article thumbnail

Spotter: Your AI Analyst

ThoughtSpot

You dont have to go to an analyst or kick off a BI project; Spotter turns a 6-week BI project into a one-minute discovery session. Analytics architecture: ThoughtSpots AI-native architecture and advanced semantic model augment LLM reasoning, using search tokens to improve text-to-SQL accuracy and provide greater transparency.

BI 59
article thumbnail

Beyond Kafka: Conversation with Jark Wu on Fluss - Streaming Storage for Real-Time Analytics

Data Engineering Weekly

Kafka is designed for streaming events, but Fluss is designed for streaming analytics. Architecture Difference The first difference is the Data Model. Fluss in the architecture can augment the existing Lakehouse with mill-second-level fresh data insights. Pinot provides SQL for OLAP queries and BI tool integrations.

Kafka 73
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

2024 Gartner Magic Quadrant: ThoughtSpot leads with GenAI

ThoughtSpot

The 2024 Gartner® Magic Quadrant™ for Analytics and BI Platforms just dropped, and we’re thrilled to announce that ThoughtSpot was recognized as a Leader in the report. The analytics and BI space has undergone some of the most significant shifts in over a decade, an aftershock of generative AI.

BI 59
article thumbnail

Azure Data Engineer Interview Questions -Edureka

Edureka

Azure Synapse is a boundless analytics service that combines enterprise data warehousing and Big Data analytics. 7) Describe the Azure Synapse Analytics architecture. Finally, with the aid of analytical reporting tools like Power BI, insights are visualised and presented to the end users.

article thumbnail

61 Data Observability Use Cases From Real Data Teams

Monte Carlo

Now, data engineers barely have to investigate the issue because the root cause is right in front of you,” said Kineret Kimhi, BI and Data Engineering Manager, BlaBlaCar. That can only be done with a data observability platform that leverages data lineage integrated down to the BI level. ” 36.

Data 52
article thumbnail

61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

Now, data engineers barely have to investigate the issue because the root cause is right in front of you,” said Kineret Kimhi, BI and Data Engineering Manager, BlaBlaCar. That can only be done with a data observability platform that leverages data lineage integrated down to the BI level. ” 36.