|Application fee:||15.5 USD|
|Certification Body:||Aegis School of Data Science|
|Location:||On-campus (India, Mumbai, Pune, Bangalore)|
|Course fee:||620 USD|
|Total course fee:||731.6 USD|
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Machine Learning and mathematical algorithms have emerged as the missing piece needed to complement Hadoop to achieve faster time to value. IBM BigInsights for Hadoop puts the full range of analytics for Hadoop into the hands of Data Science teams. Learn more about how Hadoop supports Data Scientists
Data science teams leverage tools such as SQL, R, Python, and SPSS to find data and build models quickly and easily.
IBM offers BigInsights Analyst and Data Scientist modules to meet the needs of data scientists and business analysts. IBM BigInsight Analyst features our world class SQL engine and our simple to use Sheets with Dashboards to explore and summarize data insights quickly. IBM BigInsights Data Scientist has all of the features of Analyst as well as distributed R support for all of the CRAN packages, machine learning, text and Geospatial analytics.
Machine learning enables building of analytic models that learn from data. Machine learning in the world of big data, huge data sets, needs the ability to apply complex algorithms in a cost effective way.
IBM BigInsights introduces machine learning with the addition of text analytics, geospatial analytics and distributed R. IBM machine learning is the only declarative language frameworks of its kind with a cost-based optimizer to automatically tune the performance over large-scale data.
Software Engineer - Big Data
Big Data Engineer
Big Data Software Architect
IBM InfoSphere BigInsights Developer/ Architect
IBM InfoSphere Information Server Administrator
Advanced Analytics Analyst
Big Data Analyst
Fraud Analytics Manger
IBM® BigInsights for Apache™ Hadoop® collects and economically stores a very large set of highly variable data. IBM BigInsights enhances open source Hadoop with the complete set of capabilities to query, visualize, explore data and conduct distributed machine learning at scale resulting in deeper insight and better actions.
IBM InfoSphere BigInsights brings the power of Hadoop to the enterprise. Apache™ Hadoop® is the open source software framework, used to reliably manage large volumes of structured and unstructured data.
InfoSphere BigInsights Enterprise Grade Hadoop empowers enterprises of all sizes to cost effectively manage and analyze big data – the massive volume, variety and velocity of data that consumers and businesses create every day. InfoSphere BigInsights helps increase operational efficiency by modernizing your data warehouse environment as query-able archive, allowing you to store and analyze large volumes of multi-structured data without straining the data warehouse.
IBM BigInsights extends the core components of Hadoop for improved usability. Enterprise-scale features from IBM are added to deliver massive scale-out data processing and analysis with built-in resiliency and fault tolerance. Simplified administration and management capabilities, rich developer tools and powerful analytic functions reduce the complexity of Hadoop.
IBM Open Platform with Apache Hadoop builds the platform for big data projects and provides the most current Apache Hadoop open source content.
IBM is a platinum founding member of this shared industry initiative focused on accelerating enterprise Apache Hadoop® innovation.
It’s based on open standards
Includes a foundation of standard open-source Hadoop and includes the rich open-source components that Hadoop users expect.
Includes several optional enterprise-grade features that users can choose to implement to accelerate the value of Hadoop.
Machine Learning and mathematical algorithms have emerged as the missing piece needed to complement Hadoop to achieve faster time to value. IBM BigInsights for Hadoop puts the full range of analytics for Hadoop into the hands of Data Science teams.
This course is designed to aid business analysts who are working with IBM's InfoSphere BigInsights. Writing programs that extract data from unstructured text can be a daunting task. The student will learn how to create annotators through the use of IBM's Annotation Query Language (AQL). Analyzing data using Apache's Hadoop requires that map / reduce programs be written. People familiar with the Hadoop technology are aware of other open source products that are used in this environment. This course will give the student an overview of Apache Pig, ZooKeeper, and Map / Reduce and other Big Data components.
Pre-requisites: A programming background would be advantageous especially knowledge of SQL
Part 1: InfoSphere BigInsights Basics
1. Customer Video on Business Transformation
2. Introduction to InfoSphere Big Insight : Classroom Session
3. IBM Case Study and Customer Video
4. Introduction to Big Insights Analytics for Business Analysts : Classroom Session
5. Importing Data to InfoSphere BigInsights : Classroom Session
6. BigSheets Workflow : Classroom Session
7. Big Sheets Collections : Classroom Session
8. Lab Exercise 1 : Creating BigSheets Collection by uploading a file
9. Lab Exercise 2: Creating Collections by using Applications to gather Data
9. Customer Video on Business Transformation
Part 2: Working with InfoSphere BigInsights
10. Big Sheets Navigation : Clasroom Session
11. Working with Big Sheets Collections : Classroom Session
12. Big Sheets Readers & Extensions : Classroom Session
13. Lab Exercise 3: Analyzing a Big Sheets Collection
14. Lab Exercise 4: Combining Data to create a new Collection
15. Lab Exercise 5: Visualizing Data in Graphical Form & Exporting Data from a Big
Lab Exercise 6: Installing BigSheets Plug in
Please send your Resume to firstname.lastname@example.org
Get in Touch with Ritin Joshi at +91 9022137010 or Sachin Khare +91 9819008153