Data

Pluralsight – Migrating Your Mission Critical Data Warehouse To Azure Synapse Analytics

Pluralsight – Migrating Your Mission Critical Data Warehouse To Azure Synapse Analytics-NOLEDGE
English | Size: 149.45 MB
Category: Tutorial


Microsoft Ignite 2019 | Migrating Your Mission-Critical Data Warehouse to Azure Synapse Analytics | Charles Feddersen, Anne Michelle Cruz
The cloud has massively disrupted the long standing data warehouse appliance. More than ever customers are modernizing on-premise workloads into elastic cloud architectures to embrace new analytic capabilities, make better decisions, and gain competitive advantage. This demo-rich session will showcase the latest capabilities of Azure Synapse Analytics to streamline migrations, all the way from code conversion to enterprise grade developer tooling. This session will also feature a customer who has successfully migrated from their legacy appliance to Azure present the details of their journey.

PluralSight – Data Wrangling With Python-REBAR

PluralSight – Data Wrangling With Python-REBAR
English | Size: 136.68 MB
Category: Tutorial


Machine Learning and Data analytics in general follows the garbage-in/garbage-out principle. If you want to learn from or predict based on your data, you need to make sure that data is well constructed and cleaned. This course, Data Wrangling with Python, is aimed at helping you do exactly that. First, you’ll see how to merge data from different sources using the methods concat, append, and merge. Next, you’ll discover how to combine data into groups. The primary function used here is groupby. In the next two sections, you’ll explore how to transform and normalize data. You’ll learn why these processes are necessary, and then proceed to see how they work in practice. Finally, you’ll examine important processes such as One Hot Encoding, which enables further processing during data analysis. When you’re finished with this course, you’ll have thorough knowledge of data wrangling which will help you immensely during your data analysis and machine learning projects.

PluralSight – Secure Coding Preventing Sensitive Data Exposure

PluralSight – Secure Coding Preventing Sensitive Data Exposure-REBAR
English | Size: 122.69 MB
Category: Tutorial


Would you like the ability to recognize what is needed to make a web application properly manage sensitive data and prevent it from unintended exposure? This course, Secure Coding: Preventing Sensitive Data Exposure, will show you the knowledge that is based on the recommendations set by the Open Web Application Security Project (or OWASP in short). First, you will learn how to think of sensitive data and what constitutes sensitive data. Next, you will discover TLS; the protocol to protect sensitive data transmitted between a web browser and web application and the different facilities it provides to enable this protection. Finally, you will explore how to properly manage user passwords stored in a database. When you’re finished with this course, you will have the knowledge of preventing sensitive data exposure needed to effectively and efficiently apply them in your own Web applications.

PluralSight – Python For Data Analysts-REBAR

PluralSight – Python For Data Analysts-REBAR
English | Size: 390.46 MB
Category: Tutorial


Python has exploded in popularity in recent years and has emerged as the technology of choice for data analysts and data scientists.
In this course, Python for Data Analysts, you will gain the ability to write Python programs and utilize fundamental building blocks of programming and data analysis. First, you will learn how programming languages such as Python, spreadsheets such as Microsoft Excel, and SQL-based technologies such as databases differ from each other, and also how they inter-operate.

Cloud Academy – Configuring Multiple AWS Accounts With Amazon Macie to Protect Pii Data in S3

Cloud Academy – Configuring Multiple AWS Accounts With Amazon Macie to Protect Pii Data in S3-STM
English | Size: 228.35 MB
Category: Tutorial


Within this course, I will be providing an overview of the relationship between Amazon Macie Master and Member accounts, in addition to a demonstration on how to configure this relationship allowing you to centralize S3 data compliance findings.