"Embedded systems are the devices used to control, monitor or assist the operation of equipment, machinery or plant. "Embedded" reflects the fact that they are an integral part of the system". In many cases, their "embedded ness" may be such that their presence is far from obvious to the casual observer.
The Java Embedded Training is designed to prepare graduates to design and develop java applications on embedded devices with Java SE Embedded and Java ME Embedded development SDK using a variety of programming languages such as C, C++ and Java, on the Linux ...
Episteme's YEP is an assisted learning to help young engineering graduates to get better at what they do professionally and to bridge the gap between engineering education and industry . We accomplish this by organizing workshops, mini and major projects and internships...
Our rich experienced Directors and faculty members train the students to the core and our embedded labs will give you the best development environment which simulates to MNC's. Embedded trainees at EPISTEME are provided an opportunity to be involved in development of products...
Big Data and Hadoop ETL Webmap Data loading SSH MR Splits Combiner Partitioner COGROUP Diagnostic UDF Metastore Buckets Scripts RDBMS Web Console Hadoop Developer Hadoop Analytics Core Java Hadoop, Hadoop Cluster, Hadoop 2.0, Flume, Sqoop, Map-Reduce, PIG, Hive, Hbase, Zookeeper, Oozie, Big Data, YARN, HDFS, NameNode, DataNode, MRunit, PIG, PIG Latin, Grunt, Pig scripting, NoSQL, Zookeeper, Hbase, MRv2, Apache, Oozie, Cluster, Apache, Big Data Analytics, Frameworks.
Hadoop Administration NameNode, Replication pipeline, pseudo-distributed mode, Monitoring, Troubleshooting, distcp, rack awareness, whitelist, blacklist, Quorum Journal Manager (QJM), Kerberos, Ganglia Hadoop, Hadoop Cluster, MapReduce, Hive, Hbase, Oozie, Big Data, YARN, HDFS, Grunt, Pig scripting, NoSQL, Hbase, Apache Oozie, Hcatalog, DataNode, High Availability, Administration, Cluster Setup, Performance, Big Data Analytics, System Engineering.
Data Warehousing RDBMS, SQL, Talend, subject oriented, integrated, non-volatile and time variant, Integrated, Current, Volatile, Detailed, Schema, Metadata, Dimension modelling, ER Diagram, Data Validation, Data Accuracy, Data Type Conversion, Business Rule Application Data warehouse, Datamarts, OLTP, OLAP, ODS, Snowflake, Galaxy, Star, ETL, mysql, database, Business Intelligence.
PMP Exam Preparation PMBOK, Portfolio Management, Project Management Office (PMO), Triple Constraints, Stakeholder Management, Organization Structure, Process Groups, Project Scope Management Processes, Collect Requirements, Define Scope, Create WBS, Verify Scope, Control Scope, Activities, Resources, Duration, PDU Project management, project integration, project scope, project time, project manager, project team, project plan, project cost, project quality, project human resource management, communication, risk, procurement, stakeholder management, risk analysis, Project Management.
Java/J2EE and SOA Threads, Exception Handling, XMLHandling, DOM, SOA, Loops, Polymorphism, Encapsulation, ArrayList, Vector, HashSet, TreeSet, HashMap, HashTable, Applet, Java.lang, Java.io, Java.util, XSL, AOP, JAX-WS, UDDI, SOAP Java, J2ee,SOA, Byte codes ,Data Handling, constructors, Inheritance, Multi-threading, Interfaces, Collections, Applet, XML, SAX parser, JDBC, Servlets, JSP ,Hibernate ,Spring ,HQL, Ajax, MVC , DTO, DAO, Core Java, Advanced Java, Programming, System & Architecture, Frameworks.
Mastering Python Web Scraping Object oriented programming Java NET Virtual machines Interpreter Path Strings Literals Operators Expressions String Formatting Lists Tuples Sorting Exception Sys Module STDIO Initializers Inheritance Debugging Beautifulsoup Python, Pig, Hive, PyDoop, pandas, scikit, numpy scipy, Hadoop, UNIX, Mrjob, MapReduce, IMDB, Lambda Functions, Zipped Archives, SQLite 3, CRUD Operations, Matplotlib, Pandas, kNN, Scikit-Learn, Numpy, Scipy, Big Data Analytics, Programming.
Apache Spark and Scala REPL, Mlib, GraphX, Enumerations, Traits, Recursion, Tail Calls, SparkSQL, Mlib, Accumulators, Real time analytics Apache, Spark, Scala, mixins, Hadoop, Big data, Shark, spark shell, RDD, Big Data Analytics, Programming.
Business Analytics with R Predictive Analysis Forecasting social network analytics text mining seq() cbind() rbind() merge() str() class() length() nrow() ncol() head() tail() grepl() grep() sub() apply() functions Data Cleaning ODBC Exploratory Data Analysis(EDA) Data Visualization Regression Anova Entropy Statistics R-Studio Business Analytics, R, CRAN Views, RBloggers, Github. SAP Hana with R, IBM Netezza with R, R Community, SAS7BDAT, rjsonio, stringr, plyr, SEMMA, CRISPDM and KDD, GUI RATTLE., gvlma, ROCR packages, p values, Analytics, Business Data Analytics.