Data techno jobs gota

BIG DATA COURSE IN ATS!!! You Will Learn How To: · Unleash the power of Big Data for competitive advantage · Select and apply the correct Big Data stores for disparate data sets · Leverage Hadoop to process large data sets to benefit decisions · Query large data sets in near real-time · Integrate components of the Hadoop EcoSystem to form a coherent business solution · Who Should Attend: · Anyone, including managers, programmers, architects and administrators, who wants a foundational overview · of the key components of Big Data and how they can be integrated to provide suitable solutions for their · organization. No programming experience is required. Programmers should be aware that the exercises in · this course are intended to give attendees high-level exposure to the capabilities of the Big Data technologies, · and not a deep dive. Hands-On Experience Includes: · Integrating key Big Data components to create a Big Data platform · Loading unstructured data into Hadoop Distributed File System · Querying Hadoop MapReduce jobs using Hive · Simplifying Big Data processing and communicating with Pig Latin · Extracting value in real-time with Impala · Implementing a targeted Big Data strategy Contact: Banu - Accent Techno Soft #203,Nehru street,Ramnagar, Gandhipuram,Coimbatore-

Unleash the power of Big Data for competitive advantage ·         Select and apply the correct Big Data stores for disparate data sets ·         Leverage Hadoop to process large data sets to benefit decisions ·         Query large data sets in near real-time ·        Integrate components of the Hadoop EcoSystem to form a coherent business solution Who Should Attend: ·         Anyone, including managers, programmers, architects and administrators, who wants a foundational overview of the key components of Big Data and how they can be integrated to provide suitable solutions for their organization. No programming experience is required. Programmers should be aware that the exercises in this course are intended to give attendees high-level exposure to the capabilities of the Big Data technologies,and not a deep dive. Hands-On Experience Includes: ·         Integrating key Big Data components to create a Big Data platform ·         Loading unstructured data into Hadoop Distributed File System ·         Querying Hadoop MapReduce jobs using Hive ·         Simplifying Big Data processing and communicating with Pig Latin ·         Extracting value in real-time with Impala ·         Implementing a targeted Big Data strategy Contact: Uthra - Accent Techno Soft (ATS) #203,Nehru street,Ramnagar, Gandhipuram,Coimbatore- Landmark: Near cross cut Kannan departmental store

·         Unleash the power of Big Data for competitive advantage ·         Select and apply the correct Big Data stores for disparate data sets ·         Leverage Hadoop to process large data sets to benefit decisions ·         Query large data sets in near real-time ·        Integrate components of the Hadoop EcoSystem to form a coherent business solution Who Should Attend: ·         Anyone, including managers, programmers, architects and administrators, who wants a foundational overview of the key components of Big Data and how they can be integrated to provide suitable solutions for their organization. No programming experience is required. Programmers should be aware that the exercises in this course are intended to give attendees high-level exposure to the capabilities of the Big Data technologies,and not a deep dive. Hands-On Experience Includes: ·         Integrating key Big Data components to create a Big Data platform ·         Loading unstructured data into Hadoop Distributed File System ·         Querying Hadoop MapReduce jobs using Hive ·         Simplifying Big Data processing and communicating with Pig Latin ·         Extracting value in real-time with Impala ·         Implementing a targeted Big Data strategy Contact: Pushpalatha-9786978625 Accent Techno Soft (ATS) #203,Nehru street,Ramnagar, Gandhipuram,Coimbatore-641009 Landmark: Near cross cut Kannan departmental store When you call, don't forget to mention that you found this ad on .