ThoughtSpot

APRIL 22, 2025

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. One of the complexities of real-life business questions is that the information required to do the analysis or calculation doesnt always exist as a simple database column.

BI 59

BI Datasets Business Intelligence Raw Data 59

Data Engineering Weekly

FEBRUARY 18, 2025

Kafka is designed for streaming events, but Fluss is designed for streaming analytics. Architecture Difference The first difference is the Data Model. Instead of Kafka's topics, Fluss organizes data into database tables with partitions and buckets. Pinot provides SQL for OLAP queries and BI tool integrations.

Kafka 75

Kafka Lambda Architecture SQL Architecture 75

ThoughtSpot

JUNE 24, 2024

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

BI Analytics Architecture SQL Cloud 59

Edureka

FEBRUARY 7, 2023

It is possible to use Azure SQL Database, Azure SQL Managed Instance and Azure Synapse Analytics. It can be set up as a security policy on all SQL Databases in an Azure subscription. It has no effect on the actual data stored in the database. 7) Describe the Azure Synapse Analytics architecture.

Data Engineer 52

Data Engineer Data Engineering Engineering Hadoop 52

Monte Carlo

MAY 17, 2023

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. Another common breaking schema change scenario is when data teams sync their production database with their data warehouse as is the case with Freshly. ” 36.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

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. Another common breaking schema change scenario is when data teams sync their production database with their data warehouse as is the case with Freshly. ” 36.

Data Pipeline 52

Data Pipeline Data Engineering Data Engineer Data 52