Nosql, Big Information, Together With Spark Foundations Specialization

Work with NoSQL databases to insert, update, delete, query, index, aggregate, in addition to shard/partitioning data.

Develop hands-on NoSQL experience working alongside MongoDB, Apache Cassandra, and IBM Cloudant.

Develop foundational cognition of Big Data in addition to gain hands-on lab experience using Apache Hadoop, MapReduce,  Apache Spark, Spark SQL, as well as Kubernetes.

Perform Extract, Transform too Load (ETL) processing as well as Machine Learning model grooming in addition to deployment alongside Apache Spark.

Big Data Engineers and professionals alongside NoSQL skills are highly sought later inwards the information management industry. This Specialization is designed for those seeking to develop primal skills for working with Big Data, Apache Spark, and NoSQL databases. Three information-packed courses comprehend pop NoSQL databases similar MongoDB in addition to Apache Cassandra,  the widely used Apache Hadoop ecosystem of Big Data tools, also as Apache Spark analytics engine for big-scale data processing.

You commencement with an overview of diverse categories of NoSQL (Not solely SQL) data repositories, too and so work hands-on alongside several of them including IBM Cloudant, MonogoDB as well as Cassandra. You’ll perform diverse information direction tasks, such equally creating & replicating databases, inserting, updating, deleting, querying, indexing, aggregating & sharding information. Next, you’ll make primal cognition of Big Data technologies such every bit Hadoop, MapReduce, HDFS, Hive, too HBase, followed past a more than inward depth working noesis of Apache  Spark, Spark Dataframes, Spark SQL, PySpark, the Spark Application UI, together with scaling Spark alongside Kubernetes. In the last course, yous will learn to function amongst Spark Structured Streaming  Spark ML - for performing Extract, Transform in addition to Load processing (ETL) as well as motorcar learning tasks. 

This specialization is suitable for beginners inward the fields of NoSQL and Big Data – whether y'all are or preparing to live a Data Engineer, Software Developer, IT Architect, Data Scientist, or information technology Manager.   

The emphasis inwards this specialization is on learning past doing. As such, each form includes hands-on labs to do & apply the NoSQL together with Big Data skills you learn during lectures. 

In the kickoff form, yous will operate hands-on alongside several NoSQL databases- MongoDB, Apache Cassandra, and IBM Cloudant to perform a multifariousness of tasks: creating the database, adding documents, querying information, utilizing the HTTP API, performing Create, Read, Update & Delete (CRUD) operations, limiting & sorting records, indexing, aggregation, replication, using CQL shell, keyspace operations, & other tabular array operations.

In the next class, you lot’ll launch a Hadoop cluster using Docker and go Map Reduce jobs. You’ll

explore working amongst Spark using Jupyter notebooks on a Python marrow. You’ll build your Spark skills using DataFrames,  Spark SQL, in addition to scale your jobs using Kubernetes. 

In the final grade y'all will function Spark for ETL processing,  in addition to Machine Learning model training as well as deployment using IBM Watson.