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:
Snowflake's commitment to platform flexibility is evident in its expansion to Azure. The general availability of Streamlit in Snowflake for Azure empowers Python developers to create data applications directly within the Snowflake environment. Streamlit simplifies the creation of interactive dashboards and data visualizations, bridging the gap between data and actionable insights for business teams.Here's how Streamlit in Snowflake for Azure benefits users:
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:
These security enhancements within Snowflake Horizon empower organizations to meet stringent compliance requirements and safeguard their valuable data assets.
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:
Snowflake's global services layer and query engine seamlessly manage the underlying row and column stores, allowing you to join hybrid and standard tables natively.
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.
Snowflake's journey since its 2014 release as a "cloud data warehouse" has been nothing short of remarkable. It has continuously evolved, integrating functionalities from various systems into a unified platform. This transformation is evident in its current branding as a "cloud data platform" or the "data cloud."
A significant transformation kickstarted in Snowflake after the onset of 2024, with the introduction of features like full support for transactional workloads, advanced capabilities for Generative AI/LLMs (Large Language Models), and a fully containerized solution for app hosting. Let's delve into the most interesting and innovative features:

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

During the Alteryx Summit, ‘Your Road to Revenue’, Alteryx celebrated the achievements and commitment of their partners to the Alteryx business and its customers. Beinex Consulting was awarded on the level of engagement in the Alteryx partner program and its efforts around driving innovation, growing revenue, and empowering Alteryx customers to solve our world’s most pressing business and societal issues in the Middle East Region.
Selected among top Middle East Alteryx partners, Beinex demonstrated excellence in delivering end-to-end analytics transformation services that revolutionised multiple industries in the Middle East.
Beinex Consulting Founder and Managing Director, Indumon Das indicates further growth for the digital transformation organisation soon: “Beinex continues to make strategic investments to enhance our association with Alteryx and clients in major Middle East markets. This award is a recognition to our continuous growth strategy and focus to be the best Middle East partner”
“Through their ongoing pledge to the Alteryx Partner Program, our partners have demonstrated their commitment to helping Alteryx customers break down barriers and deliver game-changing insights.” – Josh Lewis, VP, Global Channels, Alteryx
About Beinex Consulting
Beinex is a digital transformation organization with a broad range of analytics modernization and training services. As a pioneer in analytics and cloud transformation, Beinex’s mission is to transform the way individuals and the organizations work with the data through innovation and experience. Beinex offers a broad range of robust and scalable business intelligence and analytics services to drive effective decision-making and create business value.

