Analytics Architecture and SQL - Data Engineering Digest

Analytics Architecture

SQL

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

Data Engineering Weekly

FEBRUARY 18, 2025

I spoke with Jark Wu , who leads the Fluss and Flink SQL team at Alibaba Cloud, to understand its origins and potential. Jark is a key figure in the Apache Flink community, known for his work in building Flink SQL from the ground up and creating Flink CDC and Fluss. Architecture Difference The first difference is the Data Model.

Kafka

Kafka Lambda Architecture SQL Architecture

Spotter: Your AI Analyst

ThoughtSpot

APRIL 22, 2025

The built-in AI automatically explains why something is changing without waiting for analyst support or complex SQL queries. 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.

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Webinars

Going Beyond Chatbots: Connecting AI to Your Tools, Systems, & Data

Smart Tech + Human Expertise = How to Modernize Manufacturing Without Losing Control

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Trending Sources

Modern Customer Data Platform Principles

Data Engineering Podcast

JANUARY 21, 2024

Summary Databases and analytics architectures have gone through several generational shifts. Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises.

Data Lake

Data Lake High Quality Data NoSQL Data Warehouse

Webinars

Going Beyond Chatbots: Connecting AI to Your Tools, Systems, & Data

Smart Tech + Human Expertise = How to Modernize Manufacturing Without Losing Control

MORE WEBINARS

A Multipurpose Database For Transactions And Analytics To Simplify Your Data Architecture With Singlestore

Data Engineering Podcast

MAY 29, 2022

By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more.

Database

Database Architecture Data Architecture PostgreSQL

An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

AUGUST 21, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Can you describe what is driving the adoption of real-time analytics? Can you describe what is driving the adoption of real-time analytics?

Lambda Architecture

Lambda Architecture MongoDB MySQL Scala

Data Engineering Weekly #107

Data Engineering Weekly

NOVEMBER 13, 2022

link] Sponsored: Build SQL Pipelines. With Upsolver SQLake, you build a pipeline for data in motion simply by writing a SQL query defining your transformation. The author shares one such experience where all the A/B experiment analytics can build on top of the basic SQL queries. Not Endless DAGs!

Data Engineering

Data Engineering Data Engineer Engineering Kafka

2024 Gartner Magic Quadrant: ThoughtSpot leads with GenAI

ThoughtSpot

JUNE 24, 2024

When analysts and data professionals look at the AI-generated search-to-token-SQL provided by ThoughtSpot Sage, they know they cannot get these types of results using a simple chatbot or LLM for text-to-insights via SQL generation.

BI Analytics Architecture SQL Cloud

An In-Depth Guide to Real-Time Analytics

Striim

AUGUST 22, 2024

Moreover, there are two forms of real-time analytics. These include: On-demand real-time analytics With on-demand real-time analytics, users send a request, such as with an SQL query, to deliver the analytics outcome. Benefits of Real-Time Analytics There are countless benefits of real-time analytics.

Data Warehouse

Data Warehouse Retail Machine Learning Database

Azure Data Engineer Interview Questions -Edureka

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. Data entry into PDW is optimized by Polybase, which also supports T-SQL. 7) Describe the Azure Synapse Analytics architecture.

Data Engineering

Data Engineering Data Engineer Engineering Hadoop

How to Use KSQL Stream Processing and Real-Time Databases to Analyze Streaming Data in Kafka

Rockset

MARCH 19, 2020

In this post, I’ll discuss some common real-time analytics use-cases that we have seen with our customers here at Rockset and how different real-time analytics architectures suit each of them. It’s important to also note that while Kafka is quite powerful, there are many things it self-admittedly is not.

Kafka

Kafka Database Process SQL

Snowflake Data Mesh: Ensure Reliable Data with Data Observability

Monte Carlo

JULY 25, 2022

But one thing’s for sure: if you can’t trust the data powering your analytics architecture, it’s hard to justify the investment. The Snowflake elastic performance engine allows teams to work in their language of choice (SQL, Java, Python, or a mix) as they power pipelines, reporting, applications, or exploration.

Government

Government Data Architecture Insurance

Top-Paying Data Engineer Jobs in Singapore [2023 Updated]

Knowledge Hut

FEBRUARY 27, 2023

This data analytics Bootcamp enhances your portfolio and provides comprehensive training and career support. You can brush up on core skills like Excel and SQL and learn best practices for data analytics from industry veterans. You will be helped with professional guidance and mentoring for your career as a data analyst.

Data Engineering

Data Engineering Data Engineer Database-centric Pipeline-centric

61 Data Observability Use Cases From Real Data Teams

Monte Carlo

MAY 17, 2023

Upstream Code Impacting Data Systems It’s not just SQL queries that can create data quality problems. Save Analytical Engineer’s Time Analytical engineers play a critical role as a liaison between technical and business teams. Over one weekend they had 21 different tasks that were hanging. ” 36. “For

Data

Data Data Pipeline Data Engineering Data Engineer

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

Monte Carlo

MAY 17, 2023

Upstream Code Impacting Data Systems It’s not just SQL queries that can create data quality problems. Save analytical engineer’s time Analytical engineers play a critical role as a liaison between technical and business teams. Over one weekend they had 21 different tasks that were hanging. ” 36. “For

Data Pipeline

Data Pipeline Data Engineering Data Engineer Data

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

Spotter: Your AI Analyst

Webinars

Trending Sources

Modern Customer Data Platform Principles

Webinars

A Multipurpose Database For Transactions And Analytics To Simplify Your Data Architecture With Singlestore

An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Weekly #107

2024 Gartner Magic Quadrant: ThoughtSpot leads with GenAI

An In-Depth Guide to Real-Time Analytics

Azure Data Engineer Interview Questions -Edureka

How to Use KSQL Stream Processing and Real-Time Databases to Analyze Streaming Data in Kafka

Snowflake Data Mesh: Ensure Reliable Data with Data Observability

Top-Paying Data Engineer Jobs in Singapore [2023 Updated]

61 Data Observability Use Cases From Real Data Teams

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

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