• Big Data Analytics Course Online NYC


     

    Data Analytics Course Online NYC offers industry-relevant training for those seeking to boost their career prospects. These classes offer project-oriented learning with a focus on real-world application.

    Noble affiliates NYC Career Centers, NYIM Training, and Practical Programming all have current course listings in Data Analytics. Looking more visit https://seniordigital.us/bigdata.

    Introduction to Big Data

    Big Data is an important term in IT that refers to the collection and analysis of large amounts of data. Its volume, variety, and rapid accumulation have made it a major focus for businesses.

    This introductory course covers the definition of Big Data, limitations of traditional solutions to Data Analytics challenges, how Hadoop solves those challenges, anatomy of writing and reading files, Hadoop Ecosystem tools, Hadoop Architecture, HDFS, and more.

    Hadoop Ecosystem

    The Hadoop Ecosystem includes various parts of the Apache Hadoop software library, including MapReduce, HDFS, YARN and many more. All of these open-source projects are licensed by the Apache Software Foundation and work together to handle large sets of data.

    The Hadoop ecosystem stores data across a cluster of commodity computers using the Hadoop Distributed File System (HDFS). It also provides the MapReduce programming model for handling big data.

    MapReduce

    MapReduce is a Java-based framework within the Hadoop ecosystem that allows users to perform parallel processing on large datasets. It consists of two main functions, Map and Reduce, which can be applied to a single data set to produce a variety of outputs.

    In the Map phase, data is split into chunks and transformed into key/value pairs. Each of these tuples is then assigned to a worker node that processes it in parallel.

    Spark

    Spark is an open-source framework that provides a parallel processing engine for big data analytic applications. It's fast, easy to use, and offers sophisticated solutions for data analysis.

    It uses the Random Access Memory (RAM) of a cluster to process large volumes of data faster than MapReduce does. This in-memory distributed computation capability makes it an ideal choice for machine learning and graph algorithms.

    It also comes with MLlib, a scalable machine learning library that lets you model and analyze large sets of data in a distributed environment. It's available in Python and Scala.

    HBase

    BigData refers to massive data collection from various formats and sources. It is an asset that can be used in a variety of applications.

    HBase is a non-relational database that provides real-time read/write access to large datasets. It is the high-performance, distributed data store built for Apache Hadoop.

    Developed with robust Java API for client access, HBase is easy to set up and manage. It also has automatic and configurable sharding of tables.

    Hive

    Hive is a data warehouse solution created by Facebook and built on top of Hadoop’s Distributed File System (HFDS). It allows clients to query and analyze HDFS files as if they were relational tables.

    Like Hadoop, Hive is designed to handle large volumes of data. It’s also scalable and simple to use. However, it requires SQL skills and prior work with large datasets.

    Pig

    Typically used with Hadoop, Apache Pig is an abstraction over MapReduce that allows programmers to use functions written in a scripting language called Pig Latin.

    In this course, you will learn to write data transformations in Pig. Its easy-to-use syntax and advanced constructs such as nested foreach make it the perfect tool for analyzing large sets of data represented as data flows.

    This course is perfect for software engineers and database administrators who want to learn Big Data and its related tools. It also includes a hands-on use case project that gives you the chance to practice your new skills and gain real-world experience.

    Oozie

    Big data is a huge buzzword in the tech world and a hot job search item at the moment. SeniorDigital has a plethora of training programs to help you get the big data certification you need to succeed in the industry.

    Our Big Data Course Online NYC is packed with hands-on and lab based exercises, so you’ll be ready to take your career to the next level in no time. Learn more about our Big Data Course by visiting our website or signing up for a free demo today!

    Sqoop & Flume

    Sqoop is an ETL (Extract, Transform, Load) tool that can be used to move data from data warehouses to Hadoop. It works with relational databases including Teradata, Oracle, MySQL and PostgreSQL.

    Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of streaming data into the Hadoop Distributed File System (HDFS). It has a simple and flexible architecture based on streaming data flows and is robust and fault-tolerant with tunable reliability mechanisms.