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Learning Airtable: Building Database-Driven Applications with No-Code

Posted By: First1
Learning Airtable: Building Database-Driven Applications with No-Code

Learning Airtable: Building Database-Driven Applications with No-Code by Elliott Adams
English | January 16th, 2024 | ISBN: 1098133374 | 379 pages | True EPUB | 19.30 MB

Get a concise yet comprehensive overview of Airtable, one of the most versatile platforms to emerge from the no-code movement. Whether you're planning a new project, sharing data analysis within your organization, tracking a detailed initiative among stakeholders, or dealing with any other project that requires well-structured collaboration, this practical book shows you how Airtable is an accessible tool to tackle these challenges.

Computational Biology: Unix/Linux, Data Processing and Programming

Posted By: AvaxGenius
Computational Biology: Unix/Linux, Data Processing and Programming

Computational Biology: Unix/Linux, Data Processing and Programming by Röbbe Wünschiers
English | PDF (True) | 2004 | 291 Pages | ISBN : 354021142X | 2.8 MB

A shift in culture Only a decade ago, the ?rst thing a molecular biologist would have had to learn when he or she started the lab work was how to handle pipettes, extract DNA, useenzymesandcloneagene. Now,the?rstthing thatheorsheshould learn is how to handle databases and to extract all the information that is already known about the gene that he or she wants to study. In all likelihood, he or she will ?nd that the gene has already been sequenced from several organisms, that it was recovered in a variety of EST projects, that expression data are available from microarray and SAGE studies, that it was included in linkage studies, that proteomics data are rapidly accumulating, that lists of interacting proteins are being compiled, that domain structure data are available and that it is part of a network of genetic interactions which is intensively modelled. He or she will discover that all this information resides in many di?erent databases with di?erent data formats and with di?erent levels of analyses and linking. Starting to work on this gene will make sense only, if all this information is put together in a project-speci?c manner and set into the context of what is known about related genes and processes. At this point he or she may decide to walk up to the bioinformatics group in house and ask for help with arranging the data in a useful manner.

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter, 3rd Edition

Posted By: First1
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter, 3rd Edition

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter, 3rd Edition by Wes McKinney
English | September 20th, 2022 | ISBN: 109810403X | 579 pages | True EPUB (Retail Copy) | 6.22 MB

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.

Excel 2022 for Beginners: The Comprehensive Step-by-Step Guide from Beginner to Advanced

Posted By: First1
Excel 2022 for Beginners: The Comprehensive Step-by-Step Guide from Beginner to Advanced

Excel 2022 for Beginners: The Comprehensive Step-by-Step Guide from Beginner to Advanced. Discover Simple Excel Tips, Tricks and Hacks to Master Every Essential Function, Formula, Tool and Shortcut to Become an Excel Expert by Clayton McKinney
English | April 11th, 2022 | ISBN: 9791221320442 | 98 pages | True EPUB | 0.83 MB

Do you want to perfect your Microsoft Excel abilities and become more efficient in your daily work life? Do you want to effectively manage your business or do you want to land your dream position in a job that requires a high level of Excel proficiency? If your answer is yes, then this is the right Microsoft Excel guide for you!

Advancement of Data Processing Methods for Artificial and Computing Intelligence

Posted By: hill0
Advancement of Data Processing Methods for Artificial and Computing Intelligence

Advancement of Data Processing Methods for Artificial and Computing Intelligence
English | 2024 | ISBN: 8770040176 | 431 Pages | PDF (True) | 42 MB

Fundamentals of Business Process Management (Repost)

Posted By: AvaxGenius
Fundamentals of Business Process Management (Repost)

Fundamentals of Business Process Management by Marlon Dumas , Marcello La Rosa , Jan Mendling , Hajo A. Reijers
English | EPUB (True) | 2013 | 414 Pages | ISBN : 3642331424 | 4.8 MB

Business Process Management (BPM) is the art and science of how work should be performed in an organization in order to ensure consistent outputs and to take advantage of improvement opportunities, e.g. reducing costs, execution times or error rates. Importantly, BPM is not about improving the way individual activities are performed, but rather about managing entire chains of events, activities and decisions that ultimately produce added value for an organization and its customers.

Databricks Certified Data Engineer Associate Cert Prep: 3 Incremental Data Processing

Posted By: lucky_aut
Databricks Certified Data Engineer Associate Cert Prep: 3 Incremental Data Processing

Databricks Certified Data Engineer Associate Cert Prep: 3 Incremental Data Processing
Released: 1/24/2024
Duration: 28m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 55.3 MB
Genre: eLearning | Language: English

Stream Data Processing: A Quality of Service Perspective

Posted By: AvaxGenius
Stream Data Processing: A Quality of Service Perspective

Stream Data Processing: A Quality of Service Perspective: Modeling, Scheduling, Load Shedding, and Complex Event Processing by Qingchun Jiang , Sharma Chakravarthy
English | PDF (True) | 2009 | 341 Pages | ISBN : 0387710027 | 9.7 MB

In recent years, a new class of applications has come to the forefront { p- marily due to the advancement in our ability to collect data from multitudes of devices, and process them e ciently. These include homeland security - plications, sensor/pervasive computing applications, various kinds of mo- toring applications, and even traditional applications belonging to nancial, computer network management, and telecommunication domains. These - plications need to process data continuously (and as long as data is available) from one or more sources. The sequence of data items continuously gen- ated by sources is termed a data stream. Because of the possible never-ending nature of a data stream, the amount of data to be processed is likely to be unbounded. In addition, timely detection of interesting changes or patterns or aggregations over incoming data is critical for many of these applications. Furthermore, the data arrival rates may uctuate over a period of time and may be bursty at times. For most of these applications, Quality of Service (or QoS) requirements, such as response time, memory usage, and throughput are extremely important. These application requirements make it infeasible to simply load the incoming data streams into a persistent store and process them e ectively using currently available database management techniques.

Automating Data Quality Monitoring at Scale

Posted By: First1
Automating Data Quality Monitoring at Scale

Automating Data Quality Monitoring at Scale by Jeremy Stanley, Paige Schwartz
English | February 13th, 2024 | ISBN: 1098145933 | 170 pages | True EPUB | 8.77 MB

The world's businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of data—used to build products, power AI systems, and drive business decisions—is poor quality or just plain bad? This practical book shows you how to ensure that the data your organization relies on contains only high-quality records.

Tidy Modeling with R: A Framework for Modeling in the Tidyverse

Posted By: First1
Tidy Modeling with R: A Framework for Modeling in the Tidyverse

Tidy Modeling with R: A Framework for Modeling in the Tidyverse by Max Kuhn, Julia Silge
English | August 16th, 2022 | ISBN: 1492096482 | 381 pages | True EPUB (Retail Copy) | 9.33 MB

Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible approach for your work.

Cassandra: The Definitive Guide: Distributed Data at Web Scale, 3rd Edition

Posted By: First1
Cassandra: The Definitive Guide: Distributed Data at Web Scale, 3rd Edition

Cassandra: The Definitive Guide: Distributed Data at Web Scale, 3rd Edition by Jeff Carpenter, Eben Hewitt
English | May 15th, 2020 | ISBN: 1098115163 | 429 pages | True PDF | 12.52 MB

Imagine what you could do if scalability wasn't a problem. With this hands-on guide, you'll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This third edition—updated for Cassandra 4.0—provides the technical details and practical examples you need to put this database to work in a production environment.

Learning Airtable: Building Database-Driven Applications with No-Code

Posted By: First1
Learning Airtable: Building Database-Driven Applications with No-Code

Learning Airtable: Building Database-Driven Applications with No-Code by Elliott Adams
English | January 16th, 2024 | ISBN: 1098133374 | 382 pages | True PDF | 21.09 MB

Get a concise yet comprehensive overview of Airtable, one of the most versatile platforms to emerge from the no-code movement. Whether you're planning a new project, sharing data analysis within your organization, tracking a detailed initiative among stakeholders, or dealing with any other project that requires well-structured collaboration, this practical book shows you how Airtable is an accessible tool to tackle these challenges.

Mastering Data Processing with PySpark in Databricks

Posted By: IrGens
Mastering Data Processing with PySpark in Databricks

Mastering Data Processing with PySpark in Databricks
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 5h 11m | 2.2 GB
Instructor: Gustavo R Santos

Leveraging Parallel Streams for Fast Data Processing in Java

Posted By: IrGens
Leveraging Parallel Streams for Fast Data Processing in Java

Leveraging Parallel Streams for Fast Data Processing in Java
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 12m | 1.19 GB
Instructor: Jose Paumard

Interactive Data Processing and 3D Visualization of the Solid Earth (Repost)

Posted By: DZ123
Interactive Data Processing and 3D Visualization of the Solid Earth (Repost)

Daniel Patel, "Interactive Data Processing and 3D Visualization of the Solid Earth"
English | 2021 | ISBN: 3030907155, 303090718X | PDF | pages: 359 | 13.5 mb