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Big Data Systems (WT 2024/25) - tele-TASK
Updated 12 days ago · Refreshed hourly
educationcourses Inactive· last ep. 10 months ago

Big Data Systems (WT 2024/25) - tele-TASK

Hosted by Martin Boissier · EN · 20 episodes

Where this show ranks

Episodes
20
Last ep.
10 months ago
Avg length
70m
Booking Probability™
27
Stretch.
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Estimated audience
,
Audience size not yet estimated
Listen Score
19
Niche reach.
Virality (30d)
8
Steady cadence.

Pitch Analysis

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Required Pod Score
80/ 100
Premium

Established thought leaders with verified media credentials.

Guest openness
Not signalled recently
Best topics to pitch
educationcourses

About this podcast

The amount of data that can be generated and stored in academic and industrial projects and applications is increasing rapidly. Big data analytics technologies have established themselves as a solution for big data challenges to the scalability problems of traditional database systems. The vast amounts of new data that is collected, however, usually is not as easily analyzed as curated, structured data in a data warehouse is. Typically, these data are noisy, of varying format and velocity, and need to be analyzed with techniques from statistics and machine learning rather than pure SQL-like aggregations and drill-downs. Moreover, the results of the analyzes frequently are models that are used for decision making and prediction. The complete process of big data analysis is described as a pipeline, which includes data recording, cleaning, integration, modeling, and interpretation.In this lecture, we will discuss big data systems, i.e., the infrastructures that are used to handle all st

educationcourses

About the host

Martin Boissier hosts Big Data Systems (WT 2024/25) - tele-TASK, a education show with 20 episodes published.

Recent episodes

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Audience demographics

Age
25-54
Consumer type
Lifelong learners

Topics covered

educationcourses

Successful pitch examples

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Best industries to pitch Big Data Systems (WT 2024/25) - tele-TASK for

Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:

Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.

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Frequently asked questions

How do I pitch Big Data Systems (WT 2024/25) - tele-TASK as a podcast guest?

To pitch Big Data Systems (WT 2024/25) - tele-TASK, visit https://www.tele-task.de/series/1527/ for contact information, then craft a tight one-paragraph hook that ties your expertise to a gap in their recent education coverage.

Who is the host of Big Data Systems (WT 2024/25) - tele-TASK?

Big Data Systems (WT 2024/25) - tele-TASK is hosted by Martin Boissier. The show is categorised under education (courses) and has published 20 episodes.

How many episodes does Big Data Systems (WT 2024/25) - tele-TASK have?

Big Data Systems (WT 2024/25) - tele-TASK has published 20 episodes.

What topics does Big Data Systems (WT 2024/25) - tele-TASK cover?

Big Data Systems (WT 2024/25) - tele-TASK regularly covers education, courses. It sits in the education category, with a courses focus.

Is it hard to get booked on Big Data Systems (WT 2024/25) - tele-TASK?

Big Data Systems (WT 2024/25) - tele-TASK is accessible for guests with genuine education expertise. A personalised, episode-aware pitch will still outperform a generic one every time.

Is Big Data Systems (WT 2024/25) - tele-TASK currently accepting guest pitches?

Big Data Systems (WT 2024/25) - tele-TASK hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.

How long are Big Data Systems (WT 2024/25) - tele-TASK episodes?

Episodes of Big Data Systems (WT 2024/25) - tele-TASK average 70 minutes, giving guests a long-form format with plenty of time to expand on their expertise.

What guest credentials does Big Data Systems (WT 2024/25) - tele-TASK typically look for?

Our data rates Big Data Systems (WT 2024/25) - tele-TASK's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.

Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 12 days ago.

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