Dan Sullivan
Author
Publisher
linkedin.com
Pub. Date
2017.
Language
English
Description
Learn about the architecture of Cassandra—a popular NoSQL database capable of handling large amounts of fast-changing data—and discover how to design Cassandra data models.
Apache Cassandra is a NoSQL database capable of handling large amounts of data that change rapidly. In this course, learn about the architecture of this popular database, and discover how to design Cassandra data models that support scalable applications. Dan Sullivan highlights...
Author
Publisher
linkedin.com
Pub. Date
2020.
Language
English
Description
Get a holistic overview of the essential elements of designing and implementing highly scalable and available relational databases.
Online activities, mobile devices, and Internet of Things (IoT) sensors are generating immense volumes of data. Much of that data requires relational database capabilities, such as consistent reads/writes and complex transaction processing. In this course, get a holistic overview of the essential elements of designing...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Learn how to use design patterns for scalable architecture and tools such as services and containers to deploy machine learning at scale.
Machine learning models often run in complex production environments that can adapt to the ebb and flow of big data. The tools and practices that help data scientists rapidly build machine learning models are not sufficient to deploy those models at scale. To deliver scalable solutions, you need a whole new toolset....
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn how to analyze query execution plans and use data modeling strategies to boost query performance.
SQL queries can be fast and highly efficient, but they can also be slow and demand excessive CPU and memory resources. For many SQL programmers, occasional bouts with long-running queries and poor performance are simply par for the course. But by gaining a better understanding of how databases translate SQL queries into execution plans, you can...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Learn the principles of supporting DevOps and how to apply them to data science.
Data scientists create data models that need to run in production environments. Many DevOps practices are relevant to production-oriented data science applications, but these practices are often overlooked in data science training. In addition, data science and machine learning have distinct requirements, such as the need to revise models while in use. This course was...
Author
Publisher
linkedin.com
Pub. Date
2017.
Language
English
Description
This advanced course provides instruction for how to work with SQL databases. Learn how to work with relational databases, including how to find, extract, and prepare data.
There is an increasing need for data scientists and analysts to understand relational data stores. Organizations have long used SQL databases to store transactional data as well as business intelligence related data. If you need to work with SQL databases, this course is designed...
Author
Publisher
linkedin.com
Pub. Date
2017.
Language
English
Description
Use Scala in your data science work. Explore the Scala features most useful to data scientists, including custom functions, parallel processing, and programming Spark with Scala.
Discover how to leverage Scala—the popular language that combines object-oriented design with functional programming—in your data science work. In this course, learn about the Scala features most useful to data scientists, including custom functions, parallel processing,...
Author
Publisher
linkedin.com
Pub. Date
2021.
Language
English
Description
Dive into one of the most important data science tools: SQL. Learn how to use joins and subqueries, statistical functions, window functions, and much more.
There is an increasing need for data scientists and analysts to understand relational data stores. Organizations have long used SQL databases to store transactional data as well as business intelligence related data. This course was designed for data scientists who need to work with SQL databases....
Author
Publisher
linkedin.com
Pub. Date
2017.
Language
English
Description
Discover the powerful Apache Spark platform for machine learning. Learn about preprocessing data, applying algorithms to a variety of machine learning problems, and more.
Apache Spark is one of the most widely used and supported open-source tools for machine learning and big data. In this course, discover how to work with this powerful platform for machine learning. Instructor Dan Sullivan discusses MLlib—the Spark machine learning library—which...
Author
Publisher
linkedin.com
Pub. Date
2023.
Language
English
Description
Learn how to analyze query execution plans and use data modeling strategies to boost query performance.
SQL queries can be fast and highly efficient, but they can also be slow and demand excessive CPU and memory resources. For many SQL programmers, occasional bouts with long-running queries and poor performance are simply par for the course. But by gaining a better understanding of how databases translate SQL queries into execution plans, you can...
Author
Publisher
linkedin.com
Pub. Date
2020.
Language
English
Description
Build scalable and resilient databases to support any application. Learn how to write optimized SQL, use indexes, partition data, and use established design patterns.
Many applications require a relational database. But poorly designed data architecture and poorly written SQL can result in subpar performance, unreliable services, and difficulty scaling. This course includes hands-on examples and lessons that show how to build scalable and resilient...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Learn how to use SQL to understand the characteristics of data sets destined for data science and machine learning.
Learn how to use SQL to understand the characteristics of data sets destined for data science and machine learning. The course begins with an introduction to exploratory data analysis and how it differs from hypothesis-driven statistical analysis. Instructor Dan Sullivan explains how SQL queries and statistical calculations, and visualization...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn about DataFrames, a widely used data structure in Apache Spark. Discover how to manipulate and analyze distributed data with the DataFrames API and SQL.
Explore DataFrames, a widely used data structure in Apache Spark. DataFrames allow Spark developers to perform common data operations, such as filtering and aggregation, as well as advanced data analysis on large collections of distributed data. With the addition of Spark SQL, developers have...
Author
Publisher
linkedin.com
Pub. Date
2017.
Language
English
Description
Explore the fundamentals of NoSQL. Learn the differences between NoSQL and traditional relational databases, discover how to perform common data science tasks with NoSQL, and more.
Many organizations are turning to NoSQL databases to store large volumes of complex data, sparking an increased need for data scientists and analysts to understand non-relational data stores. If you're a data scientist or business analyst who needs to work with NoSQL,...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn how to model time series data and apply advanced analysis techniques using SQL.
Time series data is data gathered over time: performance metrics, user interactions, and information collected by sensors. Since different time series data have different measures and different intervals, these data present a unique challenge for data scientists. However, SQL has some features designed to help. This course teaches you how to standardize and model...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Learn how to use SQL for descriptive statistics: to summarize data sets, derive insights, and make predictions.
Descriptive statistics help us understand the overall structure of data, and SQL is the most widely used language for manipulating it. Together, they can help data analysts derive better insights and make far-reaching predictions. This course provides an overview of basic descriptive statistics and the SQL commands you need to know to summarize...
Author
Publisher
linkedin.com
Pub. Date
2022.
Language
English
Description
Learn about the basics of designing data models in the latest release of Cassandra, the popular NoSQL database capable of handling large amounts of fast-changing data.
Cassandra is a NoSQL database capable of handling large amounts of data that change rapidly. In this course, instructor Dan Sullivan teaches you about the architecture of this popular database and how to design Cassandra data models that support scalable applications in the latest...
Author
Publisher
linkedin.com
Pub. Date
2021.
Language
English
Description
Learn advanced techniques for analyzing large data sets with SQL. Find out how to build sophisticated data models, optimize queries, extend SQL with user-defined functions, and more.
Many data scientists know how to work with SQL—the industry-standard language for data analysis. But as data sizes grow, you need to know how to do more than simply read and write from a database. This course provides a more sophisticated approach to designing data...
Author
Publisher
Books on Tape
Pub. Date
2022
Language
English
Description
An expansive, moving poetry anthology, representing 20 years of poetry from students and alumni of Chicago's Oak Park River Forest High School Spoken Word Club.
"Poets I know sometimes joke that the poetry club at Oak Park River Forest High School is the best MFA program in the Chicagoland area. Like all great jokes, this one is dead serious." -Eve L. Ewing, award-winning poet, playwright, scholar, and sociologist
For Chicago's...
"Poets I know sometimes joke that the poetry club at Oak Park River Forest High School is the best MFA program in the Chicagoland area. Like all great jokes, this one is dead serious." -Eve L. Ewing, award-winning poet, playwright, scholar, and sociologist
For Chicago's...