Professional certification in Data Center

Tableu Prep Builder & Scaling Data Pipelines with Spark NLP

Our IT training courses are developed with industry-standards and career-focused technologies.


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Duration & Study Mode:
Full time, Part-time, Evening and Weekends, Virtual online
Location:
London, Flexible online
Duration: 4 Days
£3,000
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Scaling Data Pipelines with Spark NLP

Introduction

  • Spark NLP vs NLTK vs spaCy
  • Overview of Spark NLP features and architecture

Getting Started

  • Setup requirements
  • Installing Spark NLP
  • General concepts

Learning the Basics of Spark DataFrame

  • Getting Started with Spark DataFrames
  • Implementing Basic Operations with Spark
  • Using Groupby and Aggregate Operations
  • Working with Timestamps and Dates

Using Pre-trained Pipelines

  • Importing required modules
  • Default annotators
  • Loading a pipeline model
  • Transforming texts

Building NLP Pipelines

  • Understanding the pipeline API
  • Implementing NER models
  • Choosing embeddings
  • Using word, sentence, and universal embeddings

Classification and Inference

  • Document classification use cases
  • Sentiment analysis models
  • Training a document classifier
  • Using other machine learning frameworks
  • Managing NLP models
  • Optimizing models for low-latency inference

Tableu Prep Builder

Introduction

  • Tableau Prep Builder as an ETL (Extract, Transform and Load) tool

Setting up Tableau Prep Builder

  • Activating and Register Tableau Prep Builder

Overview of Tableau Prep Builder Features and Architecture

  • Tableau Prep Builder and its relation to Tableau Desktop, Tableau Server and Tableau Prep Conductor

Connecting to Data Source

  • Reading from a database

Shaping Data

  • Creating a Join
  • Creating a Union

Pivoting Data

  • Changing columns to rows

Cleaning Data

  • What is dirty data?
  • Changing the data type
  • Filtering data
  • Aggregating data
  • Updating multiple values at once

Running a Flow

  • Building a flow
  • Refreshing a flow
  • Running a flow from the command line

Outputting Data to Tableau Desktop

  • Analyzing data

Publishing Data

  • Packaging a Prep Builder data flow into an extract
  • Publishing a flow with Prep Conductor

Prerequisites

  • No particular prerequisite is there for the Snowflake training.
  • Exposure to databases and analytical tools, a basic understanding of statistics, and Datawarehousing experience is recommended but not mandatory.

What will you gain after this course

After completing this Snowflake training course, you will be able to:  

  • Understand the basics of data warehousing concepts and architecture and provides an overview of the Snowflake platform. 
  • Learn how to load and query data in Snowflake and use some of the key features that make Snowflake unique.
  • Optimise query performance
  • Work with large data sets, and manage complex data pipelines. 
  • Dive deeper into the Snowflake platform, learning about its unique storage and storage capabilities.

Jobs you can get
with a Tableu Prep Builder & Scaling Data Pipelines with Spark NLP

  • Data Analyst
  • Data Engineer
  • Database Architect
  • Data Application Developer
  • Data Warehouse Lead

Corporate Group Training

  • Customized Training
  • Onsite / Virtual
  • Instructor-led Delivery
  • For small to large groups

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Who is this certification for?

  • Students considering a career in IT.
  • Professionals working in the cloud data warehouse field.
  • Everyone interested in learning Snowflake, regardless of their skill level


Group-Icon2
Small Groups

With small groups of students, our instructors can work closely with each student.

Schedule
Flexible Class Schedules

Our class schedules are flexible on weekdays, weekend, or evenings to suit your schedule.

Instructors
Experienced Instructors

Our instructors follow a modified are personalized approach to engage students during class

Lab-Facilities
Hi-Tech Lab Facilities

Our students can access our lab facilities anytime for practical experience during and after studies.

Syllabus

  • Understanding the benefits of a cloud-based data warehouse
  • Analyzing how cloud data warehousing fits into today's economy
  • Data access and analytics need to adapt to increasing demands
  • Data creation and use in today's world
  • Utilizing new and improved technologies to address the challenges
  • How to choose the right data warehouse solution
  • A high performance-to-price ratio
  • Prioritizing the security and protection of data
  • Assessing the differences between cloud-based data warehouses
  • Performance factors that must be considered
  • Protecting and securing data with the right solution
  • Identifying your administrative cost savings
    • Key Concepts & Architecture, Cloud Platforms & Snowflake Editions
    • Overview of Key Features, the Data Lifecycle
    • Continuous Data Protection
    • SnowSQL (CLI Client)
    • Installing &Configuring SnowSQL
    • Connecting Through & Using SnowSQL
    • JDBC Driver
    • ODBC Driver
    • Client Considerations
    • Diagnosing Common Connectivity Issues
    • Overview of Data Loading/Unloading
    • Data Loading/Unloading Considerations
    • Preparing to Load/Unload Data
    • Bulk Loading/Unloading from a Local File System, Amazon S3 & Snowpipe
    • Loading Using the Web Interface (Limited)
    • Querying Data in Staged Files
    • Querying Metadata for Staged Files
    • Transforming Data During a Load
    • Using the Web Interface
    • Virtual Warehouses
    • Databases, Tables & Views
    • Queries
    • Date & Time Data
    • Semi-structured Data
    • Binary Data
    • Snowflake Time Travel & Fail-safe
    • Introduction to Data Sharing
    • Data Providers
    • Getting Started with Data Sharing
    • Working with Shares
    • Using Secure Objects to Control Data Access
    • Managing Reader Accounts
    • Configuring a Reader Account
    • Data Consumers
    • System Usage & Billing
    • Understanding Snowflake Credit and Storage Usage & Data Transfer Billing
    • Monitoring Account-level Credit and Storage Usage
    • Working with Resource Monitors
    • Parameter Management & User Management
    • Informatica Cloud Services and Snowflake Integration
    • Introduction to Snowflake Connector
    • Snowflake Connector Task and Object Types
    • Informatica Cloud Hosted Agent
    • Snowflake Connections & Properties
    • Mappings and Mapping Configuration Tasks with Snowflake Connector
    • Snowflake Objects in Mappings
    • Pushdown Optimization
    • Snowflake Sources in Mappings
    • Key Range Partitioning
    • Snowflake Targets & Lookups in Mappings
    • Rules and Guidelines for Snowflake objects

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