The New Horizons Database & Big Data Collection offers a vast array of learning options with instant access to thousands of learning assets across a wide choice of modalities (videos, courses, books, assessments, mentoring, etc.). These learning assets can be used to support database & big data professionals' continuous learning needs from solving an immediate technical problem, to building a well-rounded set of skills and preparing for certification exams.
This is an Online ANYTIME course library and includes multiple individual online courses. The course library will be available for 1 year from the date of purchase. Online ANYTIME gives you access to a self-paced training solution that uses the same core course content as our world-renowned Instructor-Led Training.
What's Included
- Accessing Data with Spark: An Introduction to Spark
- Accessing Data with Spark: Data Analysis using Spark SQL
- Accessing Data with Spark: Data Analysis Using the Spark DataFrame API
- Administering a SQL Database Infrastructure Expert Live with Encore
- Administering Microsoft SQL Server 2012 Databases Expert Live with Encore
- Advanced TIBCO Spotfire
- Apache Storm Introduction â€" Architecture and Installation
- Applied Predictive Modeling
- Auditing, Logging, and Event Handling
- Automation and Machine Learning
- Automation Design & Robotics
- Azure SQL Database Encryption
- Azure Virtual Machines
- Backing Up, Recovering, Importing, and Exporting Data in Oracle Database 12c
- Balancing the Four Vs of Data: The Four Vs of Data
- Base SAS 9 Programming: Creating Reports
- Base SAS 9 Programming: Data Structures
- Base SAS 9 Programming: Inputs and Outputs
- Base SAS 9 Programming: Introduction to Data Sets
- Base SAS 9 Programming: The SAS Environment
- Base SAS 9 Programming: Working with Data Sets
- Batch Solutions with Hive and Apache Pig
- Bayesian Methods: Advanced Bayesian Computation Model
- Bayesian Methods: Bayesian Concepts & Core Components
- Bayesian Methods: Implementing Bayesian Model and Computation with PyMC
- BI with QlikView: Application Deployment and Performance
- Data Repository with HDFS and HBase
- Data Repository with Sqoop
- Data Rollbacks: Transaction Management & Rollbacks in NoSQL
- Data Rollbacks: Transaction Rollbacks & Their Impact
- Data Science 10: Data Research Exploration Techniques
- Data Science 2: Data Driven Organizations
- Data Science 9: Data Research Techniques
- Data Science Overview
- Data Science Statistics: Applied Inferential Statistics
- Data Science Statistics: Common Approaches to Sampling Data
- Data Science Statistics: Inferential Statistics
- Data Science Statistics: Simple Descriptive Statistics
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- Data Scientist 14: Data Research Statistical Approaches
- Data Silos, Lakes, & Streams: Introduction
- Data Silos, Lakes, & Streams: Sources, Visualizations, & ETL Operations
- Data Silos, Lakes, and Streams: Data Lakes on AWS
- Data Sources: Implementing Edge on the Cloud
- Data Sources: Integration
- Getting Started with Microsoft Azure HDInsight and Administering clusters
- Getting Started with Microsoft R
- Getting Started with the Software and Integrating Data
- Guiding the Analysis for Effective Data-driven Decision Making
- Hadoop Cluster Availability
- Hadoop Clusters
- Hadoop Distributed File System
- Hadoop HDFS: File Permissions
- Hadoop HDFS: Introduction
- Hadoop HDFS: Introduction to the Shell
- Hadoop HDFS: Working with Files
- Hadoop in the Cloud
- Hadoop Maintenance and Distributions
- Hadoop Ranger
- Hands-On Labs
- IBM BigInsights Fundamentals: Analyzing, Querying, and Extracting Big Data
- IBM BigInsights Fundamentals: Hadoop Solution
- Implementing Control Flow
- Implementing Governance Strategies
- Implementing Smart Contracts Using Ethereum
- Importing and Manipulating Data
- In Depth with NoSQL
- Indexers, Clusters, and Advanced Search
- Ingesting Data and Computing for Batch Processing
- Microsoft SQL Server 2014 - Designing Solutions: Windows Azure SQL Database
- Microsoft SQL Server 2014 - Developing Databases: New Features
- Microsoft SQL Server 2014: Create and Manage Tabular Data Models
- Microsoft SQL Server 2014: Design and Implement Dimensions
- Microsoft SQL Server 2014: Design and Install Analysis Services and Tools
- Microsoft SQL Server 2014: Design Reports and Create Data Sources and Datasets
- Microsoft SQL Server 2014: Designing Multidimensional Models and Data Sources
- Microsoft SQL Server 2014: Manage Reporting Services
- Microsoft SQL Server 2014: Manage, Maintain, and Troubleshoot SSAS
- Microsoft SQL Server 2014: MDX Queries, Process Models, and Deploy Databases
- Microsoft SQL Server 2014: Process Report and Create Subscriptions and Schedules
- Microsoft SQL Server 2014: Report Formatting and Interactivity
- Microsoft SQL Server 2016 First Look: Preview
- Microsoft SQL Server 2016: Auditing
- Microsoft SQL Server 2016: Backing Up Databases
- Microsoft SQL Server 2016: Data Access and Permissions
- Oracle Database 11g Release 2: SQL Monitoring and Performance Enhancements
- Oracle Database 11g Release 2: Storage Structures and User Security
- Oracle Database 11g Release 2: The ASM Instance and Network Connectivity
- Oracle Database 11g Release 2: The RMAN Catalog and Creating Backups
- Oracle Database 11g Release 2: Using Change Management Solutions
- Oracle Database 11g Release 2: Using, Monitoring and Tuning RMAN
- Oracle Database 11g: Configure, Manage, and Use Services in RAC
- Oracle Database 11g: Installation of Clusterware and RAC
- Oracle Database 12c - Backup and Recovery: Configuring for Recoverability
- Oracle Database 12c - Backup and Recovery: Duplicating Databases and Tuning RMAN
- Oracle Database 12c - Backup and Recovery: Failure and Recovery Concepts
- Oracle Database 12c - Backup and Recovery: Perform Recovery and Secure Backup
- Oracle Database 12c - Backup and Recovery: Performing and Managing Backups
- Oracle Database 12c - Backup and Recovery: Transporting Data and Performing PITR
- Pre-Test 5: Managing Indexes and Statistics
- Pre-Test 5: Optimize SQL Database Objects and Infrastructure
- Pre-Test 6: Database Instances and Performance Tuning
- Pre-Test 6: High Availability
- Pre-Test 6: High Availability and Disaster Recovery
- Predictive Analytics & Big Data
- Predictive Modelling Best Practices: Applying Predictive Analytics
- Preparing Impactful Presentations that Drive Decision Makers to Action
- Process & Application
- Programmability Objects
- Programming Techniques in R
- Programming with NoSQL
- Provisioning an Azure Data Factory
- Python for Data Science â€" Introduction to Python for Data Science
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Python for Data Science: Advanced Operations with NumPy Arrays
- Python for Data Science: Basic Data Visualization Using Seaborn
- Python for Data Science: Introduction to NumPy for Multi-dimentional Data
- Python for Data Science: Introduction to Pandas
- Streaming Data Architectures: Processing Streaming Data
- Structured Streaming
- Subqueries and Predicate
- T-SQL Querying
- Tableau Advanced Visualizations
- Tableau Calculations
- Tableau Charts
- Tableau Dashboards and Data Organization
- Tableau Data Connections
- Tableau Desktop: Real Time Dashboards
- Tableau Interface and Sharing
- Tableau Maps
- Tableau Scripting
- Tableau Time Dimensions
- Tableau Visualization
- Tableau Visualization Design
- Teradata Basics: Communication and Database Security
- Aggregating Data in SQL Server 2016
- An Overview of Apache Cassandra
- Analytics by Function
- Apache Hadoop
- Apache Hadoop on Amazon EMR
- Apache HBase Fundamentals: Access Data through the Shell and Client API
- Apache HBase Fundamentals: Advanced API, Administration, and MapReduce
- BI with QlikView: Dashboards and Comparative Analysis
- BI with QlikView: Data Governance and Metadata Management
- BI with QlikView: Data Modeling
- BI with QlikView: Getting Started
- BI with QlikView: Macros and Properties
- BI with QlikView: Scripting and Designing
- BI with QlikView: Server
- Big Data - The Legal Perspective
- Big Data Corporate Leadership Perspective
- Big Data Engineering Perspectives
- Big Data Fundamentals
- Big Data Interpretation
- Big Data Marketing Perspective
- Big Data Opportunities and Challenges
- Big Data Sales Perspective
- Big Data Strategic Planning
- Bitcoin Internals and Wallet Configuration
- Bitcoin Technology Fundamentals
- Blockchain and Your Business
- Blockchain Architectural Components and Platforms
- Blockchain in Action and IoT
- Blockchain Trust and Design
- Blockchains & Ethereum: Introduction
- Blockchains & Ethereum: Mining and Smart Contracts in Ethereum
- Data Tools: Machine Learning & Deep Learning in the Cloud
- Data Tools: Technology Landscape & Tools for Data Management
- Data Transformation
- Data Visualization and Predictive Analytics
- Data Visualization: Essentials
- Data Warehouse Essential: Architecure Frameworks and Implementation
- Data Warehouse Essential: Concepts
- Data Warehousing with Azure: Analytics and Reporting
- Data Warehousing with Azure: Architecture & Modeling Techniques
- Data Warehousing with Azure: Data Lake Implementation Using Azure
- Data Warehousing with Azure: Implementing Azure SQL Data Warehouse
- Data Warehousing with Azure: Managing Azure Data Lake
- Data Warehousing with Azure: Working with SQL Data Warehouse Objects
- Data Warehousing with Hadoop: HDInsight and Retail Sales Implementation Using Hive
- Data Warehousing with Hadoop: Managing Big Data Using HDInsight Hadoop
- Data Warehousing with Hadoop: Microsoft Analytics Platform System and Hive
- Ingesting Data and Computing for Real-time Processing
- Installation of Hadoop
- Installing and Upgrading SQL Server 2016
- Interactive Processing using Apache Phoenix on HBase
- Interactive Queries with Spark SQL and Interactive Hive
- Introduction to Apache Spark
- Introduction to Data Modeling in Hadoop
- Introduction to Designing a Relational Database
- Introduction to Digital Currency
- Introduction to Hadoop
- Introduction to SQL
- Introduction to SQL: Managing Table Design
- Introduction to SQL: Multiple Tables and Advanced Queries
- Introduction to SQL: Views, Transactions, and SQL Security Architecture
- Java ASYNC Interface
- K-Nearest Neighbor (k-NN) & Artificial Neural Networks
- Kafka Integration with Spark
- Kafka Integration with Storm
- Kafka Real-time Applications
- Key Statistical Concepts
- Linear and Logistic Regression
- Linear Regression Models: An Introduction to Logistic Regression
- Linear Regression Models: Building Simple Regression Models with Scikit Learn and Keras
- Microsoft SQL Server 2016: Encryption
- Microsoft SQL Server 2016: High Availability and Disaster Recovery
- Microsoft SQL Server 2016: Managing Database Integrity
- Microsoft SQL Server 2016: Managing Indexes and Statistics
- Microsoft SQL Server 2016: Monitoring Database Activity and Queries
- Microsoft SQL Server 2016: Monitoring SQL Server Instances
- Microsoft SQL Server 2016: Restoring Databases
- Microsoft SQL Server Data Warehousing and Business Intelligence Overview
- Microsoft SQL Server: Implement and Configure Cubes
- Microsoft SQL Server: Implement Partitions and Custom Logic
- Migrating Client Applications
- Model Development, Validation, & Evaluation
- Model Life Cycle Management
- Modifying and Summarizing Data
- MongoDB for Data Wrangling: Aggregation
- MongoDB for Data Wrangling: Querying
- MongoDB: Backups, Monitoring, and Stats
- MongoDB: Cloud and Hadoop Deployments
- MongoDB: Indexes and Query Optimization
- MongoDB: Installation Overview
- Oracle Database 12c - Backup and Recovery: Using Flashback Technologies
- Oracle Database 12c - Introduction to SQL: Data Conversion and Aggregating Data
- Oracle Database 12c - Introduction to SQL: Data Manipulation Language
- Oracle Database 12c - Introduction to SQL: Relational Database and SQL Developer
- Oracle Database 12c - Introduction to SQL: Restrict, Sort, and Customize Output
- Oracle Database 12c - Introduction to SQL: SQL*Plus and SELECT Statement
- Oracle Database 12c - Introduction to SQL: Working with Joins and Subqueries
- Oracle Database 12c - Introduction to SQL: Working with SET Operators and DDL
- Oracle Database 12c â€" Install and Upgrade: Database Architecture
- Oracle Database 12c â€" Install and Upgrade: Installation
- Oracle Database 12c â€" Install and Upgrade: Upgrading
- Oracle Database 12c R2 SQL: Controlling User Access
- Oracle Database 12c R2 SQL: Conversion Functions and Conditional Expressions
- Oracle Database 12c R2 SQL: Creating Other Schema Objects
- Oracle Database 12c R2 SQL: Data Definition Language (DDL)
- Python for Data Science: Manipulating and Analyzing Data in Pandas DataFrames
- Quality and Security of Big Data Operations
- Querying and Manipulating Data
- R for Data Science: Classification & Clustering
- R for Data Science: Data Exploration
- R for Data Science: Data Structures
- R for Data Science: Data Visualization
- R for Data Science: Importing and Exporting Data
- R for Data Science: Regression Methods
- Random Forests & Uplift Models
- RavenDB Integration
- RavenDB Overview
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- Raw Data to Insights: Data Management & Decision Making
- Regression Analysis
- Research Topics in ML and DL
- Script Components
- Scripting with Spotfire
- Securing Blockchain Implementations
- Securing Hadoop Clusters
- Serving Digital Customers with Omnichannel
- Spark Monitoring and Tuning
- Spark Security
- Teradata Basics: Data Storage and Access Methods
- Teradata Basics: Relational Database and Data Warehouse Basics
- Teradata SQL: DDL, DML, and SQL Optimization
- Teradata SQL: Functions, Data Conversions, and Working with Time
- Teradata SQL: The SELECT Statement, Joins, and Subqueries
- Text Mining & Social Network Analysis
- The Basics of Blockchain
- The Big Data Technology Wave
- The R Language and Big Data Processing
- Time Series Modeling
- Transactions and Isolation Levels
- Trifacta for Data Wrangling: Wrangling Data
- Triggers and Functions
- Apache HBase Fundamentals: Installation, Architecture, and Data Modeling
- Apache Kafka Development
- Apache Kafka Operations
- Apache Solr - Query and Data Management
- Apache Solr â€" Deployment and Configuration
- Apache Spark SQL
- Apache Storm Introduction - API and Topology
- Blockchains & Ethereum: Performing Transactions in Ethereum
- Building Data Pipelines
- Building Decentralized Applications for Ethereum: An Introduction to dApps
- Building Decentralized Applications for Ethereum: Bespoke Ethereum Tokens
- Building Decentralized Applications for Ethereum: Building the Back End
- Building Decentralized Applications for Ethereum: Building the Front End
- Building ML Training Sets: Introduction
- Building ML Training Sets: Preprocessing Datasets for Classification
- Building ML Training Sets: Preprocessing Datasets for Linear Regression
- Building Solutions using Kafka and HBase
- Capacity Management for Hadoop Clusters
- Cassandra vs. SQL
- Cloud Blockchains: An Introduction to Blockchain on the Cloud
- Cloud Blockchains: Building Apps on the Azure Blockchain Workbench
- Cloud Blockchains: Multi-Organization Networks on Amazon Managed Blockchain
- Cloud Blockchains: Single Organization Networks on Amazon Managed Blockchain
- Data Warehousing with Hadoop: Spark, HDInsight and Cluster Management
- Data Wrangler 4: Cleaning Data in R
- Data Wrangling in R
- Data Wrangling with Pandas: Advanced Features
- Data Wrangling with Pandas: Visualizations and Time-Series Data
- Data Wrangling with Pandas: Working with Series & DataFrames
- Database Instances
- Database Maintenance and Performance Tuning in Oracle Database 12c
- Database Programmability Objects and Non-Relational Data
- Database Systems and Relational Databases
- Debugging in R
- Decision Tree and Classification Analysis
- Deep Learning with Keras
- Deploying Applications to Microsoft Azure SQL Databases
- Deploying Data Tools: Data Science Tools
- Deploying Hadoop Clusters
- Design Thinking for Innovation: Brainstorming and Ideation
- Design Thinking for Innovation: Defining Opportunities
- Design Thinking for Innovation: Prototyping and Testing
- Design Thinking for Innovation: Stakeholder Engagement
- Linear Regression Models: Introduction to Linear Regression
- Linear Regression Models: Multiple and Parsimonious Linear Regression
- Linear Regression Models: Simplifying Regression and Classification with Estimators
- Live Session 1: Encryption, Data Access, Permissions, and Auditing
- Live Session 1: Installing SQL Server Instances and Creating Databases
- Live Session 1: SQL Server 2016 Database Objects, Indexes, and Views
- Live Session 2: Backing Up and Restoring Databases
- Live Session 2: Columnstore Indexes and Programmability Objects
- Live Session 2: Manage Data in SQL 2012
- Live Session 3: Managing Database Integrity
- Live Session 3: Optimizing and Troubleshooting SQL 2012
- Live Session 3: Triggers, Functions, Transactions, and Isolation Levels
- Live Session 4: Managing Database Concurrency
- Live Session 4: Monitoring Database Activity, Queries, and SQL Server Instances
- Live Session 4: Recovering Databases, Configuring Mail, and Automating Tasks
- Live Session 5: Implementing Security
- MongoDB: Integration with Python
- MongoDB: Integration with Spark
- MongoDB: Java REST and GridFS
- MongoDB: Map Reduce, Atomic Counters, and Binary Data
- MongoDB: Replication and Security
- MongoDB: System Management
- MongoDB: User Management
- MongoDB: Write, Read, and Aggregate Data
- More Spotfire Visualization Techniques
- Motivating Action with a Compelling and Data-driven Story
- MySQL Database Development: Database Design Fundamentals
- MySQL Database Development: DDL Statements
- MySQL Database Development: GIS, Cloud, and Connectors for MySQL
- MySQL Database Development: Introduction
- MySQL Database Development: Manipulating Data
- MySQL Database Development: Query and Performance Optimization
- MySQL Database Development: SELECT Statement and Operators
- MySQL Database Development: Stored Routines, Triggers, and the InnoDB memcached Plugin
- MySQL Database Development: Working with Functions
- Oracle Database 12c R2 SQL: Data Manipulation Language and Transaction Control Language
- Oracle Database 12c R2 SQL: Displaying Data from Multiple Tables
- Oracle Database 12c R2 SQL: Managing Objects with Data Dictionary ViewsÂ
- Oracle Database 12c R2 SQL: Managing Schema Objects  Â
- Oracle Database 12c R2 SQL: Manipulating Data Using Advanced Queries
- Oracle Database 12c R2 SQL: Reporting Aggregated Data Using the Group Functions  Â
- Oracle Database 12c R2 SQL: Restricting and Sorting Data
- Oracle Database 12c R2 SQL: SQL*Plus
- Oracle Database 12c R2 SQL: Using Basic SELECT statements
- Oracle Database 12c R2 SQL: Using Single-Row Functions to Customize Output  Â
- Oracle Database 12c R2 SQL: Using Structured Query Language (SQL)
- Oracle Database 12c R2 SQL: Using Subqueries to Solve QueriesÂ
- Oracle Database 12c R2 SQL: Using the Set Operators
- Oracle Database 12c RAC Administration: Backup and Recovery
- Oracle Database 12c RAC Administration: Client Connections and QoS
- Oracle Database 12c RAC Administration: Day-to-Day Administration
- Splunk Fundamentals
- Splunk Visualizations and Dashboards
- Spotfire Automation, Analyzation, and Visualization
- Spotfire Basics
- Spotfire Data Combinations
- Spotfire Visualizations and Relationships
- SQL Server 2016 Database Objects
- SQL Server 2016 Indexes and Views
- SQL Server Database Fundamentals: Creating, Optimizing, and Securing Databases
- SQL Server Database Fundamentals: Design Principles and Data Manipulation
- SQL Server Instances and Storage Considerations
- SQL Server Performance Settings
- SQL Server Virtual Machines on Azure
- SQL Tuning, Resource Management, and Job Scheduling in Oracle Database 12c
- SSIS Components
- SSIS Package Execution and Script Tasks
- SSIS Packages
- SSIS Security
- SSIS Solutions
- SSIS Variables
- Stabilizing Hadoop Clusters
- Streaming Data Architectures: An Introduction to Streaming Data
- Troubleshooting Data Integration
- Understanding and Raising Analytics Maturity
- Understanding the Digital Customer
- User Security and Auditing in Oracle Database 12c
- Using Data to Find Data: Correction & Categorization
- Using Data to Find Data: Data Discovery & Exploration
- Using Functions in SQL Server 2016
- Using Your Data with Splunk
- Working with Bitcoin
- Working with Cassandra
- Working with Data for Effective Decision Making
- Working with Data Mapping, Jobs, and Automation
- Working with HDInsight Clusters