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The Top 11 Cloud Computing Trends to Look Out for in 2023
3 February 2023 
Sumi S What could be the Cloud computing trends to look forward to in 2023? Let’s have a look
- Utilising Edge Computing
- AI and ML Services
- Disaster Recovery
- Multi and Hybrid Cloud Solution
- Cloud Security and Resilience
- Cloud Gaming
- Kubernetes and Docker
- Serverless Computing
- Blockchain
- Metaverse
- IoT
Let’s deep-dive:
1. Utilising Edge Computing
In the world of cloud computing, edge computing is one of the most popular trends. Here, data is evaluated geographically nearer to its source and stored and processed at the network's edge. As modern internet technologies emerged, the internet speed has helped in reducing latency, technologies such as 5G is used more frequently, and processing can be done swiftly. Greater privacy, quicker data transmission, security, and improved efficiency are just a few of the primary advantages of edge computing. Edge computing is expected to be at the core of every cloud strategy in 2023, making it the most important development in this area.
2. AI and ML Services
Two technologies that are closely related to cloud computing are artificial intelligence and machine learning. Due to the volume of data processed for the machine to learn patterns, this area demands faster processing and abundant storage requirements for training algorithms and data collection respectively. Due to the availability of virtually infinite computational capability, on-cloud AI and ML services are more cost-effective on the cloud. Cloud computing is used for handling enormous amounts of data to raise productivity at tech firms. Increased self-learning and automation capabilities, improved data security, and more individualised cloud experiences are the main trends that are most likely to arise in this fiel
3. Disaster Recovery
The ability to have a DR site in a geographically remote area helps to quickly restore vital services in the event of a natural or man-made disaster. It describes the process of employing cloud-based resources to recover from a disaster in the event such as power outages, data loss, or device failure/problems.
4. Multi and Hybrid Cloud Solution
Many businesses have embraced a multi-cloud and hybrid IT approach that mixes legacy platforms, on-premises, dedicated private clouds, and several public clouds. They provide a mix of public and private clouds tailored to the requirements of particular firms where several business drivers matter for instance like those of insurance, banks, etc. Multi-cloud and hybrid cloud solutions will thus be among the most popular cloud computing trends in 2023 and the years to come.
5. Cloud Security and Resilience
When companies shift to the cloud, there are still several security vulnerabilities. Investment in cyber security and building resilience against everything from data theft to the consequences of a pandemic to global trade will become more crucial and major variables in the coming years. The use of managed "security-as-a-service" providers, AI, and predictive technologies will increase in 2023 as a result of this trend to identify risks before they result in problems. Studies say that leading vendors of cloud computing invest over a billion dollars every year to protect their customers’ data.
6. Cloud Gaming
Cloud gaming platforms operate similarly to remote desktops and video-on-demand services; games are stored and executed remotely on a provider's dedicated hardware and streamed as video to a player's device via client software. It can be advantageous as it eliminates the need to purchase expensive computer hardware or install games directly onto a local game system. Cloud gaming can be made available on a wide range of computing devices, including mobile devices such as smartphones and tablets, digital media players, or proprietary thin client-like devices. Microsoft, Sony, Nvidia, and Amazon all offer video game services. But video game streaming requires more data and is only doable with fast internet. With the launch of 5G in 2023, the cloud gaming sector will grow significantly.
7. Kubernetes and Docker
The main trend is the growing use of container orchestration tools like Kubernetes and Docker. Large-scale deployments that are extremely scalable and effective are made possible by this technology. These are expandable, open-source platforms that manage services and workloads from a central location while running applications from a single source. Both platforms offer high scalability and efficiency. Over the following several years, Kubernetes and Docker will continue to play a significant role in cloud computing trends as they are developing quickly.
8. Serverless Computing
Because of the advent of the sharing economy, serverless computing entered the computing sector. Instead of being deployed on physical servers in this case, compute resources are offered as a service. This indicates that instead of needing to maintain its servers, the company only pays for the resources it uses. Additionally, serverless cloud solutions are growing in popularity because of how simple they are to use and how rapidly one can design, deploy, and expand a cloud solution. Overall, this technology is a trend that is just starting and is becoming more and more popular.
9. Blockchain
Blockchain, which users continue to follow more and more, is a connected list of blocks containing records. Blocks of data are stored using cryptography. It has outstanding decentralisation, security, and transparency. In conjunction with the cloud, it is currently utilised more frequently. It can securely and affordably process enormous volumes of data and regulate documents. For many industrial applications, the new technology is beginning to hold out a great deal of promise.
10. Metaverse
The days are not long for the Metaverse and cloud computing to become inextricably linked to each other. The metaverse will compel businesses to migrate to cloud infrastructures to host their virtual worlds. Massive amounts of workloads will be migrated, paving the path for even more innovations to model their virtual worlds. Considering the difficulties of building a metaverse without highly available and scalable premises and hosting grounds, the adoption of cloud computing will be inevitable. As more layers of complexity will be added to the metaverse as it matures, the need for a strong foundation to support the whole thing and to deliver a flawless user experience with no backend issues will arise. Consequently, cloud providers engaged in the metaverse will create metaverse-compatible solutions to assist businesses in quickly establishing their virtual space.
11. IoT
In the realm of cloud computing, IoT is a well-known trend. Connectivity between computers, servers, and networks is maintained by this technology. It performs the role of a middleman, guarantees effective communication, and helps gather data from distant devices. Due to the enormous data produced by IoT devices, it requires many terabytes of storage. Since the cloud, the storage of data has become cheaper. In recent years storing and processing machine-generated data has become relatively easier. In the coming years, businesses would be able to efficiently analyse data from IoT devices and make informed decisions.
Summing Up
Even though cloud computing has been present for more than a decade, its popularity has skyrocketed in recent years. Given this growth trajectory, cloud computing is on track to become the most discussed technology in 2023. Recent studies show that by 2028, the cloud computing market is anticipated to be worth more than $1 trillion. Being the game changer, its impact will grow along with the adoption in the coming years too.
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Cloud computing has emerged as an inevitable tool for the business realm as a practical method for storing and sharing data. It is prevalent in fields including corporate operations, system infrastructure, and application and infrastructure software. To provide accelerated innovation, adaptable resources, and scale economies, cloud computing makes computer system resources and services, including servers, storage, databases, networking, software, analytics, and intelligence, available on-demand and delivered over the internet. Every business that wants to cut costs, maintain business continuity, and increase future scalability has ardently adopted it.
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Explore the Latest Advancements in AWS Storage Solutions
AWS Storage Solutions
AWS offers a comprehensive array of storage solutions tailored to specific use cases and demands. These include Amazon S3, Amazon EBS, Amazon EFS, Amazon Glacier, AWS Storage Gateway, Amazon FSx, and the AWS Snow Family. Each service is designed to address storage needs, from simple data storage to high-performance file systems and large-scale data transfer.
Here are some of the key storage solutions provided by AWS: Amazon S3 (Simple Storage Service):Latest Developments in AWS Storage Services
Over the past two quarters, AWS has introduced several exciting enhancements to its storage services, offering users greater flexibility and efficiency in managing their data. Let's delve into these notable updates:
AWS Backup's Local Time Zone Support
AWS Backup is a fully managed service that simplifies data protection across AWS services and hybrid workloads. The latest enhancement allows users to select their local time zone when creating or modifying backup plans. This eliminates the need for manual time zone conversions from UTC, making backup scheduling more user-friendly and convenient.
Amazon S3's Multivalue Answer for DNS Queries
Amazon S3 now offers Multivalue Answer (MVA) support for responding to DNS queries for S3 endpoints. With MVA, users can obtain up to eight S3 IP addresses per DNS query. This feature enables the automatic establishment of multiple concurrent connections to S3, potentially boosting throughput significantly. Moreover, MVA enhances retry operation efficiency by allowing applications to automatically attempt an alternative IP address without waiting for another DNS query. These improvements give users more robust and efficient access to Amazon S3 services.
General Availability of Mountpoint for Amazon S3
AWS has announced the general availability of Mountpoint for Amazon S3, an open-source file client that offers high-throughput access to Amazon Simple Storage Service (Amazon S3). This innovation reduces processing times and compute costs for data lake applications. Mountpoint for Amazon S3 acts as a file client that translates local file system API calls into S3 object API calls, including GET and PUT operations.
This feature is particularly valuable for workloads involving reading large datasets, ranging from terabytes to petabytes in size, and requiring the scalability and high throughput offered by Amazon S3. Use cases include machine learning training, reprocessing, autonomous vehicle data processing validation, and more. It supports sequential and random read operations on existing files and sequential write operations for creating new files. These capabilities enhance the efficiency of processing large-scale data stored in Amazon S3, making it a valuable tool for data-intensive applications.
Amazon S3 Glacier Flexible Retrieval Enhancements
Amazon S3 Glacier Flexible Retrieval has significantly improved data restore times, reducing them by up to 85%, and this improvement comes at no additional cost. These faster data restores are automatically applied to the Standard retrieval tier when Amazon S3 Batch Operations are used. Objects begin to be returned within minutes of initiating the restore process, facilitating quicker processing of restored data.
This enhancement benefits various tasks, such as transcoding media, restoring operational backups, training machine learning models, and analysing historical data. Leveraging S3 Batch Operations, archived data can be efficiently restored on a large scale by showing the objects to be retrieved and specifying the retrieval tier. The Standard retrieval tier now initiates restoring things within minutes, a substantial improvement compared to the previous 3–5 hour wait time. Overall restore throughput is also enhanced, thanks to new performance optimisations, enabling faster data workflows and quicker responses to business requirements.
AWS Backup Audit Manager's Delegated Backup Administrator Support
With AWS Organizations, the delegation of backup management has been expanded beyond the management account to dedicated administration accounts. This means that delegated administrators can now assume backup management responsibilities. As part of this launch, delegated backup administrators can centralise report generation and management on a large scale through AWS Backup Audit Manager. This feature is designed for auditing and reporting on data protection posture compliance.
Project Quotas Support in Amazon FSx for Lustre
Amazon FSx for Lustre, a fully managed service for high-performance file systems, now supports project quotas. This update allows users to easily group multiple files or directories within the file system into distinct projects and monitor storage usage per-project basis. Project quotas are particularly valuable for storage administrators responsible for managing file systems serving multiple projects or teams. This feature ensures no project exceeds its designated storage capacity, helping maintain effective resource allocation and control within the file system.
Beinex+ AWS Offerings
Beinex is an AWS consulting partner, and we empower customers to host their BI solutions and much more on the cloud. Our cloud migration experts bring in best-in-class stability and reliability by understanding your business strategy and working closely with you to deploy AWS infrastructure as a service.
AWS's commitment to innovation ensures that its storage solutions will remain at the forefront of the industry, providing users with the cutting-edge tools and capabilities required to thrive in the digital age. Embrace AWS storage solutions' possibilities and stay ahead in your data management endeavours.
Coming Soon: Tableau 2022.1 – What Does It Offer New
- List the unused data sources: Data sources imported in a workbook but not used are highlighted by the new feature. The developer can remove these data sources from the data source list to make the workbook faster.
- List of unused fields or data columns: Just like the data sources, workbook optimizer also highlights the data columns not used across the workbook. Removing these at the data source level can help improve the overall performance of the workbook.
- List of sheets not used in the dashboard: It is a common practise that developers tend to create sheets not used in the final dashboard. This creates unnecessary clutter and makes the dashboard slower. The workbook optimiser feature gives a list of such sheets which the user can delete to optimise the performance of the workbook further.
- Highlights lengthy calculations: The feature provides a list of calculations which are too complex and in turn reduce the performance of the dashboard. Simplifying a few of these can improve performance to a great extent.
Ask Data Phrase Builder: This feature is available on Tableau Server and Tableau Online
Add field would look like as shown in the below screenshot:
Customize View Data: This feature is available on Tableau Server, Desktop and Tableau Online
This feature enables to reshape the tabular data behind your visualisation in the View data interface. One can create new columns, remove columns from the default view, change the order and sort the data using this feature. This reshaped data can also be exported as csv file to be shared with the team.
Change the root table: This feature is available on Tableau Server, Desktop and Tableau Online
Managing multiple data tables becomes easier and flexible with this new feature. One can swap any table to be the root table with a single click. This allows one to change the layout of the table quickly, reshape the data with a different root table and delete a specific table without deleting child nodes. For e.g., let us assume a user had to create a data source for an analysis using 3 tables namely ‘customers’, ‘orders’ and ‘returns’. The user creates the data model such that ‘customers’ is the root table followed by ‘orders’ and ‘returns’. But after performing some analysis the user realises that ‘orders’ should be the main root table. In such cases the user would have to re-create the data again from scratch but with the new ‘Swap with root table’ feature user can do the changes with a few clicks.
Parameter Enhancements in Tableau Prep
In version 2022.1 Tableau Prep is adding even more places where one can use parameters in the flow as well as user enhancements. Now, one can:
- Get a list of all the parameters in one place rather than finding them in the flow. One can delete these parameters directly from the parameter window rather than to find it in the flow first.
- Include parameter names in exported output files.
- Include parameters in SQL scripts that you run before or after writing the flow output to a database. Include parameters in worksheet names when writing the flow output to Microsoft Excel.
- 1. Improvements in Esri Data Connector
- 2. Addition of new Accelerators
- 3. Added connectors to connect to more data sources
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An Ultimate Guide to All the Tableau Certifications
Top 4 Benefits of Tableau Certification
Tableau certification offers numerous benefits. It is a valuable investment for professionals looking to excel in the field of data visualisation and analysis.
Here are the four ways Tableau certification can help you:
Let’s deep-dive:
1. Enhanced Professional Credibility
Achieving Tableau certification demonstrates your expertise and proficiency in using the Tableau platform. It enhances your professional credibility and sets you apart from others in the BI realm. Employers and clients value certified professionals as they have proven their competence in leveraging Tableau for data visualisation and analysis.
2. Expanded Career Opportunities
Tableau certification opens doors to a wide range of career opportunities. Many organisations seek professionals with Tableau skills to help them effectively analyse and visualise their data.
With Tableau certification, you become a desirable candidate for job roles such as:
3. Improved Skills and Knowledge
The process of preparing for Tableau certification equips you with in-depth knowledge of Tableau's features, functionalities, and best practices. You gain hands-on experience in creating interactive dashboards, working with various data sources, and leveraging advanced analytics capabilities. This knowledge enhances your ability to leverage Tableau effectively in real-world scenarios.
4. Increased Efficiency and Productivity
Tableau certification equips you with the skills to efficiently utilise Tableau's tools and techniques. You learn how to quickly analyse and visualise data, identify insights, and communicate findings effectively. This improves your productivity, allowing you to quickly deliver impactful data visualisations and insights.
List of Tableau Certifications
By pursuing Tableau certifications, individuals can showcase their proficiency and specialisation in various Tableau-related roles, from desktop usage to server administration, data analysis, consulting, and architecture. Each Tableau certification offers a unique opportunity to advance one's career and make significant contributions in the field of data visualisation and analytics using Tableau.
Tableau offers five certifications:- Tableau Desktop Specialist Certification
- Tableau Server Certified Associate Certification
- Tableau Certified Data Analyst Certification
- Tableau Consultant Certification
- Tableau Architect Certification
Let's dive deep into more details:
1. Tableau Desktop Specialist Certification: This certification validates foundational knowledge and skills in using Tableau Desktop. It demonstrates proficiency in tasks such as connecting to data sources, creating basic visualisations, and implementing best data organisation and formatting practices.
2. Tableau Server Certified Associate Certification: It focuses on Tableau Server, a platform for publishing, sharing, and collaborating on Tableau visualisations. It confirms expertise in tasks like managing user access, publishing dashboards, and administering Tableau Server to ensure optimal performance and security.
3. Tableau Certified Data Analyst Certification: It is designed for individuals specialising in data analysis using Tableau. It certifies advanced skills in data exploration, applying statistical techniques, and creating insightful visualisations to uncover valuable insights and drive data-driven decision-making.
Popular Tableau Partner Certifications
1. Tableau Consultant Certification: The Tableau Consultant certification is for professionals who provide consulting services and guidance on Tableau implementation and utilisation. It demonstrates expertise in understanding business requirements, designing compelling data visualisations, and offering strategic recommendations to optimise Tableau deployments.
2. Tableau Architect Certification: The Tableau Architect certification is aimed at individuals responsible for designing and architecting Tableau solutions for organisations. It validates skills in data modelling, performance optimisation, and scalable Tableau infrastructure design to ensure efficient and robust implementations.
Tableau Certification Cost
Source: Tableau
List of Job roles for Tableau Professionals
- Tableau Consultant
- Data Analyst
- Business Analyst
- Business Intelligence Analyst
- Business Intelligence Developer
- Business Intelligence Manager
Why Beinex
If you are searching for the right place to start your Tableau training, Beinex can be your perfect choice. Our globally trained subject matter experts can assist you in catering customised training that suits your schedule. So, wait not! Get in touch with us!
Cohort Retention Analysis in Tableau
To start, access the Superstore Dataset, available for download on Kaggle. Use Tableau Public to connect to this dataset and explore the rows and columns to understand the documented data related to the Superstore. This exploration sets the stage for the subsequent cohort retention analysis.
Move over to the Sheet 1 tab; this will serve as your dedicated workspace where you'll craft your visualizations. This area will be your canvas to build and design the subsequent analyses and visual representations.
To perform cohort analysis effectively, specific data points are necessary:
Unique Identifier: Utilize the Customer ID as the unique identifier for each customer.
First Purchase Date: This marks the date when a customer made their initial purchase, a pivotal point for creating cohort groups.
Revenue Data: Information regarding the financial aspect of each transaction.
Creating Calculated Fields
One crucial calculated field needed is the "Customers’ First Purchase Date (quarter)." Since the dataset doesn't contain the first purchase date field, a calculated field is essential. This field is derived from computations based on existing data in the dataset, enabling the identification of when each customer made their initial purchase. Calculated fields are instrumental in manipulating and analyzing data by performing calculations based on existing dataset information.
To create quarter and year cohorts based on the customers' first purchase date:
Defining Cohorts: In this dataset spanning four years (2014–2017), cohorts will be based on the quarter and year when customers made their initial purchase. This approach ensures a manageable cohort table for analysis.Calculation for Quarter Identification: The calculation to establish the quarter in which a customer made their first purchase involves determining the quarter and year from the purchase date.
This calculation utilizes the 'DATETRUNC' function to extract the quarter from the 'First Purchase Date' field, aligning customers based on the quarter they made their initial purchase.
Flexibility in Cohort Creation: While quarters and years are chosen for cohort segmentation in this scenario, other time parameters like days, weeks, or months could also be used for cohort creation, depending on the dataset and analytical objectives. However, for this particular dataset, quarters and years were deemed more practical for effective analysis.
Assembling the cohort retention table involves using the calculated fields previously created to form a comprehensive table that illustrates cohort-based metrics, particularly the number of unique customers per first quarter and the retention rate.
Here's how to assemble the cohort table:
This formula divides the count of unique customers by the total number of customers from the first quarter, providing the retention rate for each subsequent period.
This table allows for a clear visualization of how customer retention varies across different cohorts over subsequent periods, providing insights into the effectiveness of retaining customers acquired in specific quarters.
This step-by-step guide is incredibly detailed for constructing the cohort table in Tableau. It breaks down the process systematically, ensuring proper visualization of the cohort analysis.
Interpreting the retention rates from this table involves examining both the rows and columns:
Rows (First and Second Columns): Here, you'll find different year and quarter groups representing cohorts, along with the count of customers who made their first purchase in each respective period.Columns (Third Column): As you move across the table, you'll encounter the percentages indicating how many customers continued making purchases at the Superstore across subsequent quarters after their initial purchase.
For instance, if 160 customers made their first purchase in 2014 Q2, you'd observe that 24.4% returned to make purchases in 2014 Q3, and 36.3% made purchases in 2014 Q4. This trend continues across the subsequent periods.
In conclusion, creating calculated fields is an essential part of conducting cohort analysis in Tableau. It involves utilizing functions effectively. If you're new to Tableau functions, exploring articles or resources on Tableau functions could fill any knowledge gaps and provide a deeper understanding of their usage in data analysis and visualization. The provided Tableau article on functions might be particularly helpful for a more comprehensive understanding.