Amazon CloudFront Case Study: How It Transformed the Customer Experience of Zalando, a Prominent E-commerce Platform

Benefits: Enhanced Data Cloud Capabilities

The partnership will let Beinex turbocharge services on the AI-ML, analytics fronts by utilising storage and compute scalability unlocked by the unique collaboration. It awards Beinex and its clients the capability to flourish in terms of cost leadership, domain leadership and added utilisation of potential in sync with market conditions.

Data marketplace enhancement

The partnership also means that acquiring and testing third-party data is now easier which also entails the Snowflake users to imbibe the expanded third-party data into their environment, attach it to their first-party data and evaluate the data efficacy vis-à-vis customer experience along with the impact it can create.

There is little doubt that the capability is very much in demand as Beinex clients are into delivering powerful customer/ user experience as a part of their service efforts

Features:

• Privacy-safe
• Secure sharing platform
• No need to set up extra secure portals to support sharing of Personally Identifiable Information

UAE data residency requirements are also met thanks to the Snowflake domestic capacity.

The power of partnership

Beinex partnership with Snowflake enables it to offer clients advanced features like automated tuning and elastic compute with unlimited decoupled computing capability, along with the analytics modernization services, to help organisations realise exponential Return on Investment. This upgrade in status will take business to the next level for both Beinex and its esteemed client line-up.

Partnerships are what make Beinex stronger. The company has strong partnerships with some of the leading technology firms, research labs, and universities around the globe.

Businesses can leverage the power of our partner ecosystem to maximize the value of their end-to-end analytics journey.

Beinex is ecstatic to receive this recognition as a Snowflake select services tier partner and is grateful to Snowflake for acknowledging its client services.

Why Encryption is Important

Encryption is a security technique that converts data into a format that is unreadable by unauthorised individuals. It is particularly crucial when it comes to protecting sensitive information such as personal data, bank records, and trade secrets. By encrypting data, even if an attacker accesses it, they cannot read it without the correct decryption key.

AWS provides various encryption options to protect data:

1. Server-side Encryption
2. Client-side Encryption
3. Key Management

1. Server-Side Encryption

Data at rest can be encrypted in AWS by using server-side encryption. Server-side encryption is available for AWS services, including Amazon S3, Amazon EBS, Amazon RDS, and Amazon Redshift.

When you utilise server-side encryption, AWS encrypts the data before putting it on a disc. The security of your information is guaranteed because AWS also manages the encryption keys required to encrypt and decrypt data.

2. Client-side Encryption

Data can be encrypted on the client side before being uploaded to AWS. Client-side encryption adds a layer of security by allowing you to manage the encryption keys used to encrypt and decrypt your data.

Client-side encryption is available for AWS services, including Amazon S3, Amazon EBS, and Amazon RDS. Client-side encryption requires additional administration and security measures because it forces users to control the encryption keys directly.

3. Key Management

Key management is the process of generating, storing, and controlling encryption keys. AWS provides critical management services, including AWS CloudHSM and Key Management Service (KMS).

You can easily create and manage the encryption keys to secure data using AWS Key Management Service (KMS), a managed service. Some AWS services, such as Amazon S3, Amazon EBS, and Amazon RDS, are compatible with AWS KMS.

A hardware security module (HSM) called AWS CloudHSM offers secure key management and storage. AWS services, including Amazon S3, Amazon EBS, and Amazon RDS, can be used with AWS CloudHSM.

Best Practices for Protecting Data in AWS

Use these best measures to protect your data in AWS:

1. Encrypt sensitive data: Use either server-side or client-side encryption to encrypt all sensitive data. Robust encryption methods like Advanced Encryption Standard (AES) should exist with 256-bit keys. The Amazon Web Services (AWS) KMS service can generate and manage encryption keys.
2. Utilise AWS CloudHSM: For other key management and security, use AWS CloudHSM.
3. Set up multi-factor authentication: Multi-factor authentication adds security to AWS accounts and services (MFA).

Conclusion

Amazon Web Services (AWS) is a comprehensive cloud computing platform that enables millions of customers worldwide to deploy and scale their services on the cloud while enjoying cost savings upfront. Data security is a critical concern for any organisation, and AWS provides several services to help address this issue. Encryption plays a vital role in data protection, and it is essential to follow best practices to safeguard the security and safety of data on AWS.

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.

How Alteryx Designer Can Help You

A handy drag-and-drop, code-friendly tool, users of data analytics can easily extract, transform, and load data from virtually any source using Alteryx Designer. Using repeatable workflows, it facilitates predictive, statistical, and geospatial analysis, enabling the generation and sharing of insights within hours.

Key Features of Alteryx Designer

The platform is incredibly reliable and suitable for employing in almost any sector or industry. Major features of Alteryx Designer that you should be in the know of:

1. Go Code- free or Code- friendly
You can use a code-free or code-based interface regardless of your level of coding expertise. Use C++, Python, or R languages to write code in this interface.

2. Lesser Time, Greater Efficiency
Alteryx Designer rapidly extracts and integrates data from many sources producing faster insights that help to make smarter decisions.

3. Automated Workflows
It is possible to automate repetitive workflows or update them as needed to save time by enabling analytics scaling.

4. Easy Integration
Alteryx Designer provides a wide range of software for companies to select according to their requirements. It directly integrates with Alteryx Analytics Gallery, Alteryx Analytics Server, Alteryx Connect, and Alteryx Promote. Integration with R, Python, Tableau, Power BI, SAP, Sharepoint, Salesforce, Github, and Microsoft Azure tools is also made possible.

5. Spatial Analytics
Data analysis based on demographic, firmographic, and geospatial intelligence helps to produce insightful business decisions.

6. Predictive Analytics
Predictive analytics is provided across the entire analytics workflow, and by employing Alteryx Designer, accessing, preparing, and modelling data can be done in a single platform. Sharing the results can be done using the same.

7. Macro
A macro is a group of tools that help to save repeated analytic processes. It saves time by automating repetitive tasks.

8. Assisted Modelling
As a new feature in Alteryx Designer, it enables users to create ML pipelines and make predictions based on historical data.

9. Reporting
With the help of the user-friendly reporting tools in Alteryx, users can produce high-quality data-driven reports. The user can create top-notch reports with text, data, charts, maps, and images using various designs. A variety of output formats, including HTML, PDF, RTF, DOCX, XLSX, and PCXML, are supported by the reporting engine.

10. Alteryx Community
One of the main advantages is Alteryx community support. Let's say you cannot design a workflow or be unsure about how to perform some tasks. The Alteryx community will then be of great assistance to you in providing instant and informative replies.

11. Intelligence Suite
It is quite easy to extract concepts and insights from structured and unstructured data using Alteryx’s Intelligence Suite. Using the sentiment analysis tool, it is easier to identify the emotion hidden in the data and share the insights. The computer vision tool quickly processes huge data sets automatically, and it is possible to play with Data Science with automated Machine Learning tool.

Click here to Download Alteryx Designer Opting for a Free Trial

As a frequent user of Tableau Desktop and Server, check out my top picks from the list. • Improved dynamic parameter • Multiple marks layer support for maps • Block comments in calculations • Web authoring enhancements • Offline map support for Tableau Server • Tableau Server Management (TSM) improvements • Multiple key activation on Tableau Server prior to TSM initialization • Analytics Extension for Tableau Online • Merge duplicate external assets • Tableau Prep Builder in the browser Tableau Desktop Improved Dynamic Parameter The dynamic parameter was one of the features which I used extensively starting from 2020.1. The feature allows us to populate parameter values based on a specified field whenever the workbook is opened. We will be able to select only the field with matching data types. The feature update announced in Tableau 2020.4 gives me more privilege to customize the Dynamic Parameter. I can now set a parameter’s range to a field’s min and max value upon opening the workbook, or when the field’s data source is refreshed. So, whenever I open the workbook or the extract is refreshed, Tableau displays the unique values within the range specified, giving more control over the parameter values displayed. Multiple Marks Layer Support for Maps This is an exceptional feature to bring multiple spatial layers and context together to better understand and analyze geospatial data and map views. I will be able to include multiple marks layers from a data source to map visualizations and enhance the geospatial analysis. I can present more context in a single map view and perform further analysis with this feature. Block Comments in Calculations Block comments is a simple yet one of the most useful features for me, which Tableau has announced in 2020.4. I often used to add comments in complex calculations for easy understanding in future references. Earlier, only single-line comments were possible, limiting the description I could add. But from now on, I can add comments of any length to calculation windows with block comments by simply starting the comment with /* and ending with */. What makes it unique is that the new multi-line block comment feature is consistent with other popular programming languages. This feature is an example of Tableau’s on-going effort to provide its customers with an intuitive user experience. Tableau Server Web Authoring Enhancements Starting from Tableau 2020.4, it is possible to author dashboards from the browser just like how we design it in Tableau Desktop. With this web authoring enhancements, I can include Highlight actions, Format Mark Labels, apply filters to worksheets, create fixed sets, and even create extract in my workbooks from the browser itself. I no longer have to make changes from Tableau Desktop and publish it to the server. I can directly do it from the browser itself. Offline Map Support for Tableau Server Rendering dashboards with maps is now faster compared to previous versions. Now, I can create maps using the offline map style in web authoring, ensuring the performance of map views in Tableau Server. Offline map support is a great deal for organizations with strict internet access restrictions, assuring that map view access to all its users. Tableau Server Management (TSM) Improvements Tableau Server Administration activities like installation, upgrade and backup are now easy like never before. I can retry installation or upgrade from the last checkpoint in case of an unexpected issue or error during installation or upgrade, saving my efforts to obliterate tableau server. Backups can be performed twice as fast as previous versions, and I can monitor the progress with the new progress bar giving visibility into what step the backup is on and how much time is remaining. Backups can also be scheduled using TSM command starting from 2020.4 and that is awesome. I no longer need to prepare batch script and depend on the windows task scheduler to schedule the backups on regular intervals; instead, I can schedule it with just a single command. Multiple Key Activation on Tableau Server Prior to TSM Initialization During Tableau Server installation, it is now possible to activate multiple license keys prior to TSM initialization. I will be able to save a lot of time by eliminating the need to restart after the installation is completed to activate multiple licenses and experience a smoother installation. Analytics Extension for Tableau Online The power of the Analytics extension is now unlocked in Tableau Online too. The feature was already available in Tableau Server, and it helped us dynamically perform advanced analysis with models and functions in R, Python and other platforms. Analytics extension in Tableau Online significantly enhances the scope of using Advanced Analytics by the common users. Merge Duplicate External Assets Earlier, the Database or Table with similar names used to appear as multiple assets within Tableau Catalog. But, the new feature helps me to merge those multiple assets into a single one. I can manage assets easily and keep an organized view of External assets by merging the common ones. Tableau Prep Tableau Prep Builder in the Browser Prepare the data for visualizations from anywhere using a browser! Starting from 2020.4, Tableau is bringing the data prep process into one integrated platform on the web. Now I can easily prepare and manage prep flows from anywhere using a browser. Conclusion Tableau is progressively evolving as a single platform for data preparations, visualization, and collaboration with every update and version release. Author : Firdous Maqbool Images Courtesy : Tableau