NoSQL Training

Gartner's Definition of Big Data, Limitations of Relational Databases, Limitations of Relational Databases (Cont'd), What are NoSQL (Not Only SQL) Databases?, What are NoSQL Databases?, The Past and Present of the NoSQL World, NoSQL Database Properties and Benefits, Use Cases for NoSQL Database Systems, NoSQL Database Storage Types, The CAP Theorem, Mechanisms to Guarantee a Single CAP Property, NoSQL Systems CAP Triangle, Limitations of NoSQL Databases, Mix-and-Match Approach, Big Data Sharding and Example, Google BigTable, BigTable-based Applications and Design, Barriers to Adoption, Dismantling Barriers to Adoption and learning Industry trends, NoSQL Technology Adoption Action Plan

What is HBase?, HBase Design, HBase Master (HMaster), Sparse Data Sets, Regions and Region Servers, HBase Features and Availability, The Write-Ahead Log (WAL) and MemStore, HBase vs RDBS, HBase vs RDBS (Cont'd), Interfacing with HBase, HBase Thrift and REST Gateway, HBase Table Design, Column Families, A Cell's Value Versioning, Timestamps and Accessing Cells, HBase Table Design Digest, The Conceptual View of an HBase Table, HBase Compaction, Loading Data in HBase, Column Families Notes, Cardinality of Column Families, Hotspotting, Rowkey Design Notes and Security, HBase Shell and Shell Command Groups, Creating and Populating a Table Using HBase Shell, Getting a Cell's Value, Counting Rows in an HBase Table, HBase Java Client, HBase Scanners, The Scan Class, The KeyValue Class, The Result Class, Getting Versions of Cell Values Example, The Cell Interface, HBase Java Client Example, Scanning the Table Rows, Dropping a Table, The Bytes Utility Class, Table Schema Main Rules to Follow, Good Use Cases for HBase, Not Good Use Cases for HBase, Business Continuity Caveats

MongoDB, Main Features, MongoDB's Logo, Positioning of MongoDB, The CAP Placement, MongoDB Clients, MongoDB Nexus Architecture, Blending the Best of Both Worlds, What Makes MongoDB Fast?, Pluggable Storage Engines, The BSON Data Format, BSON Caveats, MongoDB Terminology, MongoDB Data Model, MongoDB Data Model (Cont'd), The _id Primary Key Filed Considerations, Indexes, (Traditional) Data Modeling in RDBMS, Data Modeling in MongoDB, An Example of a Data Model in MongoDB, MongoDB Data Modeling, A Sample JSON Document Matching the Schema, To Normalize or Denormalize? Is that a Question?, MongoDB Query Language (QL)

A MongoDB QL Example, Query Syntax is Driver-Specific!, More Client Code Examples, MongoDB Query to SQL Select Comparison, Data Inserts, Data Lifecycle Management, Data Lifecycle Management: TTL and Capped Collections, Data Sharding, Data Replication, GridFS and MongoDB Security, Authentication and Data and Network Encryption, MongoDB Limitations, MongoDB Use Cases

What is Apache Cassandra?, Main Features, Peer-to-Peer (No Master), Wide Column Store NoSQL Databases, Cassandra Model vs Relational Model, Column Families, Columns, Simplified Data Model, The Cap Placement, CQL and Simple Examples, The Update Statement, Update Caveats, Update Statement with TTL and TIMESTAMP Examples, Collections, Example of Using a Set Collection, Using the List Collection, Data Replication, Visualizing Data Replication, The Write Path, Sequential Data Storage Engine, Java Client Code Example, Data Distribution, Native Aggregate Functions, Creating UDFs, HBase vs Apache Cassandra, Cassandra vs MongoDB, Security, WAN-Wide High Availability

The Client – Server Processing Pattern, Apache Hadoop, Typical Hadoop Applications, Hadoop Clusters, Distributions and Main Components, Hadoop Distributed File System (HDFS), HDFS Considerations, Data Blocks, HDFS NameNode Directory Diagram, HDFS Balancing, Accessing HDFS, Examples of HDFS Commands, Other Supported File Systems, YARN, Hadoop-based Systems for Data Analysis, MapReduce, Similarity with SQL Aggregation Operations, MapReduce Word Count Example, Distributed Computing Economics, Discussion: Divide and Conquer, Apache Pig, Pig Latin, Running Pig, Pig Latin Script Example, What is Hive?, Hive's Value Proposition, Who uses Hive?, What Hive Does Not Have, HiveQL, Working with Hive Tables

What is Functional Programming (FP)?, Terminology: Higher-Order Functions, Terminology: Lambda vs Closure, A Short List of Languages that Support FP, FP with Java, FP With JavaScript, Imperative Programming in JavaScript, The JavaScript map (FP) Example, The JavaScript reduce (FP) Example, Using reduce to Flatten an Array of Arrays (FP) Example, The JavaScript filter (FP) Example, Common High-Order Functions in Python, Common High-Order Functions in Scala and Elements of FP in R

What is Apache Spark, A Short History of Spark, Where to Get Spark?, The Spark Platform, Spark Logo, Common Spark Use Cases, Languages Supported by Spark, Running Spark on a Cluster, The Driver Process, Spark Applications, Spark Shell, The spark-submit Tool and Configuration, The Executor and Worker Processes, The Spark Application Architecture, Interfaces with Data Storage Systems, Limitations of Hadoop's MapReduce, Spark vs MapReduce, Spark as an Alternative to Apache Tez, The Resilient Distributed Dataset (RDD), Spark Streaming (Micro-batching), Spark SQL and examples, Spark Machine Learning Library, GraphX, Spark vs R

The Spark Shell, The Spark Shell UI and Options, Getting Help, The Spark Context (sc) and SQL Context (sqlContext), The Shell Spark Context, Loading Files, Saving Files, Basic Spark ETL Operations, Summary

The Resilient Distributed Dataset (RDD), Ways to Create an RDD, Custom RDDs, Supported Data Types, RDD Operations, RDDs are Immutable, Spark Actions, RDD Transformations, Chaining RDD Operations and other RDD Operations, RDD Lineage, The Big Picture, What May Go Wrong, Checkpointing RDDs, Local Checkpointing, Parallelized Collections, More on parallelize() Method, The Pair RDD, Where do I use Pair RDDs?, Example of Creating a Pair RDD with Map, Example of Creating a Pair RDD with keyBy, Miscellaneous Pair RDD Operations, RDD Caching, Persistence and The Tachyon Storage