Snowflake announced new features to enable Snowflake customers to work with more types of data, have a more powerful developer experience, deliver more control over data, and access data services within the Data Cloud. Features include:
Unstructured Data – In addition to structured and semi-structured data, Snowflake announced support for unstructured data such as audio, video, pdfs, imaging data and more – which will provide the ability to orchestrate pipeline executions of that data. Unstructured data management in Snowflake means customers will be able to avoid accessing and managing multiple systems, deploy fine-grained governance over unstructured files and metadata, and gain more complete insights. This feature is currently in private preview.
Snowpark – A new developer experience that will allow data engineers, data scientists, and developers to write code in their languages of choice, using familiar programming concepts, and then execute workloads such as ETL/ELT, data preparation, and feature engineering on Snowflake. Snowpark is currently available in testing environments only.
Data Services on Snowflake Data Marketplace – Snowflake Data Marketplace enables any Snowflake customer to discover and access live, ready-to-query, third-party data sets from more than 100 data providers, without needing to copy files or move the data. Now the marketplace also features data service providers.
Row Access Policies – Customers will be able to advance their data governance across all data objects and workloads in Snowflake. Row access policies will give Snowflake customers the ability to create policies for restricting returned result sets when queries are executed. Row access policies are designed to mitigate risk, improve governance, and help organizations better adhere to regional and industry-specific data privacy regulations. Snowflake’s row access policies feature is expected to be in private preview later this year.
Dropbox, Inc. unveiled the next iteration of its collaborative workspace, Dropbox Spaces, and several new features that help teams get organized, and collaborate from anywhere. Dropbox Spaces 2.0 is now a standalone product that enables teams to collaborate with internal and external collaborators on projects—from kickoff to delivery. Spaces brings collaboration features from across Dropbox into a single surface to help teams manage projects together. These include:
- Project Spaces: Create a project Space to bring the internal team, external clients, content, timeline, and project tasks all into one organized place. It provides an intuitive surface for the project, so teams can contribute and collaborate together as they move the project forward.
- Tasks: Prioritize what needs to be done and keep projects on track. Create, manage, assign, and comment on tasks across multiple projects. Attach project files to relevant tasks and manage personal to-do lists.
- Content: Find, add, and manage relevant project information. Users can easily add files (including traditional file types and cloud content, like Google Docs) directly to Spaces, and search for files across projects.
- Meetings: Easily join, organize, and follow up on meetings from Spaces. Centralize important information like agendas, action items, and attendees in customizable meeting templates and embed meeting docs directly in a project Space. Automatically sync meeting docs to calendar invites so everyone stays on the same page.
- Updates: Stay up to date with a shared team view of work in progress and project updates. Attach files to posts in the updates feed, respond to comments with text, an emoji, or link to a file.
Dropbox is extending availability of several features to Dropbox Business users. These include:
- App Center: 30+ new apps added to the Dropbox App Center to help teams discover and connect to more than 70 tools from Dropbox partners
- Branded sharing: New enhancements make it easier for businesses to establish their brands, and for admins to enable team individuals to customize their branding
- Traffic and insights: Helps users track engagement when sharing assets
- Follow: Helps users stay informed about activity on their most important shared folders
- Dropbox Passwords Beta: Allows team members to store passwords in one secure place, sync across devices, and access from anywhere
For more features, details and availability see
Stardog announced Stardog Cloud, cloud-native Enterprise Knowledge Graph Platform. Stardog Cloud connects data in every cloud as well as on-premise environments. Deployed as a managed service, Stardog Cloud transforms existing enterprise data infrastructure into a comprehensive data fabric and answers complex queries across data silos, unifies data across the enterprise ecosystem based on its meaning, and context to create a connected network of knowledge. Highlights of Stardog include:
- Data Virtualization: Allows organizations to leave data within existing data sources and silos and query it where it lives – whether on-premise or in the cloud – and perform complex queries across silos.
- Semantic Models: Rationalizes the meaning between legacy applications on-premise, and new remote, cloud or on-premise applications in a flexible scalable way. Seamlessly supports multiple apps and data models in order to bring context to data and support better decision-making.
- Inference Engine: Connects data without having to rely only on explicit key matching. Leverages machine learning and inferencing regardless of the data domain or subject area and then uses this rich web of information to discover new relationships.
SnapLogic, provider of the Intelligent Integration Platform, announced that it now supports SaaS contracts in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS). SnapLogic’s Intelligent Integration Platform uses AI workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. With availability in AWS Marketplace, customers can now leverage SnapLogic’s self-service interface to give both expert and citizen integrators the ability to manage all their application and data integration projects on a single, scalable platform. With SnapLogic, organizations can move data from hundreds of apps and data sources into Amazon Redshift with just a few clicks. Fast integration and accurate analysis are critical elements of digital transformation success. Customers also benefit from a simplified software procurement experience by leveraging their existing payment terms with AWS, and get consolidated billing for all of their AWS services, software, and SaaS product usage. SnapLogic is an AWS Advanced Technology Partner that has achieved AWS Data and Analytics Competency status as well as Amazon Redshift Ready designation.
Expert.ai is launching two products at this week’s KMWorld & Text Analytics Forum Connect 2020: expert.ai Studio, an intelliJ plug-in for simplifying natural language processing applications (NLP) development, and expert.ai Edge NL API for enabling seamless artificial intelligence (AI) deployment on premise or on a private cloud.
Expert.ai Studio leverages expert.ai natural language understanding (NLU) abilities to streamline the development of NLP applications. Users can take advantage of core AI features for categorization, extraction, and sentiment analysis to build language based custom applications. With the out-of the-box expert.ai knowledge graph, developers and data scientists can reduce development time and training costs while gaining precise comprehension of their content so that it can be used more efficiently and at scale to support business operations. Expert.ai Studio provides a friendly dashboard to support advanced testing through a rich set of metrics that provides input to reach a high level of accuracy.
Expert.ai Edge NL API enables developers and data scientists to run NLP applications built with expert.ai Studio locally or on their private cloud as well as apply expert.ai capabilities to other information-intensive applications or integrate them in any pre-existing workflow, database or legacy product. Expert.ai Studio and Edge API are free, and come with sample projects and software development kits (SDKs) to help developers get started.