Data

Pluralsight – Modern Enterprise Data Engineering

Pluralsight – Modern Enterprise Data Engineering-NOLEDGE
English | Size: 64.72 MB
Category: Tutorial


Big Data LDN 2019 | Modern Enterprise Data Engineering | Suki Dhupar We envision a world where enterprise data customers readily have access to high quality, cross-silo, unified enterprise data for all of their core logical entities. Data Operations (DataOps) is a methodology consisting of people, processes, tools, and services for enterprises to rapidly repeatedly, and reliably deliver production-ready data from the vast array of enterprise data sources Learn how to and why implementing these key ingredients can help a business achieve the analytic velocity necessary to create a competitive advantage

Coursera – Preparing for the Google Cloud Professional Data Engineer Exam

Coursera – Preparing for the Google Cloud Professional Data Engineer Exam
English | Size: 214.43 MB
Category: Tutorial


Hey guys, so I passed the GCP : Professional Data Engineer exam on 17th January 2020 and I went through a really tough time gathering all the resources to study and practice. So, I thought that it would be great if I could collate all the things at one place which would help other aspiring people to prepare thoroughly for the exam. The exam pattern has been changed since March’19 and all the things included in this post are w.r.t the new pattern. I will also be attaching links for each and every resource that I mention in this article so that all you need to do is follow along and start preparing.

Pluralsight – Data Loading Best Practices-QUASAR

Pluralsight – Data Loading Best Practices-QUASAR
English | Size: 111.40 MB
Category: Tutorial


Microsoft Ignite 2019. Data Loading Best Practices. Chris Testa-O’Neill
Connect to a Windows Azure Blob Storage (WASB) container to load dimension tables using best practices on distribution and indexes

Pluralsight – Data Modelling With Apache Cassandra

Pluralsight – Data Modelling With Apache Cassandra-NOLEDGE
English | Size: 146.76 MB
Category: Tutorial


Notes: Big Data LDN 2019 | Data Modelling with Apache Cassandra | Patrick Callaghan
Any data science initiative depends on data to work. That data has to be modeled and managed well in order to get value out of it. However the approach we take around data modelling can be influenced by the ways that we store data over time Understanding this in advance can make it easier to get to answers from our data and also avoid problems caused by bad decisions or overlooking data modelling at the start. In this session, you will learn about applying data modelling based on taking concepts through to logical workflows and understand how to implement a data model on Apache Cassandra

Skillshare – Data Analysis with Pandas and NumPy in Python 2020

Skillshare – Data Analysis with Pandas and NumPy in Python 2020-ViGOROUS
English | Size: 1.49 GB
Category: Tutorial


About This Class
Apply for the best job in the world after completing the course.
Get Transformed from Beginner to Expert .
Learn Data Science Concepts
Source Codes are provided for each session so that you can practice along with the lectures..
Start doing the extrapolatory data analysis ( EDA) on any kind of data and start making the meaningful business decisions
Start python programming professionally