Tools for Big Data Analysis and Deep Learning, Tools for Handling Volume, Tools for Handling Variety, Tools for Handling Velocity, Tools for Big Data, Big Data, Data Science, Tools for Reporting and Business Intelligence, Tools for Predictive Analytics and Machine Learning, Frameworks for Deep Learning, Artificial Intelligence Tools, Installing Anaconda, Updating Anaconda, Installing Prospector Static Code Analysis Tool, Installing Jupyter-Matplotlib, Installing Packages in Anaconda, Package Managers, pip, conda
Python Introduction, Why Python is popular?, Why Everyone should consider learning it, Python Standard Libraries, Data-Science Libraries, IPython Interactive Mode, Executing a Python Program Using the IPython Interpreter, Writing and Executing Code in a Jupyter Notebook, HOW BIG IS BIG DATA?, Megabytes (MB), Gigabytes (GB), Terabytes (TB), Petabytes, Exabytes and Zettabytes, Additional Big-Data Stats, Computing Power Over the Years, Data Science and Big Data Are Making a Difference: Use Cases, A Big-Data Mobile Application – Case Study, Google’s Waze GPS navigation app
Introduction to Databases, Apache Hadoop, Apache Spark, IoT, Cloud and Desktop Big-Data Software, Algorithms, Data, Data’s Meaning, Big-Data Sources
elational Databases, Structured Query Language, Creating and connecting to the Database, sqlite3 module, Viewing the Table’s Contents, Entity-Relationship (ER) Diagram, SELECT Queries, WHERE Clause, Pattern Matching: Zero or More Characters, Pattern Matching: Any Character, ORDER BY Clause, Sorting By Multiple Columns, Combining the WHERE and ORDER BY Clauses, Merging Data from Multiple Tables: INNER JOIN, INSERT INTO Statement, UPDATE Statement, DELETE FROM Statement, Closing the Database
NoSQL, NewSQL, NoSQL Key-Value Databases, NoSQL Document Databases, NoSQL Graph Databses, NoSQL Columnar Databases, Comparison of RDBMS, NoSQL and NewSQL
MongoDB JSON Document Database, pymongo, dnspython, Twitter Developer Account, Tweeter API, Creating App,Consumer API Key, API Secret Key, Access Token, Access Token Secret, Tweeter Authentication, OpenMapQuest Geocoding API, MapQuest API Key, MongoDB Atlas Cluster, Creating MongoDB Atlas Cluster, Create Database User, Whitelist IP Address, Network Access, Database Access, Connect to Cluster using Connection String, Generating Connection String, Tweepy for Authentication, Streaming Tweets into MongoDB, Loading Data from Tweeter, Configuring MongoClient, Setting up Tweet Stream, Starting Tweet Stream, TweetListener, Counting Tweets, Display Tweet Counts, Plotting Markers on Location, geopy, Creating Map, Folium Map, Creating a Choropleth, Color the Map, Creating Map Markers, Visualizing Map using folium library, Data Analytics on Big Data
Apache Hadoop, Hadoop Overview, HDFS, MapReduce, YARN, Hadoop Ecosystem, Hadoop Providers, Hadoop 3, Summarizing Word Lengths in Romeo and Juliet via MapReduce, Creating an Apache Hadoop Cluster in Microsoft Azure HDInsight, Creating an HDInsight Hadoop Cluster, Hadoop Streaming, Implementing the Mapper, Implementing the Reducer,Preparing to Run the MapReduce, Copying RomeoAndJuliet into the Hadoop File System, Running the MapReduce Job, Viewing the Word Counts, Deleting Your Cluster So You Do Not Incur Charges
IoT, IoT Issues, Publish and Subscribe, Visualizing a PubNub Sample Live Stream with a Freeboard Dashboard, Signing up for Freeboard io, Creating a New Dashboard, Adding a Data Source, Ad
No Prerequisites. But Some Programming Knowledge will be Good Enough
This course covers following contents in depth
Tools for Big Data Analysis and Deep Learning
Python Introduction Why Python is popular?
Python Libraries for handling Big Data Exploration and Visualization
Introduction to Databases, Apache Hadoop, Apache Spark, IoT
NoSQL, NewSQL Databases
MongoDB JSON Document Database
Microsoft Azure HD Insight
Apache Hadoop, HDFS, MapReduce, YARN
IoT, IoT Issues, Publish and Subscribe Model
This course will be beneficial for the learners we want to start their journey in Big Data domain. They can acquire jobs like Azure Developer, Data Analyst, Data Architect, Cluster Administrator, etc.
Who this course is for:
Beginner Python Developers curious About Big Data Analysis, Data Science, Handling Big Data in IoT
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