This has changed the way we interpret information by giving us a look into past insights but also to forecast future events, allowing us to make informed decisions.

Tableau 2021.2. includes ‘ask and explain data’ for viewers, allow connected desktops, Collections, and many more valuable features. Some of the key enhancements are listed below.

Collections provides a new format to organize content across your sites on both Tableau Online and Server into manageable folders. You may group item together from different projects and workbooks and you can reuse content in multiple contexts without additional storage or resources. Collections also makes it easier to share content around a central theme. For example, you can create a “Daily Sales” collection that includes dashboards with daily sales statistics, ETL data flow, data sources, etc.

Collections helps you congregate your data. You are given the leeway to create, explore and save your content privately. Another key feature of ‘Collections” is that users can create customized collections which are by default private. However, you are given the option to share the collection with any authorized users you choose to provide access to.

1) User Management Enhancement

In earlier versions, a subscribed user, deleted by an admin, was not erased from the system entirely. They were then classified as an 'unlicensed user'.

With version 2021.2, the subscribed creator will be deleted automatically when an admin deletes a user either via the UI or the REST API, without the extra step of reassigning the subscription ownership.

2) Ask Data Enhancements

Ask Data Lenses

A new feature introduced with this update is 'Ask Data Lenses'. It allows for easy data curation with defined columns and value synonyms and also provides suggested questions to allow for more inclusive data from a variety of sources.

(The update brings a new content type that is Ask Data Lenses, making it easy to curate data with the definition of column and value synonyms and suggested questions so you can better leverage existing published data sources.)

They are created alongside published data sources Ask Data use case(s) while maintaining the underlying data source as its own entity.

These 'lenses' are comparable to ‘views’. For those of you who are adept with SQL, where you can write selected statements specifically to extract the required columns, give definitions, whilst maintaining the integrity of the data source. Similarly, once created, ‘lenses’ can be accessed by viewers, opening Ask Data to a new class of users that struggle to self-serve their needs today.

Entity Search

Entity Search shows users search results of keywords, like the Google search box. Ask Data gives you word-by-word search results, giving you instant feedback on your data and what Ask Data can do. Ask Data will automatically choose the most relevant interpretation of your search and these search results help you build that input more effectively by selecting the right fields and values in the data set. Ask data learns from your selections to choose smarter defaults for future searches.

MFA allows users to easily add an additional layer of security to their accounts.

This feature unlocks the ability for Tableau Online customers who utilize native Tableau ID authentication to enforce multi-factor authentication (MFA) when their users sign into their sites. End-users can use applications like Salesforce Authenticator or Google Authenticator to perform additional verification of their identity when they log on to Tableau.

1. Snowpark Container Services:

This innovative feature allows you to deploy and manage containers directly within Snowflake. Imagine leveraging secure and scalable infrastructure, similar to Kubernetes, without leaving the Snowflake environment. Use containers to build and run data products like large language models and full-stack applications. You can even utilize containers from the Snowflake marketplace or create custom ones for sharing.

Getting started is simple. Create a Docker image with your code and dependencies, push it to a Snowflake registry, and then create a service, job, or function using the Snowpark API. Snowflake handles the rest, including provisioning, scaling, and monitoring your containers.

2. Snowpark Model Registry:

Data scientists and ML engineers require a secure and efficient way to manage and deploy machine learning models. Snowpark Model Registry, currently in public preview, addresses this need by providing a native solution within Snowflake. This integrated registry allows you to register, manage, and use models and their metadata directly in the platform.
The benefits of the Snowpark Model Registry are numerous:

3. Streamlit in Snowflake for Azure:

4. Security Enhancements in Snowflake Horizon:

Security is paramount for any data platform. Snowflake Horizon takes data security to the next level with a range of enhancements:

5. Snowflake Unistore:

Snowflake Unistore is a game-changer for working with both transactional and analytical data within a single platform, often referred to as Hybrid Transactional/Analytical Processing (HTAP). This feature introduces the 'hybrid' table type, supporting fast single-row operations.

Hybrid tables utilize a new row-oriented store within Snowflake, enabling functionalities typically associated with transactional data stores:

6. Snowflake Iceberg:

The Apache Iceberg format acts as a metadata layer for data files stored in open formats like Parquet and ORC. It enables querying this data using SQL, regardless of the specific query engine (Spark, Hive, Impala).

'Snowflake Iceberg' leverages this open format, allowing you to directly query data files stored in cloud storage services like S3 buckets. This eliminates the need to move or copy data into Snowflake while maintaining interoperability for users already working with that data location.

Snowflake Iceberg offers significant advantages over the existing external table type:

7. Document AI:

Typically, data systems struggle with unstructured data formats like PDFs. Snowflake's answer to this challenge is Document AI, a tool currently in private preview. It allows you to process any document and answer questions using natural language without requiring machine learning expertise.

Document AI draws power from Snowflake's first-party large language model (LLM) built on Applica's generative AI technology. This, combined with Snowflake's support for unstructured data (announced in June 2023), empowers you to store, query, and analyze all data types within the platform.

Document AI represents just one facet of Snowflake's vision for generative AI and LLMs, a dominant trend in 2023 that is poised to continue its dominance in 2024.

Looking Ahead

Snowflake started strongly in 2024 with exciting releases like Snowpark Model Registry, Streamlit in Snowflake for Azure, and security enhancements in Snowflake Horizon. These anticipated features position Snowflake as a frontrunner in the data cloud landscape, offering a comprehensive data management, analytics, and application development platform.

Beinex + Snowflake Partnership

Beinex is a Snowflake Services Partner Premier Tier, and the partnership reaffirms Beinex’s commitment to delivering exceptional data solutions and positions the company at the forefront of industry advancements. Harnessing the true potential of the data, partnership drives innovation and success in the digital era. Belonging to Snowflake Services Partner Premier Tier, Beinex leverages Snowflake’s advanced capabilities and seamlessly integrates them into its comprehensive data solutions.

Challenges in Data Governance

Organizations often face challenges aligning with business goals to ensure data quality, security, and visibility.  Alation's Data Catalog centralized data management and enhances accessibility, helping businesses address the data governance challenges by managing data in line with the policies and standards.  Some of the challenges in data governance are as follows: • Issues in Data Quality: This happens due to incorrect or insufficient data in the system, which can result in expensive errors and affect decision-making.  Enterprises must follow continuous monitoring to ensure high data quality and maintain trust in data assets. • Struggling with Data Silos: For effective data governance, organizations must break down data silos as the separate storing of data across departments could hinder data accessibility and sharing, resulting in inefficiencies. • Concerns about Compliance and Security: To avoid sensitive data breaches, organizations must comply with the regulations and standards and enforce strong security measures.  Ignoring the compliance requirements can result in reputational damage, legal consequences, and hefty penalties.

More About Data Catalog

A Data Catalog is a warehouse of data assets that improves comprehension, governance, discovery, use, and management of data. It helps unify extensive and intricate data ecosystems into a single hub and breaks down silos, leveraging data the right way. The centralized view of enterprise data assets provided by the data catalog allows leaders to effectively drive cross-collaboration and scale data usage. Despite being a data repository, a modern data catalog assists in making business processes more data-driven. From enhancing operational efficiency to boosting customer experience to making strategic decisions, a data catalog is equipped to make the most of the data. A data catalog facilitates business decisions by letting people locate, understand, and trust the required data. Some of the fundamental functionalities and features of a data catalog are as follows: • Managing metadata: Brings together metadata from diverse sources into a centralized platform and offers a comprehensive picture of data across your enterprise. • Automating data discovery and search: Employs advanced search capabilities (search by tags, keywords domains, natural language, etc.), AI, and ML to locate and access relevant data assets. • Ensuring data quality: Allows data customers to understand data quality and build trust in the data through documentation of quality regulations, displaying data quality metrics, and quality profiling. • Tracking data lineage: Tracks the data flow from its source to destination, mapping the critical data aspects throughout the organization during the transformation. It also includes metadata about the transformation and data assets, enabling impact analysis. • Fortifying data governance: Enables data classification to assign suitable policies for ensuring compliance with regulations.

How Alation's Data Catalog Strengthens Modern Data Governance

Companies with data catalogs are more likely to acquire and retain customers and achieve profitability than those that do not have one. The following aspects elaborate on how Alation unlocks smarter data governance with its data catalog. • Breaking down data silos and centralizing data access: The Alation Data Catalog helps businesses struggling with data silos by centralizing data access and enabling easy data discovery and retrieval from a unified platform. Centralizing facilitates collaboration between departments by eliminating barriers between them. The enhanced collaboration enables effortless sharing of data assets and insights, fostering better decision-making and collaboration. • Managing metadata: Metadata management is paramount to data governance. With Alation Data Catalog, users can access powerful metadata management capabilities to handle data regulations, relationships, and definitions effectively. It allows users to understand and gain trust and confidence in their data assets. With features like end-to-end data lineage, automated metadata harvesting, and policy enforcement, Alation ensures data accuracy, accessibility, and compliance. • Enhancing data quality through Data Profiling and Cleansing: Data quality stays crucial for any organization to ensure trustworthy analytics and reporting. The Alation Data Catalog's data profiling and cleansing tools help detect inconsistencies and inaccuracies in data, helping enterprises maintain high data quality standards. • Guaranteeing compliance and security: With the Alation Data Catalog, compliance, and security can be ensured by implementing access controls and permissions. It entails protecting sensitive and confidential information by enabling the restriction of data access based on roles.   • Fortifying data security: The comprehensive audit trails and monitoring offered by the Alation data catalog are important for data security as they facilitate tracking data usage and changes over time. It also helps identify possible breaches and unauthorized access, enhancing accountability and transparency across the enterprise. • Making progress through continuous monitoring: Conducting routine audits to evaluate compliance and data quality is vital for ensuring data governance remains effective and adaptive to the dynamic requirements. Alation Data Catalog's monitoring tools offer insights into the use of data and the likelihood of serious security breaches, enabling informed decisions about policy modifications. It is important for businesses to invest in training programs for data users as they help them understand the functions of data catalog and apply the best practices. With the Alation Data Catalog, businesses can promote collaboration and maintain data integrity and safety. Alation's holistic approach to data governance builds a trustworthy and accountable culture. The Alation Data Catalog functions as a powerful enabler, equipping enterprises to thrive in a data-driven world by streamlining complex governance tasks and promoting a culture of data literacy. In partnership with Alation, Beinex equips businesses with the support to fulfill data governance requirements while streamlining implementation and saving time. Connect with us for a demo: Beinex - Beinex: Your Trusted Alation Partner in Dubai, UAE, MEA, KSA & UK for Data Intelligence

AWS and Pay-as-you-go Model

AWS adopts a pay-as-you-go model for the majority of its cloud services. This means you pay only for the specific services you use, for the duration of your usage, and without the need for lengthy contracts or intricate licensing agreements. The pricing structure is akin to paying for utilities such as water and electricity – you are charged solely for the services consumed, and once you cease using them, no additional costs or termination fees apply.
The pay-as-you-go system with AWS ensures that you pay only for the resources your organisation utilises, promoting agility, responsiveness, and scalability. This approach allows you to effortlessly adjust to evolving business requirements without committing to fixed budgets, ultimately enhancing your ability to respond to changes promptly.
In essence, paying for services on a needed basis empowers your organisation to focus on growth and efficiency rather than getting bogged down by unnecessary expenses.
Let’s understand the key benefits AWS customers can reap from embracing AWS Cloud Infrastructure services, unlocking a world of possibilities for organisations seeking to transform their operations and drive unparalleled value.

AWS Economic Overview: Realizing Significant Savings

An economic analysis by the Enterprise Strategy Group highlights that migrating on-premises workloads to AWS results in substantial savings and benefits across various categories:

1. Cost Optimization and Improved Operational Efficiency
2. Faster Time to Value and Improved Business Agility
3. Reduced Risk to the Organization

1. Cost Optimization and Improved Operational Efficiency

By transitioning to AWS Cloud Infrastructure, organisations shed the complexity and burden associated with on-premises operations. This shift allows IT infrastructure teams to focus on business innovation rather than managing hardware, creating a ripple effect that enhances the efficiency of application, development, and data service teams. The move to AWS results in simplified administration, automated tasks, and substantial time savings, with reported efficiencies ranging from 60% to 70%.

AWS's commitment to delivering the best price-performance for many applications and workloads is evident in its continuous innovation. From the Nitro System and AWS Graviton processors to AWS Trainium and Inferentia accelerators, AWS has engineered custom silicon that optimises performance and efficiency, allowing organisations to achieve cost savings while enjoying top-notch performance.

AWS offers a transparent monthly billing model, shifting organisations from up-front capital investments to a more flexible and predictable cost structure. With tools like AWS Cost Explorer, customers gain visibility into resource utilisation and identify cost-saving opportunities. Flexible purchase models, including On-Demand Instances, Spot Instances, and Savings Plans, provide financial flexibility, enabling organisations to meet infrastructure needs while staying within budget constraints.

AWS-managed services not only free up internal teams from infrastructure maintenance but also allow them to scale operations using fully managed services. By reducing administrative burdens through offerings for monitoring, incident detection, security functions, and more, organisations can focus on delivering superior data services and business logic. The AWS Partner Network (APN) further enhances this capability, offering a global community of partners to collaborate with and derive greater business value.

As environmental, social, and governance goals take centre stage, organisations benefit from AWS's global infrastructure to lower their carbon footprint. Moving from on-premises to AWS Cloud Infrastructure can lead to a significant reduction in electricity consumption and associated costs. AWS's commitment to powering operations with renewable energy aligns with the sustainability goals of organisations, contributing to a greener and more responsible future.

2. Faster Time to Value and Enhanced Business Agility

Embracing change can be challenging for any IT organisation, particularly for large enterprises deeply invested in on-premises technology. Overcoming hurdles such as standardising organisational structures and adopting best practices adds complexity to the transition. However, AWS offers a compelling solution, guiding organisations seamlessly through the shift from on-premises environments to the cloud. This transition not only occurs swiftly and securely but also brings about a significant improvement in business agility, unlocking outcomes that were previously unattainable.

Transitioning on-premises workloads to AWS Cloud Infrastructure enables organisations to swiftly leverage modern end-to-end data architectures. This facilitates immediate benefits in storing, protecting, analysing, visualising, and extracting valuable insights from data. Remarkably, a customer successfully migrated their business applications to AWS in a single weekend, involving over 200,000 business customers and 400 internal users across three global locations.
AWS, as a cloud provider, offers a comprehensive range of services and features within those services, making the process faster, easier, safer, and more cost-effective. Whether rehosting workloads or relocating entire data centres, AWS empowers organisations to build virtually anything, providing confidence through proven phased methods, assessment tools, and mobilisation support.

AWS stands out by delivering unique capabilities and technologies that enable customers to experiment and innovate rapidly. The cloud infrastructure allows customers to benefit from continuous innovation in modern computing, networking, and storage technologies without needing on-premises forklift refreshes.
Technologies like the AWS Nitro System, Amazon FSx for Lustre, and various deployment options empower organisations to modernise applications, accelerate development, and explore edge computing solutions seamlessly. AWS connects containers and microservices with application-level networking, secure API gateways, and advanced tools for modernising or re-platforming applications.

The AWS Global Infrastructure facilitates secure, extensive, and reliable global cloud operations. Customers can seamlessly deliver data, applications, and services to regions worldwide while meeting SLAs. Leveraging AWS Direct Connect, customers can run applications using on-premises and cloud resources without compromising performance, ensuring private, secure connections bypassing the internet.
AWS tools and services enable the transformation, enrichment, and accessibility of data for diverse workloads such as AI, ML, HPC, and BI. Customers experience improved data-driven services, efficient access for remote workers through AWS Client VPN, and high-performance applications at the edge using CDN services like Amazon CloudFront.

AWS empowers organisations to scale computing, networking, and storage resources swiftly in response to changing business demands. With minimal planning, customers can provide additional resources in minutes, starkly contrasting the weeks or months required on-premises. Leveraging AWS Auto Scaling and intelligent optimisation tools, customers ensure predictable, steady performance while optimising costs.
Enhanced scalability allows for dynamic adjustments to resource capacity, saving developers significant time in manual infrastructure maintenance and scaling. Customers can precisely provision resources, proactively reducing infrastructure costs, and flexibly choose from 600 compute instances to meet workload requirements. This flexibility extends to running applications on VMs, containers, or serverless services, enabling deployment options across geographic regions, data centres, or at the edge.

Reduced Risk to the Organization

In prioritising security, AWS is a trusted partner for organisations, addressing concerns related to data protection, service interruptions, data corruption, compliance, and malicious intent. Security holds paramount importance in the design of the AWS Global Infrastructure, custom-built for the cloud and continuously monitored to ensure the confidentiality, integrity, and availability of customer data.

Protection at all levels, including physical security, infrastructure security, network backbone security, and data security. Rigorous access controls, encryption, retention, and auditing to meet compliance requirements. AWS’s commitment to ongoing investments in security technologies and operational best practices.

Security and compliance shared responsibility between AWS and the customer. AWS manages components from the host operating system to physical security, while customers handle the guest operating system, application software, and AWS security group firewall configuration.

AWS offers built-in security features at the chip level through the Nitro System, ensuring continuous monitoring and verification. Virtualisation resources are offloaded to dedicated hardware and software, minimising the attack surface. The security model of the Nitro System is locked down to prevent administrative access, reducing the risk of human error and tampering. AWS provides tools for data resiliency, including snapshots, versioning, and full backup and recovery solutions.

AWS customers have tools for securing access, including a centralised firewall, AWS Identity and Access Management, encryption features, and more. Features like Amazon S3 Object Lock, checksums, replication, and versioning ensure data integrity. Protection against exploits and DDoS events with AWS Web Application Firewall (WAF) and AWS Shield.

AWS customers receive tools and visibility to demonstrate compliance locally and regionally. AWS CloudTrail helps organisations avoid penalties for regulatory non-compliance.

Organisations retain control over data storage, security, and access. AWS ensures data remains within chosen AWS Regions and is committed to confidential computing. Specialised hardware and firmware protect customer code and data from external access.
Summing Up
Embracing AWS Cloud Infrastructure services is not just a technological upgrade; it's a strategic move that unleashes innovation, enhances efficiency, and aligns businesses with the future of digital transformation. The transformative journey with AWS goes beyond cost savings; it's about realizing the full potential of technology to drive growth, agility, and sustainability in an ever-changing landscape. As organisations navigate the complexities of the digital age, AWS stands as a trusted partner, offering a robust foundation for a future-ready enterprise.