Big Data Strategies

About us:Big Data Strategies Incis a systems integration and Business Intelligence Solution provider delivering high-performance data centric solutions to power a smarter, faster, and Global enterprise.We are specialized in providing Scalable  Big Data solutions to enterprises, enabling big data smart analytics.
Our project-specific consulting services help your organization to make the IT implementation successful .Our services include Planning, Analysis, Design, Development ,Deployment and Maintenance .Our experienced professionals are available to help you enhance your technology investment with lower IT budgets.
Our cross vendor Platform knowledge will complement project implementation services expertise in Big Data solutions using Hadoop/MapReduce Technologies, ETL tools such as Talend, Pentaho, Informatica , BI tools: Business Objects, Cognos,siperian and,SAS,  IBM Big data solutions using Netezza Appliance, Big data solutions withTeradata.
A tremendous free training opportunity for MS students on: OPT/CPT status, and those on H1-B visa status.
We welcome Green Card holders and US Citizens to take advantage of our program.
Big Data Strategies Inc. Training Courses Agenda :
We are currently training in the following niche skill areas with immediate job placements: 
ETL Domain: Talend ETL with Big Data applicationsAppliances: IBM Netezza Appliance with Big Data IntegrationBig Data Technology domain:
■Cloudera Hadoop technology Stack, ■IBM Big Insights Mode of Training: Online/classroomTraining Locations: Hicksville NY,  Edison NJ
A mandatory, post training orientation program to all the candidates, to assess their technical proficiency,  job readiness/ placements . we also accomodate H1-B VISA transfer/processing for the OPT/CPT candidates.
For More details, please feel free to contact us:
Email: training@bigdatastrategies.comPhone:  609-651-0345Website:  www.bigdatastrategies.com
Big Data Strategies Inc, is a e-Verify registered equal opportunity employer based at Stamford, CT.

Our Training Courses :
Talend ETL tool suite with Big Data Applications ( Data warehousing skills )
Talend Studio Basics:
Course ObjectivesThis course section enables you to use Talend Open studio for Data Integration, it focuses on basic functionality of the studio and how it can be used to design and build reliable data integration tasks to solve practical problems.
Skills Taught
■Develop a Talend project to contain jobs, subjobs, develop a Talend Job to execute a specific functionality/task■Configure and design components to handle input stream data, data transformation, and output stream data, execute Talend Jobs, subjobs and analyze the output results, create a visual model of a Talend Job or project■Creating a new Job by copying an existing Job as the basis, extend data from one source with data extracted from a second source■Log data rows in the console rather than storing them, troubleshoot a join by examining failed lookups■Use components to filter data, generate sample data rows, execute Job sections conditionally■Create variables for component configuration parameters, run a Job to access specific values for the variables, enforce mechanisms to kill a Job under specific circumstances■Add Job elements that change the behavior based on the success or failure of individual components or subjobs, connect to a database from a Talend Job, use a component to create a database table, write to and read from a database table from a Talend Job■Filter unique data rows, perform aggregate calculations on rows, write data to an XML file from a Talend Job, use components to create an archive and delete files, use a Talend component to access a Web Service method, extract specific elements from a Web Service reply, store Web Service access information for use in multiple Jobs, write an XML document to a file■Add comments to document a Job and its components, generate HTML documentation for a Job, export a Job, run an exported Job independently of Talend Open StudioTalend Enterprise Data Integration:Course Objectives
This course section delves into Talend Enterprise Data Integration  rich set of functionalities and highly scalable set of tools to access, integrate data from any business application system in real time mode and batch mode to comply to both operational and analytical data integration needs.
Skills Taught
■Establish connection to a Talend remote Repository■Start Talend Integration Studio with a remote repository connection■Query database contents from within Talend Studio using different mechanisms■Configure a RDBMS  table to be monitored for changes in a separate CDC database■Desigining a Job that uses the contents in a CDC database table to update a master database table with the changes from the monitored database table■How to Configure a Talend project to capture statistics and logs, access the Talend Activity Monitoring Console from within Talend Studio, display the kinds of information available in AMC, configure Talend Studio to identify remote Job Servers, Run a Job from Talend Studio on a remote Job Server■Design a Job to use multi-threaded execution, configure an individual component to use parallel execution■Design a Talend component to run subjobs in parallel, switch between SVN branches in Talend Studio, copy a Job from one branch to another, compare the differences between two versions of the same JobTalend Enterprise Data Integration Administration:Course objectivesThis course is designed for the system administrators responsible for installing and maintaining Talend product suite and focuses on enterprise level integrations support where performance and job deployment become more complex due to complexities associated with the platforms, protocols and multiple users
Skills Taught
■Install Talend Administration Center manually, configure Talend Administration Center, install Talend Studio manually■Install Command Line manually, install the Talend repository manually, install an Execution Server manually■Install the Talend Activity Monitoring Console manually, create a new user with design privileges, create a project, create a project that can be referenced by other projects■Assign user access privileges to projects, create an SVN branch for a given project, create an execution task that runs a Job■Generate, deploy, and run a task as a single operation, generate, deploy, and run a task as three separate operations■Execute a task repeatedly at specified times, configure the TAC Dashboard to access the stored Job monitoring data■List the different aspects of the Dashboard and the information available from each, describe how you would use the information presented in the Dashboard■Run CommandLine to execute a single command, communicate with a running CommandLine interactively using telnet, use CommandLine to execute a script, run CommandLine as a shell to execute multiple commandsTalend Big Data Components:
Course ObjectivesThis course is designed to implement the Talend Studio functionality dealing with HDFS, Hive, Pig and Sqoop
Skill Taught
■Establish connection to Hadoop cluster from using Talend Job, store a raw Web log file to HDFS■Write text data files to HDFS, read text files from HDFS, read data from a SQL database and write it to HDFS■List a folder's contents and operate on each file separately, move, copy, append, delete, and rename HDFS files■Read selected file attributes from HDFS files, conditionally operate on HDFS files, connect to a Hive database from a Talend Job■Use a Talend Job to load data from HDFS into a Hive table, use a Talend Job to read data from a Hive table and use it in a Job, execute Hive commands iteratively in a Talend Job, based on variable inputs■Develop and run Pig Jobs using Talend components, sort, join, and aggregate data using Pig components■Filter data in multiple ways using Pig components, include custom Pig code in a Talend Job, use Talend Pig components with other Talend big data componentsIBM Netezza Appliance Training with Big data applicationsOverview:This training focuses big data concepts by leveraging the IBM Netezza Appliance capabilities along with advanced administration skills needed.
IBM Netezza Features, IBM Netezza Appliance UsageCourse objectivesThis course section portrays detailed overview of IBM NPS version 7.0 features such as: Small query performance enhancements to increase concurrency and throughput, improved support for ODS workload profiles, workload management enchancements to increase throughput and performance and support for analytics, Enhanced event Manager Templates for increased monitoring and  notifications, New capabilities for object maintenance, New and modified system views for improved system management, Upgrade paths and supported platforms.
Skills taught
■Create your own database and manage permissions for users and groups.■Install and learn to use the NzAdmin tool for typical administrative tasks.■Work with and develop effective data distributions.■Manage data loads and transactions.■Generate Statistics to produce optimal query performance.■Analyze query plans of execution.■Understand the usefulness and how to produce efficient zone maps.■Connect to the Netezza system using standard ODBC connections.IBM Netezza Appliance Advanced ConceptsCourse objectivesThis course section is designed to give you  Advanced database administration skills for IBM Netezza Applicance to optimize Netezza appliance performance and tune system parameters, perform query analysis/troubleshooting, optimize data distributions, interact with advance CLI commands, use nzsql and workload management.
Skills taught
■Tune the Netezza Appliance using system parameters■Locate, Understand and glean required information from the system and NZ log files■Develop basic scripts using nzsql■Learn how to manage key events and notify appropriate personnel on critical issues■Analyze performance and identify areas for improvement■Manage workload via prioritization and configuration■Create Stored Procedures■Configure and review query history■Explain the Netezza High Availability Architecture
IBM Netezza Analytics for DevelopersCourse objectivesThis course section will teach you how to develop User Defined Extensions including: User Defined Functions (UDFs), User Defined Aggregates (UDAs), User Defined Table Functions (UDTFs), and User Defined Analytic Processes (UDAPs). You will develop these User Defined Extensions using the Netezza command line utilities to compile and register these in-database analytics. 
Skills taught
■Write a user defined function (UDF) in C++ to extend the capabilities of SQL■Write a user defined aggregate (UDA) in C++ to implement the various phases of aggregate evaluation, such as initialization, accumulation, and merging■Write a user defined table function (UDTF) in C++ enabling you to process one/many rows to return a table shape composed of many rows/columns■Manage user defined functions, aggregates and table functions and shared libraries (e.g., granting permissions)■Write a user defined analytic process (UDAP) in Java to extend the capabilities of SQL and run an analytic out-of-process. Additionally, be aware that UDAPs can be developed in other programmatic languages■Know the features of the Netezza Plug-in for Eclipse
Big Data Courses:  Big data: Hadoop Develper Training
Skills Taught:
■Detailed preview of Hadoop Technology Stack■The internals of HDFS and MapReduce working together■Hands on approach to develop MapReduce programs/applications■Hands on approach to unit test MapReduce programs/applications■Hands on approach to use MapReduce combiners, partitioners and the distributed cache mechanism■Best practices approach in developing and debugging MapReduce programs/applications■Hands on approach to implement data input and output in MapReduce programs/applications■Implementation of algorithms for common MapReduce tasks■Hands on approach to join data sets in MapReduce■Understanding of how Hadoop integrates into the data center■Hands on approach to Hive and Pig to leverage in rapid application development■Hands on approach to create large workflows using OozieBig Data: Hadoop Administrator Training
Skills Taught
■Hadoop Distributed File System and MapReduce, how they interplay■Details of hardware configurations that are optimal for Hadoop clusters■The network details and considerations to take into account when building the Hadoop cluster■Configuring Hadoop environment for best cluster performance■Configuring NameNode High Availability options■Configuring NameNode Federation servers■Configuring the FairScheduler to provide service-level agreements for multiple users of a cluster■Installation and implementation of Kerberos-based security for your cluster■Maintaining and monitoring of Hadoop cluster■Hands on approach to load data into the cluster from dynamically-generated files using Flume and from relational database management systems using Sqoop■Different types system administration issues that exist with other Hadoop projects such as Hive, Pig and HBase
Big Data Analyst Training:
Skills Taught:
■The fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with Hadoop tools■Analyzing disparate data sets with pig by Joining multiple data sets .■Organizing data into tables, performing transformations, and simplifying complex queries with Hive■Performing real-time interactive analyses on massive data sets stored in HDFS or HBase using SQL with Impala■How to pick the best analysis tool for a given task in Hadoop