Data Management Pain Points and Future Solutions for Data Discovery

1

Introduction

00:00 • 4min

2

Big Data Solutions - What's Next?

03:30 • 2min

3

Data Science and Data Engineering Conference Talks and Illustrations

05:07 • 2min

4

Data Discovery Is a New Thing

07:06 • 1min

5

Data Discovery Is a Critical Part of Data Analysis

08:36 • 2min

6

Why Now Is the Right Time to Solve This Problem?

10:50 • 3min

7

Is Kanav a Big Data Tool?

13:24 • 2min

8

What's New in Data Lakes?

15:47 • 2min

9

Reverse Ita a Machine Learning

17:32 • 2min

10

Data Discovery in Data Mesh

19:41 • 3min

11

Data Discovery Is a Part of the Data Discovery Process

22:29 • 2min

12

Data Science

24:57 • 2min

13

Where Is the Source of Truth Data for Actual Etes in San Francisco?

27:18 • 2min

14

Data Discovery for Code - The Next Challenge

29:44 • 2min

15

Is There a Cognitive Overload?

31:41 • 3min

16

Data Catalogues and Data Discovery Are Like Interrelated Terms, Right?

34:47 • 2min

17

The Importance of Documentation in Data Discovery Platforms

36:28 • 5min

18

A, Sop, You're Bringing Up an Analogue With Open Source Culture

41:19 • 2min

19

Data Mesh

43:12 • 2min

20

Does There Need to Be a Promotion Process?

44:47 • 2min

21

Using Status Tip

46:53 • 2min

22

Boosting Up Data Sets With Machine Learning Is a Good Idea

49:17 • 3min

23

Accessibility and Understanding of Data

52:10 • 1min

24

Deta Hub and Metadata - An Overview

53:39 • 2min

25

Doto O Meta Data Platform

55:15 • 4min