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14 results

The Modern SDE
Batch Workflows, Fault Tolerance and MapReduce Explained in Java | DDIA Explained L92

Lecture 92 of Designing Data-Intensive Applications, Explained in Java · Part 11: Batch Processing. In this lecture • A workflow ...

8:51
Batch Workflows, Fault Tolerance and MapReduce Explained in Java | DDIA Explained L92

10 views

5d ago

System Design Lab
Batch Processing vs Stream Processing explained with examples

Batch vs stream processing full course: bounded vs unbounded data, Spark, Kafka, Flink, watermarks, exactly-once, and Lambda ...

1:34:42
Batch Processing vs Stream Processing explained with examples

10,665 views

7d ago

The Modern SDE
The Shuffle in Batch Processing: Sort-Merge Joins Explained in Java | DDIA Explained L93

Lecture 93 of Designing Data-Intensive Applications, Explained in Java · Part 11: Batch Processing. In this lecture • Dataflow ...

9:28
The Shuffle in Batch Processing: Sort-Merge Joins Explained in Java | DDIA Explained L93

4 views

5d ago

Joel Rego 🪔
Why Hadoop Changed Big Data | Bridges | JRXNA

Why did Hadoop change large-scale data processing? Trace its origins from Google's GFS and MapReduce papers to Nutch, ...

9:15
Why Hadoop Changed Big Data | Bridges | JRXNA

13 views

2d ago

yogesh murumkar
Big Data Hands On Install Hadoop, Configure HDFS & Run WordCount Program

... HDFS ✓ Understanding the MapReduce programming model ✓ Running the WordCount MapReduce example ✓ Processing ...

1:02:09
Big Data Hands On Install Hadoop, Configure HDFS & Run WordCount Program

83 views

1d ago

Joel Rego 🪔
How Hive Brought SQL to Hadoop | Bridges | JRXNA

How did Hive bring SQL-like analytics to Hadoop? Follow an event aggregation from HiveQL and metastore metadata through ...

9:19
How Hive Brought SQL to Hadoop | Bridges | JRXNA

47 views

2d ago

App to AI
Designing Data-Intensive Applications by Martin Kleppmann

Welcome to **App to AI** – your go-to channel for all things tech! In this video, we explore: Designing Data-Intensive ...

43:38
Designing Data-Intensive Applications by Martin Kleppmann

18 views

7d ago

RoboSathi
Agentic AI E03 Workflow Design Patterns for AI Systems

Notes: https://robosathi.com/docs/agentic_ai/workflow-design-patterns/ Github: https://github.com/RoboSathi/agentic-ai-series Six ...

33:54
Agentic AI E03 Workflow Design Patterns for AI Systems

34 views

5d ago

Zilliz
Milvus 3.0: A More Powerful Retrieval Engine | Milvus Meetup SF

At the Milvus Meetup in San Francisco, Jiang Chen (Head of Developer Relations and Solutions at Milvus/Zilliz) presented “Milvus ...

26:29
Milvus 3.0: A More Powerful Retrieval Engine | Milvus Meetup SF

34 views

12h ago

The Modern SDE
Distributed Filesystems, Object Stores and Job Schedulers | DDIA Explained L91

Lecture 91 of Designing Data-Intensive Applications, Explained in Java · Part 11: Batch Processing. In this lecture • A cluster ...

11:44
Distributed Filesystems, Object Stores and Job Schedulers | DDIA Explained L91

10 views

5d ago

App to AI
Grokking Algorithms: Aditya Y. Bhargava, published by Manning in 2016.

Welcome to **App to AI** – your go-to channel for all things tech! In this video, we explore: Grokking Algorithms book summary: ...

37:25
Grokking Algorithms: Aditya Y. Bhargava, published by Manning in 2016.

2 views

6d ago

The Effortless Podcast
Recursive Self-Improvement: AI Models, Agents and Memory

Episode Title and Number: AI Is Building AI. Who's Still in the Loop? - The Effortless Podcast – Episode 24 In this episode of The ...

1:02:26
Recursive Self-Improvement: AI Models, Agents and Memory

257 views

23h ago

Mahdiyar Zerehpoush
Designing Data-Intensive Applications, Chapter 2: Data Models and Query Languages

What shape is your data, a tree or a web of links, and how should you ask for it? This explainer walks through Chapter 2 of ...

13:46
Designing Data-Intensive Applications, Chapter 2: Data Models and Query Languages

75 views

5d ago