest open-source databases, and it is known as its best database for web-based apps such as Trello and Gmail. The database software uses the Structured Query Language (SQL), which lets data professionals store data in tables, develop indexes on the data, and query the data. MySQL supports an expansive variety of techniques and has a very low probability of getting the data corrupted as it gears for transactional uses, further supporting analytics and machine learning (ML) applications.

PostgreSQL

PostgreSQL became popular among data professionals and developers around 1995 when it started working as a SQL language interpreter, and decades later it became a popular open-source cloud database. This database software offers full RDBMS features, such as ACID compliance, SQL querying, and clearance for procedural language queries to develop stored procedures and stimuli in databases. PostgreSQL also supports enterprise applications that demand complex transactions and high levels of concurrency, and occasionally for data warehousing. It also supports multi-version concurrency control (MVCC), so data can be read and edited by various users at the same time, and it also sustains other varieties of database objects.

To Know More, Read Full Article @ https://ai-techpark.com/top-five-open-source-database-management-software/ 

Related Articles -

Generative AI Applications and Services

Digital Technology to Drive Environmental Sustainability

Trending Category - AItech machine learning

AITech Interview with Raj Gummadapu, Co-Founder and CEO at Techwave

Raj, please share key insights into your role as the Founder and CEO of Techwave and your journey contributing to its rapid growth.

As the Founder and CEO of Techwave, my journey has been one of relentless pursuit of excellence and innovation. Steering Techwave from its inception to becoming a global leader in digital transformation services has been both challenging and rewarding. My role has demanded a visionary outlook to foresee industry trends, a strategic mindset to navigate market dynamics, and a people-first approach to leadership. This trifecta has been crucial in contributing to Techwave’s rapid growth. We’ve expanded our global footprint, diversified our service offerings, and nurtured a culture that champions innovation, inclusivity, empathy, and continuous learning. My leadership philosophy has always been about empowering our teams, fostering a collaborative environment, and placing our clients at the center of everything we do.

What notable accomplishments has Techwave achieved under your leadership, particularly in terms of expansion, capitalization, and employee engagement initiatives?

Under my stewardship, Techwave has achieved remarkable growth, a testament to our innovative solutions, customer-centric approach, and the dedication of our global workforce. We’ve significantly expanded our presence, now operating with a prominence presence in 11 countries across the globe and serving a diverse client base across industries. Our workforce has grown to over 3000 associates, a reflection of our robust expansion and capitalization strategies.

Our employee engagement initiatives, particularly the SPARK framework, underscore our commitment to creating a vibrant and inclusive work culture. This framework focuses on engaging employees, fostering community engagement, and promoting diversity, which has significantly contributed to our high levels of employee satisfaction and retention.

Our corporate social responsibility efforts, like supporting the Houston Food Bank and participating in Primiethon – The Hope Run, reflect our commitment to making a positive impact in the communities we serve. These initiatives, alongside our accolades such as Asia’s Best Employer Brand Award and the President’s Volunteer Service Award, highlight our achievements in fostering a culture of excellence and community service.

How has Techwave positioned itself to stay ahead in a competitive digital landscape?

In a rapidly evolving digital landscape, staying ahead requires agility, foresight, and a commitment to innovation. At Techwave, we’ve positioned ourselves at the forefront of digital transformation by continuously investing in emerging technologies and nurturing a culture that embraces change. Our R&D efforts are focused on leveraging AI, machine learning, cloud-native technologies, and blockchain to develop solutions that address our clients’ most complex challenges of today and tomorrow.

We prioritize understanding our clients’ unique needs and market dynamics, which enables us to tailor our solutions for maximum impact. Our approach to innovation is not just about adopting new technologies but integrating them in ways that redefine business processes, enhance customer experiences, and drive sustainable growth.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-raj-gummadapu/ 

Related Articles -

Digital Technology to Drive Environmental Sustainability

Democratized Generative AI

Trending Category - AI Identity and access management

Beyond Numbers: Unveiling the Power of Data Literacy in the Digital Age

As we have entered the digital era, data and analytics strategies (D&A) have become important, as these technologies can transform any business during a massive data spike. According to global research, it was observed that around 2.5 quintillion bytes of data are produced by IT companies every day; therefore, to understand the importance of data, every employee must be data literate.

For a better understanding of data, the Chief Data Officers (CDOs) play an important role in making every employee data literate, i.e., able to understand, share, and have meaningful insight into data.  

With this mindset, organizations can seamlessly adopt emerging and existing technologies and transform their business outcomes across all departments while fostering quality decision-making, innovation, and a better customer experience. The CDOs

In this exclusive AI TechPark article, we will discuss the evolution of data literacy and how it can transform any organization into a data-literate one.

Read more about The Value of the Chief Data Officer in the Data Governance Framework

The Evolution of Data Literacy in the Technological Era

In the past few decades, data literacy has experienced a significant transformation with the introduction of new technologies and the explosion of data. This shift has ignited from traditional data analysis to a modern era of big data that has redefined the way organizations can make data-driven decisions.

To analyze data, data scientists and analysts were confined to basic statistics and simple datasets. Even to analyze the data, data professionals needed more tools, narrow, small-scale datasets, and internal data sources. However, in the late 20th century, there were a lot of technological advancements, such as the introduction of data storage, big data, and cloud computing. This helped data scientists collect and process massive amounts of data from complex, unstructured datasets that could be further analyzed for deeper insight.

Read more about Navigating the Future With the Integration of Deep Learning in Big Data Analytics

As a result of these technological advancements, the power of data has become a center point for developing strategic planning and seamlessly operating business efficiency in the IT industry. Thus, data literacy becomes equally important to developing a data-literate workforce and ensuring that professionals harness the full potential of data for competitive advantage in the data-driven landscape.

Data is necessary, empowering at both individual and organizational levels by creating a pathway to harness real-world data-driven decision-making and data-driven organizational strategy.

In an era where artificial intelligence, data analysis, machine learning, and big data are driving critical business decisions and the ability to steer through complex datasets and extract business insights, data literacy is the epitome of enhancing employability, making informed business decisions, driving innovation, and gaining a competitive edge.

To Know More, Read Full Article @ https://ai-techpark.com/understanding-data-literacy-in-the-digital-age/ 

Visit Related Categories

IOT Smart Cloud

Threat Intelligence & Incident Response

News - Marvell launches products, technology and partnerships at OFC 2024

Top Four Data Trends IT Professionals Need to Be Aware of in 2024

2023 was a terrific year in the IT industry, but 2024 is set to bring some exciting and groundbreaking developments that will help IT professionals and data scientists develop innovative software and tools to strive in the competitive landscape.

The most recent technological advancement in the data landscape is quite commendable. In 2024, IT enterprises will be heavily impacted, as data is the new oil that can transform any business and reshape the traditional process of analyzing, visualizing, and making data-driven decisions.

As IT enterprises grapple with the data deluge, they often find themselves at an intersection of technological innovation, ethical considerations, and the need for actionable solutions.

In today’s exclusive AI Tech Park article, we will focus on gearing up IT professionals and data scientists to understand the data trends they can expect in 2024.

The Era of the Data Renaissance

The phrase “data is the new oil” was stated in 2006 by British data scientist Clive Humby. The one big difference between data and oil is that oil is a nonrenewable energy, and data can be renewed and reused in an infinite number of ways.

Three decades ago, one of the main challenges that IT enterprises faced was the scarcity of data. However, with time, the main challenge for most IT businesses was having a plethora of data.

With such a volume of data, enterprises struggle with how to use the data, where to implement it, when they need it, and most importantly, how to store it. The traditional database management systems (DMS) failed to tackle the new data sets, which made data professionals realize the importance of cloud storage, which is efficient in handling numerous types of data and quite cost-efficient compared to DMS.

As we stand at the crossroads of a data renaissance, the year 2024 heralds an important role in the data analytic landscape, where data analytics is no longer a tool for data-driven decision-making but a driving force to push greater efficiency, innovation, real-time data insights, responsible AI, reinforce security, and more.

However, IT professionals and data scientists need to address the challenges and considerations of imposing data privacy, skill development, and ethical dilemmas to stay compliant with this evolving regulatory landscape.

Data Democratization

Data democratization has been a growing trend for the past few years, but the increased usage of AI and machine learning (ML) tools has rekindled a new horizon for this trend. With data democratization, every employee in an IT organization will have access to the data to make data-driven decisions for a seamless business process. However, to get full access to data, IT leaders need to provide in-house training on data literacy to familiarize them with the principles and techniques of working with data.

To Know More, Read Full Article @ https://ai-techpark.com/top-4-data-trends-it-professionals-need-in-2024/ 

Read Related Articles:

Blockchain, AI, and Quantum Computing

Ethics in the Era of Generative AI

Eric Sugar, President at ProServeIT – AI-Tech Interview

Eric, could you please introduce yourself and elaborate on your role as president at ProserveIT?

Hello, I’m Eric Sugar, President at ProServeIT, my focus is on helping clients set their strategic direction with regards to technology that enables their business.  Eric’s passion is teaching how technology can be leveraged by businesses to enable growth and added value.  As President at ProServeIT  I support our clients and team in creatively deploying and using technology.

Eric holds a Bachelor of Arts (Economics and Math) from the University of Toronto.

I’m an avid rower, cyclist and hockey player who can put a golf ball in the woods better than most.

Can you provide a concise overview of Zero Trust Architecture and its significance in modern cybersecurity?

Zero Trust Architecture (ZTA) is a security model that assumes that any user, system, or service operating within or outside of an organization’s network perimeter is untrustworthy until proven otherwise. It is based on the principle of “never trust, always verify” and requires strict identity verification for every person and device trying to access resources on a private network, regardless of their location. The principles behind a Zero Trust network include Identity and Access Management (IAM), Data Protection, and Network Segmentation

In the context of ZTA, how does the concept of “never trust, always verify” apply to both internal and external network environments? What are the key implications of this approach for organisations?

In the context of ZTA, the concept of “never trust, always verify” applies to both internal and external network environments. This approach has key implications for organizations, as it requires them to implement strict identity verification and access controls for every person and device trying to access their resources, regardless of their location. This helps organizations mitigate cybersecurity risks and protect sensitive data effectively

What are the key benefits of implementing Zero Trust Architecture, and how does it help organisations mitigate cybersecurity risks and protect sensitive data effectively?

The benefits of implementing ZTA include reducing the attack surface and preventing lateral movement by attackers within the network, as each resource is isolated and protected by granular policies and controls. It also enhances the visibility and monitoring of network activity and behavior, as each request and transaction is logged and analyzed for anomalies and threats.

To Know More, Read Full Interview @ https://ai-techpark.com/ai-tech-interview-with-eric-sugar-president-at-proserveit/

Read Related Articles:

What is ACI

Democratized Generative AI

Unveiling the Cloud: CIOs Shaping the Future of Cloud Computing

In this technologically advanced world, companies adopting cloud computing quickly bring new opportunities to the market. IT professionals have the bandwidth to innovate new models and software, which eventually scale up better business efficiency and reduce the risk of technology hazards.

However, it is quite unfortunate that most CIOs still implement the traditional models that may have been successful in the past. Still, in this digitalized world, it is almost impossible to work without cloud computing.

Embracing cloud computing in enterprises ignites innovation, agility, and enhanced customer satisfaction. Therefore, cloud migration leads to a transformative journey by implementing business innovations such as next-generation hosting applications or data platforms to stay ahead of business competition.

This article is about how CIOs can implement the cloud migration process and how it is a transformative journey.

Cloud Computing’s Holistic Approach

Cloud computing technologies have been playing a leading role in transforming businesses across all industries for over a decade now. This technology has become the key that enables innovations and technological breakthroughs, as businesses are realizing the advantages of cloud computing over traditional methods of computing and storing data.

Consider an example: Migrating to cloud computing can help your business reduce the unnecessary cost of purchasing on-premises software and hardware. This approach eventually helps you understand if you want to scale up or down the utilization of cloud services, benefiting your business during seasonal fluctuations.

In the current business world, cloud migrations and cloud-native have become top priorities for CIOs; however, this technology comes with its complexities, such as how to optimize cloud costing or what the best practices are for hybrid cloud adoption.

Therefore, CIOs need to make the most of cloud technologies by ensuring a successful cloud migration, which is only possible if the correct steps are taken at the right time.

To Know More, Read Full Article @ https://ai-techpark.com/connecting-dots-with-cios-cloud-computing-chronicles/

Read Related Articles:

Digital Patient Engagement Platforms

World of Computer Vision

The Unleashing the Power of Hybrid Cloud Computing

In the ever-evolving landscape of technology, the rise and implementation of hybrid cloud computing solutions have become pivotal in reshaping the future of IT infrastructure. As large-scale businesses strive to increase efficiency, reduce latency, and enhance stability, IT professionals adopt this dynamic technology. Cloud technologists believe hybrid clouds may be better for operational efficiency, security, faster application development, improved business insights, and better resiliency.

Let’s take a closer look by understanding the hybrid cloud with a few examples, its key benefits, and its importance in implementing a hybrid cloud in businesses.

What are Hybrid Cloud?

A hybrid cloud is an amalgamation of different cloud computing environments, like public cloud and private cloud infrastructure, which helps organizations compute, network, and store resources in various cloud worlds according to their needs. IT professionals define hybrid cloud computing as flexible as it helps businesses have the autonomy to choose where the data can reside based on performance, compliance requirements, and security.

Let’s take a look at a few examples of where hybrid cloud computing can be implemented:

Several examples emphasize the versatility of implementing hybrid cloud computing in business. For example, a healthcare organization can securely store its patient records and other confidential reports on its private cloud while using the public cloud for hosting websites. Similar to e-commerce companies, utilize a hybrid cloud model to handle peak traffic during holiday sales without compromising customer data security.

Furthermore, the adoption of a hybrid cloud model fosters innovation, which empowers organizations by leveraging legacy systems and modern technologies. Here are some best practices that will help businesses adopt this cloud model:

Best Practices for Hybrid Cloud Adoption

Comprehensive Cloud Strategy

Businesses should develop a comprehensive hybrid cloud strategy that aligns with their business objectives which encompass workload assessment, cloud provider selection, compliance measures, data management, and security protocols.

Robust Governance and Monitoring

Implementing robust governance frameworks and a continuous monitoring process is crucial, which includes tracking resource usage, ensuring compliance, managing costs, and enforcing security policies across all cloud environments.

Employee Training and Skill Development

The successful adoption of the hybrid cloud model requires a skilled workforce qualified to manage complex cloud infrastructure. So organizations should invest in training employees and enroll them in skill development programs to equip them with the necessary expertise in the hybrid cloud model.

To Know More, Read Full Article @ https://ai-techpark.com/power-of-hybrid-cloud-computing/

Read Related Articles:

Information Security and the C-suiteAutomated Driving Technologies Work

seers cmp badge