Data mining

For many organizations, Hadoop is the first step for dealing with massive amounts of data.

Until recently, many people thought big data was a passing fad.

Until recently, many people thought big data was a passing fad.

Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to todays data science applications.

Data Science is booming thanks to R and Python, but Java brings the robustness, convenience, and ability to scale critical to todays data science applications.

If youre a business team leader, CIO, business analyst, or developer interested in how Apache Hadoop and Apache HBase-related technologies can address problems involving large-scale data in cost-effective ways, this book is for you.

If youre a business team leader, CIO, business analyst, or developer interested in how Apache Hadoop and Apache HBase-related technologies can address problems involving large-scale data in cost-effective ways, this book is for you.

You have a mound of data front of you and a suite of computation tools at your disposal.

You have a mound of data front of you and a suite of computation tools at your disposal.

The Oracle SQLPlus Pocket Reference is a must-have for anyone working with Oracle databases, especially those looking to maximize the effectiveness of SQLPlus.

Gain the confidence you need to apply machine learning in your daily work.

Apache Spark is amazing when everything clicks.

Apache Spark is amazing when everything clicks.

Introduced a quarter-century ago, the Oracle database remains the leading enterprise relational database management system (RDBMS) in the world.

Gain the confidence you need to apply machine learning in your daily work.

Finding patterns in massive event streams can be difficult, but learning how to find them doesnt have to be.

Finding patterns in massive event streams can be difficult, but learning how to find them doesnt have to be.

Its much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet.

Its much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet.

What do you need to become a data-driven organization?

What do you need to become a data-driven organization?

HBase is a remarkable tool for indexing mass volumes of data, but getting started with this distributed database and its ecosystem can be daunting.

HBase is a remarkable tool for indexing mass volumes of data, but getting started with this distributed database and its ecosystem can be daunting.

The W3C XQuery 3.

The W3C XQuery 3.

Ready to use statistical and machine-learning techniques across large data sets?

Ready to use statistical and machine-learning techniques across large data sets?

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework.

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework.

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data.

This quick Julia programming language guide is a condensed code and syntax reference to the Julia 1.

Implement the Snowflake Data Cloud using best practices and reap the benefits of scalability and low-cost from the industry-leading, cloud-based, data warehousing platform.

Collect and analyze sensor and usage data from Internet of Things applications with Microsoft Azure IoT Suite.

Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming language to build a robust service for anomaly detection against a variety of data types.

Master the tricks and techniques of business analytics consulting, specifically applicable to small-to-medium businesses (SMEs).

Implement the Snowflake Data Cloud using best practices and reap the benefits of scalability and low-cost from the industry-leading, cloud-based, data warehousing platform.

Understand the different access control paradigms available in the Snowflake Data Cloud and learn how to implement access control in support of data privacy and compliance with regulations such as GDPR, APPI, CCPA, and SOX.

Learn to use the jOOQ library to manage SQL database operations in Java and JVM applications.

Leverage Apache Spark within a modern data engineering ecosystem.

Understand the essentials of the Snowflake Database and the overall Snowflake Data Cloud.

Childhood learning is now more screen-based than ever before, and app developers are flocking in droves to this lucrative and exciting market.

Learn to automate SQL Server operations using frameworks built from metadata-driven stored procedures and SQL Server Integration Services (SSIS).

Design for large-scale, high-performance queries using Snowflake's query processing engine to empower data consumers with timely, comprehensive, and secure access to data.

"e;It's a joy to read a book by a mathematician who knows how to write.

Use popular data mining techniques in Microsoft Excel to better understand machine learning methods.

Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables.

Discover how to use the popular RStudio IDE as a professional tool that includes code refactoring support, debugging, and Git version control integration.

This quick Julia programming language guide is a condensed code and syntax reference to the Julia 1.

Google Data Studio is becoming a go-to tool in the analytics community.

Artificial intelligence touches nearly every part of your day.