Databases Books

Studienarbeit aus dem Jahr 2020 im Fachbereich Medien / Kommunikation - Public Relations, Werbung, Marketing, Social Media, Note: 2,3, Rheinische Fachhochschule Köln, Sprache: Deutsch, Abstract: Welche Technologien durch die Digitalisierung, speziell zur...

Cut through the noise and get real results with a step-by-step approach to data scienceKey Features:Ideal for the data science beginner who is getting started for the first timeA data science tutorial with step-by-step exercises and activities that help...

Gain a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineeringKey Features- Discover how analytics engineering aligns with your organization's data strategy- Access insights shared...

Leverage the powerful tools in Esri's ArcGIS Pro to perform geospatial analysisKey FeaturesHarness the power of ArcGIS Pro to build informative maps showcasing your GIS dataAnalyze geospatial data through proximity, spatial statistics, and hotspot...

Unlock the full potential of Elastic Stack for search, analytics, security, and observability and manage substantial data workloads in both on-premise and cloud environmentsKey Features:- Explore the diverse capabilities of the Elastic Stack through a...

From fundamental techniques to advanced strategies for handling big data, visualization, and more, this book equips you with skills to excel in real-world data analysis projects.Key Features:- This book targets features in pandas 2.x and beyond-...

Master MATLAB tools for creating machine learning applications through effective code writing, guided by practical examples showcasing the versatility of machine learning in real-world applicationsKey FeaturesWork with the MATLAB Machine Learning Toolbox...

Develop your data science skills with Apache Spark to solve real-world problems for Fortune 500 companies using scalable algorithms on large cloud computing clustersKey Features:- Apply techniques to analyze big data and uncover valuable insights for...

The American Statistical Association (ASA) and the Association of Computing Machinery (ACM) have longstanding ethical practice standards that are explicitly intended to be utilized by all who use statistical practices or computing, or both...

Ethical Practice of Statistics and Data Science is intended to prepare people to fully assume their responsibilities to practice statistics and data science ethically. Aimed at early career professionals, practitioners, and mentors or supervisors of...

Design and build solutions with the most powerful document database, MongoDBKey Features:Learn from the experts about every new feature in MongoDB 6 and 5Develop applications and administer clusters using MongoDB on premise or in the cloudExplore...

Take your Python text processing skills to another level by learning about the latest natural language processing and machine learning techniques with this full color guideKey Features:Learn how to acquire and process textual data and visualize the key...

Learn how to implement successful Azure Data projects and get the skills to clear the DP-900 certification exam with the help of mock tests and self-assessment scenarios for better preparationKey Features:Get the knowledge you need to pass the DP-900...

Explore supercharged machine learning techniques to take care of your data laundry loadsKey Features:Learn how to prepare data for machine learning processesUnderstand which algorithms are based on prediction objectives and the properties of the...

Gain the key knowledge and skills required to manage data science projects using CometKey Features:Discover techniques to build, monitor, and optimize your data science projectsMove from prototyping to production using Comet and DevOps toolsGet to grips...

Learn data architecture essentials and prepare for the Salesforce Certified Data Architect exam with the help of tips and mock test questionsKey Features:Leverage data modelling, Salesforce database design, and techniques for effective data designLearn...

Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLPKey Features:- Explore quick prototyping with up-to-date Python libraries to create...

Apply data storytelling concepts and analytical thinking to create dashboards and reports in Google Data Studio to aid data-driven decision makingKey Features:Gain a solid understanding of data visualization principles and learn to apply them...

Explore common and not-so-common data transformation scenarios and solutions to become well-versed with Tableau Prep and create efficient and powerful data pipelinesKey Features:Combine, clean, and shape data for analysis using self-service data...

This practical guide to the DPO role encompasses the key activities you'll need to manage to succeed as a DPO. Coverage includes data protection fundamentals and processes, understanding risk and relevant standards, frameworks and tools, with DPO tips...

The application of statistics has proliferated in recent years and has become increasingly relevant across numerous fields of study. With the advent of new technologies, its availability has opened into a wider range of users. Comparative Approaches to...

In recent years, mobile technology and the internet of objects have been used in mobile networks to meet new technical demands. Emerging needs have centered on data storage, computation, and low latency management in potentially smart cities, transport,...

Unstructured data is the most voluminous form of data in the world, and several elements are critical for any advanced analytics practitioner leveraging SAS software to effectively address the challenge of deriving value from that data. This book covers...

As the size of multimedia databases grows, retrieval becomes a key challenge in multimedia database management. Accordingly, it is necessary to apply machine learning techniques to automatically tune the mechanism of multimedia retrieval systems. Machine...

The modern world is fraught with risk, from natural disasters and terrorist attacks, to financial crises and pandemics. Assessing and planning for these risks can be done with a conventional human-based approach but this often requires large amounts of...

Organizations are rapidly shifting the way that individuals conceptualize, participate, and engage in work. A significant change is how organizations are coordinating, arranging, and organizing the activities of their employees for the accomplishments of...

The trend in scientific, as well as commercial, applications from a diverse range of fields has been towards being more and more data-intensive over time. Data Intensive Distributed Computing: Challenges and Solutions for Large-scale Information...

E-government research has flourished as a way of disseminating information and providing services to citizens ever since the popularization of the Internet. Although there have been tremendous advancements in the world of e-government, critical...