BIG DATA: High-Performance Training & Implementation Solutions

MANAGE THE COMPLEXITY OF YOUR BIG DATA FOR BUSINESS GAINS By Creating Alignment Between People, Organizational Processes & Technology

PEOPLE

PROCESS/ POLICY

TECHNOLOGY

A Holistic Approach to Optimize Your Workforce

Comprehensive Big Data Learning Paths

High-Performance Training & Implementation Solutions

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IMPROVE, ACCELERATE, AND INTEGRATE. DATA MEANS INSIGHT. AND INSIGHT MEANS ADVANTAGE.

$65 Million

$300 Billion

The amount of additional net income for a typical Fortune 1000 company from just a 10% increase in data accessibility.

Estimates suggest that by better integrating big data, healthcare could save as much as $300 billion a year.

— Baseline Mag

12% Most companies estimate they're analyzing a mere 12% of the data they have. — Forrester

— Wikibon Blog

Optimize Your Workforce for Successful Big Data Implementation by Creating Alignment Between People, Processes & Technology

PEOPLE

PROCESS/POLICY

TECHNOLOGY

Trained, skilled people are the foundation of any successful big data implementation, as well as a clear, up-to-date understanding of job roles. A holistic big data training approach increases task-specific and organizational skills and competencies.

Developing and executing policies to help processes and interpret large sets of data is imperative to any big data implementation. Your team must have readily understood, clearly defined processes in place to ensure consistency and more informed insight.

While software is a critical part of any data-driven business strategy, it’s only as good as the people and processes applying it. Learning Tree offers hands-on advice through subject matter experts to help you and your team evaluate and utilize existing and new applications to make the most of Big Data.

Learning Tree’s Big Data Training

Learn the tools and techniques you need to leverage Big Data for business success Our Big Data training curriculum will teach your team how to create data-driven business strategies, and store, manage, process, and analyze large data sets. We provide training in Hadoop, MapReduce, Cassandra, Apache Spark, and MongoDB.

A HOLISTIC APPROACH TO OPTIMIZE YOUR WORKFORCE DEFINE

Organizational Structure, Processes & Job Roles

ENHANCE

Knowledge, Skills & Abilities (KSAs)

ASSESS/MAP Knowledge, Skills & Abilities (KSAs)

› Driven by your ultimate data goals, determine your current data ecosystem, obstacles, and needs

› Take a needs-based

approach to analyzing, defining, and adjusting roles and responsibilities to align with your overall data strategy

BIG DATA ACCELERATION WORKSHOPS

›

 reate a clear business C plan that establishes the goals and vision of your big data implementation

IMPLEMENT

Process & Organizational Improvements

› Develop a customized

big data curriculum with individual learning plans to meet the needs of your staff and organization’s overall big data strategy

› Determine the

Knowledge, Skills, and Abilities (KSAs) of your existing staff, and identify skill gaps using automated skills assessments

› Direct the training,

› Set the stage to align

the KSAs of your workforce to your immediate, short-term, and long-term strategic big data goals

•E  valuate and select appropriate big data tools and frameworks that reflect the needs of your organization •M  anage the resources of your big data platform to match the needs and priorities of your organization •C  reate data pipelines to load, clean, filter, and analyze both structured and unstructured data

coaching, and mentoring of your staff to support your big data goals from the top down

› Enhance, tweak, and

coach with embedded expert instructors to help apply new skills

› Rapidly increase

the process maturity of your big data staff with customized Accelerations Workshops

Learning Tree’s Comprehensive Big Data Learning

According to Information Week, Big Data Analytics will be a $203 billion market by 2020 – and we’ll help you Learning Tree’s Big Data experts have designed role-specific learning paths that provide each member of you with the knowledge and skills to implement, manage, and enhance your organization’s Big Data environment These courses are available for On-Demand training

KNOWLEDGE AREA

FOUNDATION } Introduction to Big Data Course 1250

Project Managers & IT Managers

}B  ig Data Insights, Technologies & Trends Course 4500

} T ableau: Presenting Analytic Visualizations Course 1256

}B  ig Data Insights, Technologies & Trends Course 4500

Database Administrators & Data Architects Data Storage: Big Data Architecture, Clusters, Data Hygiene, Reporting, Tuning

Developers & SQL Developers Data Computation: Hadoop, Spark, CQL, HiveQL

} T ableau: Presenting Analytic Visualizations Course 1256

}D  ata Center Application Centric Infrastructure Fundamentals (DCACIF v3.1) Training Course 2820

} Hadoop Architecture & Administration for Big Data Solutions Course 1252 }B  uilding Apache Cassandra Databases Course 1260 } Building Enterprise Solutions with MongoDB Course 1261

} E xcel Data Analysis Training Course 195 } Amazon Web Services (AWS) Training Course 1205 }A  mazon Web Services (AWS) Training Course 1205 }D  esigning Cisco Data Center Infrastructure (DCID v6.2) Training Course 1617 } T roubleshooting Cisco Data Center Infrastructure (DCIT v6.2) Training Course 1619

} Introducing Cisco Data Center Technologies (DCICT v6.2) Training Course 2852

} Introduction to Big Data Course 1250

} J ava Programming Introduction Course 471

}H  adoop Programming with Java for Big Data Solutions Course 1251

} Building Enterprise Solutions with MongoDB Course 1261

} SQL Programming Language Introduction Course 925

}A  pache Spark Programming with Scala for Big Data Solutions Course 1262

} Extracting Business Value From Big Data With Pig and Hive Course 1254

} Building Apache Cassandra Databases Course 1260

}A  mazon Web Services (AWS) Training Course 1205

} E xtracting Business Value from Big Data with Pig, Hive & Impala Course 1254

} Analyzing Data with Power BI (20778) Course 8430

}B  ig Data Insights, Technologies & Trends Course 4500 } Tableau: Presenting Analytic Visualizations Course 1256

} Big Data Insights, Technologies & Trends Course 4500

Data Analytics: Trends, Data Mining, Machine Learning, KPIs, Problem Solving

} Introduction to SQL Programming Training Course 925

}B  uilding Enterprise Solutions with MongoDB Course 1261

}R  elational Databases Design, Tools & Techniques Course 382

} Introduction to Big Data Course 1250

Data Scientists & Business Intelligence

}H  adoop Architecture & Administration for Big Data Solutions Course 1252 }B  uilding Apache Cassandra Databases Course 1260

Data Strategy: Evaluate, Implement, Skills Gaps, Stories } Introduction to Big Data Course 1250

INTERMEDIATE

} Tableau: Presenting Analytic Visualizations Course 1256 } Python Programming Introduction Course 1905

} Introduction to R for Data Analytics Course 5045 } Introduction to Python for Data Analytics Course 4509

}D  esigning Business Intelligence Solutions with Microsoft SQL Server 2014 (20467) Course 8469

}B  uilding Apache Cassandra Databases Course 1260

} Beginning Data Science with Python and Jupyter Course 1263

}B  uilding Enterprise Solutions with MongoDB Course 1261

}S  QL Server Reporting Services: Analyzing Data with SSRS (10990) Course 8431

} Power Excel: Analyzing Data to Make Business Decisions Course 195 } Amazon Web Services (AWS) Course 1205

}P  erforming Big Data Engineering on Microsoft Cloud Services (20776A) Course 8492 }P  erform Data Engineering on Microsoft HDInsight Training (20775) Course 8491 } Analyzing Big Data with Microsoft R (20773) Course 8489 }P  erform Cloud Data Science with Azure Machine Learning Training (20774) Course 8490 } Big Data on AWS Training Course 1694

TO LEARN MORE, VISIT LEARNINGTREE.COM/BIGDATA OR CALL 1-800-843-8733

Paths

FEATURED EXPERT INSTRUCTORS:

Real-World Practitioners in Big Data Analysis

u be prepared. ur workforce t.

BILL APPELBE, PH.D.

ITS Architect, Advanced Computing Consultant, Learning Tree Author and Instructor ADVANCED

} Introduction to Data Science, Machine Learning & AI Course 1253 }P  ower Pivot for Excel: Mining Data for Business Intelligence Course 1362 } Introduction to Data Science for Big Data Analytics Course 1253 }P  ower Pivot for Excel: Mining Data for Business Intelligence Course 1362

} Introduction to Data Science for Big Data Analytics Course 1253

} Critical Thinking & Creative Problem Solving Course 284 } Preparing for TOGAF® Certification Course 1803

}C  ritical Thinking & Creative Problem Solving Course 284 } Preparing for TOGAF® Certification Course 1803

Bill has over three decades of experience in Advanced Computing (HPC, Cloud, and Big Data), as well as the R&D sector — including academia, industry, governance, and corporate management. Career highlights include: • Founding CEO of Compute Canada and VPAC (the Victorian Partnership for Advanced Computing) • Leadership roles in Advanced Computing organizations, including: Cybera, AutoCRC, and the NSF Center for Computational Infrastructure in Geodynamics • Author of over 50 refereed publications and supervisor of a dozen Ph.D. candidates • Consulted and contracted for industry and research agencies, such as: The Bank of Canada, Los Alamos National Labs, IBM, HP, Oracle/Sun, IntelSat, and the University of Alberta

“

— J.G. Wallace, Emeritus Professor, Director, and Chair of the Board Victorian Program in Advanced Computing (VPAC)

} Critical Thinking & Creative Problem Solving Course 284

CHRIS MAWATA, PH.D.

}P  ower Pivot for Excel: Mining Data for Business Intelligence Course 1362

} Introduction to Data Science for Big Data Analytics Course 1253 } Power Pivot for Excel: Mining Data for Business Intelligence Course 1362

Bill’s outstanding achievements in both roles are evidenced in VPAC’s success in meeting the high performance computing needs of Victoria’s universities and major commercial clients. It has provided a model for the strategies adopted by the other States, and Bill’s personal input has been sought by many national and international organizations."

Pure Mathematics Teacher, Published Writer, Learning Tree Author and Instructor }C  ritical Thinking & Creative Problem Solving Course 284 } Advanced Tableau Training Course 1257

Chris has over 30 years of IT experience, 17 years of teaching at the university level, and 15 years of training Java and Big Data programmers. As a consultant, he runs a 20-node cluster on which he has several Big Data frameworks installed. He has published peer-reviewed papers in image processing, artificial intelligence, and pure mathematics. Chris also: • Authored four of Learning Tree’s Big Data courses, and acted as technical editor for two • He also wrote "RootViz" which was a 2007 R&D 100 Award Winner, and rated as one of the 100 most technologically significant products introduced into the marketplace in the prior year • Created the graph theory program “Petersen”, housed in the Amazon cloud and used by universities all over the world

“

I have worked closely with Dr. Mawata since 2006. We call on him to help with our most difficult software challenges. His knowledge is deep, yet his interactions are at a simple-to-understand level. He quickly identifies problems and bottlenecks, and comes up with quick fixes and work-arounds. He is prolific and always exceeds expectations in accuracy and speed." — D. McDonald, President and Co-Founder Phenotype Screening Corporation

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serving our global customer footprint and averaging 20+ years of diverse real-world experience

in offering end-to-end proven capabilities to provide all facets of Workforce Optimization resulting in improved organizational alignment

US1904 BigDataBR

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