Category: Computing & data (Page 69 of 92)

ThoughtSpot announced the release of ThoughtSpot Cloud, a fully-managed SaaS offering providing business users with the flexibility to glean instant insights from data in the cloud with search & AI-driven analytics. With ThoughtSpot Cloud, employees can access data across all of their cloud data in a matter of minutes, helping these organizations maximize their investments in cloud data warehouses like Amazon Redshift and Snowflake. Additional features include:

• Personalized onboarding: Specific onboarding flows by role tailor the experience for users, accelerating their time to value.
• Search assist: Digital assistant that provides a step by step guide for first time users to aid in their initial search.
• Prebuilt SpotApps: Reusable low-code templates to make getting insights from a particular application, like Salesforce, simple and scalable.
• In-database benefits: Run queries directly in both high-performance, zero-management, built-for-the-cloud data warehouses like Amazon Redshift and Snowflake.
• Pricing: Pay only for the data consumed and analyzed, not for the number of users.

https://www.thoughtspot.com/cloud

Cloudera announced enterprise data cloud services on Cloudera Data Platform (CDP): CDP Data Engineering; CDP Operational Database; and CDP Data Visualization. The new services are analytic experiences designed specifically for data specialists and include workflow automation, job prioritization, and performance tuning to help data engineers, data analysts, and data scientists. Data lifecycle integration is what enables data engineers, data analysts and data scientists to work on the same data securely and efficiently. CDP helps to improve individual data specialist productivity and data teams work better together through its hybrid data architecture that integrates analytic experiences across the data lifecycle and across public and private clouds.

CDP Data Engineering
CDP Data Engineering is an Apache Spark service on Kubernetes and includes productivity enhancing capabilities:

• Visual GUI-based monitoring, troubleshooting and performance tuning for faster debugging and problem resolution
• Native Apache Airflow and robust APIs for orchestrating and automating job scheduling and delivering complex data pipelines anywhere
• Resource isolation and centralized GUI-based job management
• CDP data lifecycle integration and SDX security and governance

CDP Operational Database
As businesses continue to generate large volumes of structured and unstructured data, developers are tasked with building applications that democratize data access, enable actions in real-time and are integral to business operations and revenue generation. CDP Operational Database is a high-performance NoSQL database service that provides scale and performance for business critical operational applications, offering:

• Evolutionary schema support to leverage data and allow changes to underlying data models without having to make changes to the application
• Auto-scaling based on the workload utilization of the cluster to optimize infrastructure utilization and cost
• Multi-modal client access with NoSQL key-value using HBase APIs and relational SQL with JDBC, making CDP Operational Database accessible to developers who are used to building applications that use MySQL, Postgres, etc.
• CDP data lifecycle integration and SDX security and governance

CDP Data Visualization
Business users need the ability to discover and curate their own visualizations from data and predictive models in a self-service manner. CDP Data Visualization simplifies the curation of rich, visual dashboards, reports and charts to provide agile analytical insight in the language of business:

• Technical teams can share analysis and machine learning models using drag and drop custom interactive applications.
• Business teams and decision makers can consume data insights to make more well-informed business decisions.
• All teams benefit from fast data exploration using AI-powered natural language search and visual recommendations.

Qlik announced enhancements to Insight Advisor, its AI assistant built into Qlik Sense, to deliver augmented intelligence capabilities for cloud analytics. Drawing on Qlik’s Associative Engine, combined with natural language processing (NLP) and cognitive technology. Users can interact with Insight Advisor in a variety of different ways, including search-based visual analysis (NLP-driven), conversational analytics (chat), associative insights to expose hidden data relationships, assistance with creation and data preparation, and advanced analytics calculation and integration. Updated features include:

• Insight Advisor Chat – A new, fully conversational analytics experience native to Qlik Sense SaaS, available in the Qlik Sense hub in multiple languages. Uses NLP and natural language generation to understand user intent and generate both narrative and visual responses.
• Business Logic – Ability to create business rules and metadata to customize and guide Insight Advisor’s behavior when generating insights and understanding natural language.
• Advanced Analytics Calculation – A new function, K-Means Clustering, allows data points to be grouped together based on similarity and is highly useful for customer segmentation, fraud detection and many other use cases. In addition, Insight Advisor will now auto-generate cluster and correlation charts in search-based visual analysis.
• Search-based Visual Analysis on Mobile – In addition to Chat, search-based insight generation is now available on handheld devices.

https://www.qlik.com/us/company/press-room/press-releases/qlik-expands-insight-advisor-to-deliver-robust-ai-driven-experience

DataStax announced the general availability of Storage-Attached Indexing (SAI) for Apache Cassandra available on Astra and DataStax Enterprise (DSE). DataStax has also opened a Cassandra Enhancement Proposal (CEP) with the Apache Cassandra project to share this with the open source community. With Storage-Attached Indexing, developers now have accessibility to familiar indexing and queries – such as WHERE clauses – in Apache Cassandra. Storage-Attached Indexing is an index implementation that enables users to index multiple columns on the same table without scaling issues. The benefits of Storage-Attached Indexing include:

• Improved stability
• Significantly reduces disk usage
• Improved numeric range performance
• Releases constraints to data modeling and barriers to scale-out
• Features modern and expected indexing features on Apache Cassandra

https://www.datastax.com/press-release/datastax-lowers-barriers-nosql-adoption-storage-attached-indexing-apache-cassandra