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SQL Big Data Convergence - The Big Picture
Andrew Brust
Andrew Brust
An investigation into the convergence of relational SQL database technologies from several vendors and Big Data technologies like Apache Hadoop
Read more
An investigation into the convergence of relational SQL database technologies from several vendors and Big Data technologies like Apache Hadoop
Read more
An investigation into the convergence of relational SQL database technologies from several vendors and Big Data technologies like Apache Hadoop
This course explains what Big Data, Hadoop and Massively Parallel Processing (MPP) data warehouse technologies are, and how the latter two are converging technologically. Products from Hadapt, Teradata, ParAccel, Microsoft and Cloudera -- all of which integrate with Apache Hadoop -- are investigated
Register for this course and see more details by visiting:
OpenCourser.com/course/4htyqx/sql
What's inside
Syllabus
Introduction
Concepts and Background
Convergence/Hybridization of Hadoop and MPP
Vendors and Their Approaches
Read more
Syllabus
Introduction
Concepts and Background
Convergence/Hybridization of Hadoop and MPP
Vendors and Their Approaches
Read more
Benefits to You
Strategy: What Should You Do?
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Covers different approaches vendors such as Hadapt, Teradata, ParAccel, Microsoft, and Cloudera take to integrate with Apache Hadoop
Investigates convergence of relational SQL database technology and Big Data technologies
Teaches Massively Parallel Processing (MPP) data warehouse technologies and their convergence with Apache Hadoop
Explores what Big Data, Hadoop, and Massively Parallel Processing (MPP) data warehouse technologies are
Develops knowledge about vendor approaches to Apache Hadoop integrations
Investigates how to integrate Hadoop and MPP technologies
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Activities
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SQL Big Data Convergence - The Big Picture.
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Career center
Learners who complete SQL Big Data Convergence - The Big Picture will develop knowledge and skills
that may be useful to these careers:
MPP Developer
MPP Developer
A MPP Developer designs, develops, and deploys MPP applications. MPP Developers may work with a variety of MPP technologies, including Greenplum, Vertica, and ParAccel. This course may be useful for a MPP Developer who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies. The course can help MPP Developers understand how to use Hadoop and MPP data warehouse technologies to build and deploy MPP applications on large-scale data sets.
Chief Data Officer
Chief Data Officer
A Chief Data Officer (CDO) is responsible for the overall data strategy and governance within an organization. CDOs may work with a variety of data technologies, including relational databases, Big Data technologies, and cloud computing platforms. This course may be useful for a CDO who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies. The course can help CDOs understand how to use Hadoop and MPP data warehouse technologies to build and manage data strategies and governance frameworks on large-scale data sets.
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst designs and implements data governance policies and procedures. Data Governance Analysts may work with a variety of data technologies, including relational databases, Big Data technologies, and cloud computing platforms. This course may be useful for a Data Governance Analyst who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies, and understands how to use the two together. The course can help Data Governance Analysts understand how to use Hadoop and MPP data warehouse technologies to build and implement data governance policies and procedures on large-scale data sets.
Cloud Data Engineer
Cloud Data Engineer
A Cloud Data Engineer designs, builds, and manages cloud data platforms. Cloud Data Engineers may work with a variety of cloud computing platforms, including AWS, Azure, and GCP. This course may be useful for a Cloud Data Engineer who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies, and understands how to use the two together. The course can help Cloud Data Engineers understand how to use Hadoop and MPP data warehouse technologies to build and manage cloud data platforms on large-scale data sets.
Data Integration Engineer
Data Integration Engineer
A Data Integration Engineer designs, develops, and deploys data integration solutions. Data Integration Engineers may work with a variety of data integration technologies, including ETL tools, data virtualization tools, and big data integration tools. This course may be useful for a Data Integration Engineer who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies. The course can help Data Integration Engineers understand how to use Hadoop and MPP data warehouse technologies to build and deploy data integration solutions on large-scale data sets.
Hadoop Developer
Hadoop Developer
A Hadoop Developer designs, develops, and deploys Hadoop applications. Hadoop Developers may work with a variety of Hadoop technologies, including MapReduce, Hive, and Pig. This course may be useful for a Hadoop Developer who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies, and understands how to use the two together. The course can help Hadoop Developers understand how to use Hadoop and MPP data warehouse technologies to build and deploy Hadoop applications on large-scale data sets.
Data Privacy Analyst
Data Privacy Analyst
A Data Privacy Analyst designs and implements data privacy policies and procedures. Data Privacy Analysts may work with a variety of data technologies, including relational databases, Big Data technologies, and cloud computing platforms. This course may be useful for a Data Privacy Analyst who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies. The course can help Data Privacy Analysts understand how to use Hadoop and MPP data warehouse technologies to build and implement data privacy policies and procedures on large-scale data sets.
Big Data Engineer
Big Data Engineer
A Big Data Engineer designs, builds, and manages big data systems. Big Data Engineers may work with a variety of big data technologies, including Hadoop, NoSQL databases, and cloud computing platforms. This course may be useful for a Big Data Engineer who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies. The course can help Big Data Engineers understand how to use Hadoop and MPP data warehouse technologies to build and manage big data systems.
Data Security Analyst
Data Security Analyst
A Data Security Analyst designs and implements data security policies and procedures. Data Security Analysts may work with a variety of data technologies, including relational databases, Big Data technologies, and cloud computing platforms. This course may be useful for a Data Security Analyst who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies. The course can help Data Security Analysts understand how to use Hadoop and MPP data warehouse technologies to build and implement data security policies and procedures on large-scale data sets.
Data Quality Analyst
Data Quality Analyst
A Data Quality Analyst designs and implements data quality policies and procedures. Data Quality Analysts may work with a variety of data technologies, including relational databases, Big Data technologies, and cloud computing platforms. This course may be useful for a Data Quality Analyst who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies. The course can help Data Quality Analysts understand how to use Hadoop and MPP data warehouse technologies to build and implement data quality policies and procedures on large-scale data sets.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. Machine Learning Engineers may work with a variety of data sources, including relational databases, Big Data technologies, and social media data. This course may be useful for a Machine Learning Engineer who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies. The course can help Machine Learning Engineers understand how to use Hadoop and MPP data warehouse technologies to build and deploy machine learning models on large-scale data sets.
Data Scientist
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. Data Scientists may work with a variety of data sources, including relational databases, Big Data technologies, and social media data. This course may be useful for a Data Scientist who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies. The course can help Data Scientists understand how to use Hadoop and MPP data warehouse technologies to extract knowledge and insights from large-scale data sets.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make informed decisions. Data Analysts may work with a variety of data sources, including relational databases, Big Data technologies, and social media data. This course may be useful for a Data Analyst who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies. The course can help Data Analysts understand how to use Hadoop and MPP data warehouse technologies to collect, analyze, and interpret large-scale data sets.
Database Administrator
Database Administrator
A Database Administrator (DBA) manages and maintains the database systems within an organization. This includes installing, configuring, and monitoring databases, as well as performing backups and recoveries. A DBA may also work with developers to design and implement new database solutions. This course may be useful for a DBA who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies. The course can help DBAs understand how to use Hadoop and MPP data warehouse technologies to manage and maintain large-scale data systems.
Data Architect
Data Architect
A Data Architect designs, manages, and implements a data architecture that meets the needs of the business. A Data Architect may also convert business requirements into logical and physical data models. This course may be useful for a Data Architect who wants to learn more about the convergence of relational SQL database technologies and Big Data technologies. The course can help Data Architects understand how to use Hadoop and MPP data warehouse technologies to build and manage data architectures.
For more career information including salaries, visit:
OpenCourser.com/course/4htyqx/sql
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
SQL Big Data Convergence - The Big Picture.
Comprehensive guide to Hadoop, providing a thorough overview of the platform and its components. It is particularly useful for those who are new to Hadoop or who want to deepen their understanding of the technology.
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A practical guide to implementing and managing big data systems using Apache Hadoop and other technologies. It offers insights into data processing, data analysis, and real-time data streaming.
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Provides a practical guide to using Hadoop, covering topics such as data ingestion, data storage, data processing, and data analysis. It valuable resource for those who want to learn how to use Hadoop to solve real-world problems.
A comprehensive book on MongoDB, a popular NoSQL database. It covers the core concepts, features, and uses of MongoDB.
A guide to building data pipelines using Apache Kafka. It covers the architecture, design, and implementation of Kafka-based data pipelines.
Provides a comprehensive overview of SQL performance, covering topics such as query optimization, indexing, and caching. It valuable resource for those who want to learn how to improve the performance of their SQL queries.
Save
Provides a comprehensive overview of SQL tuning, covering topics such as query optimization, indexing, and caching. It valuable resource for those who want to learn how to improve the performance of their SQL queries.
A comprehensive overview of data science and big data analytics. It covers the fundamentals of data science, big data, and data analytics.
A practical guide to using Python for artificial intelligence tasks. It covers data preprocessing, model building, and model evaluation.
Provides a comprehensive overview of PostgreSQL 9.6, covering topics such as data types, tables, queries, and subqueries. It valuable resource for those who want to learn how to use PostgreSQL 9.6 to manage and analyze data.
A practical guide to using Python for deep learning. It covers neural networks, convolutional neural networks, and recurrent neural networks.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/4htyqx/sql
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Time
81 hours
Level
Intermediate
Via
Pluralsight
Instructor
Andrew Brust
Language
English
Good to know
Covers different approaches vendors such as Hadapt, Teradata, ParAccel, Microsoft, and Cloudera take to integrate with Apache Hadoop
Investigates convergence of relational SQL database technology and Big Data technologies
Teaches Massively Parallel Processing (MPP) data warehouse technologies and their convergence with Apache Hadoop
Explores what Big Data, Hadoop, and Massively Parallel Processing (MPP) data warehouse technologies are
Develops knowledge about vendor approaches to Apache Hadoop integrations
Investigates how to integrate Hadoop and MPP technologies
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