Sign-In
Cart
Data Teams: A Unified Management Model for Successful Data-Focused Teams
Paperback
DatabasesProbability & Statistics
Publisher Price: $49.99
ISBN13: 9781484262276
Publisher: Apress
Published: Sep 19 2020
Pages: 294
Weight: 1.23
Height: 0.67 Width: 7.00 Depth: 10.00
Language: English
Learn how to run successful big data projects, how to resource your teams, and how the teams should work with each other to be cost effective. This book introduces the three teams necessary for successful projects, and what each team does.
Most organizations fail with big data projects and the failure is almost always blamed on the technologies used. To be successful, organizations need to focus on both technology and management.
Making use of data is a team sport. It takes different kinds of people with different skill sets all working together to get things done. In all but the smallest projects, people should be organized into multiple teams to reduce project failure and underperformance.
This book focuses on management. A few years ago, there was little to nothing written or talked about on the management of big data projects or teams. Data Teams shows why management failures are at the root of so many project failures and how to proactively prevent such failures with your project.
What You Will Learn
- Discover the three teams that you will need to be successful with big data
- Understand what a data scientist is and what a data science team does
- Understand what a data engineer is and what a data engineering team does
- Understand what an operations engineer is and what an operations team does
- Know how the teams and titles differ and why you need all three teams
- Recognize the role that the business plays in working with data teams and how the rest of the organization contributes to successful data projects
Who This Book Is For
Management, at all levels, including those who possess some technical ability and are about to embark on a big data project or have already started a big data project. It will be especially helpful for those who have projects whichmay be stuck and they do not know why, or who attended a conference or read about big data and are beginning their due diligence on what it will take to put a project in place.This book is also pertinent for leads or technical architects who are: on a team tasked by the business to figure out what it will take to start a project, in a project that is stuck, or need to determine whether there are non-technical problems affecting their project.
Also in
Databases
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Riccomini, Chris
Kleppmann, Martin
Paperback
Fundamentals of Data Engineering: Plan and Build Robust Data Systems
Housley, Matt
Reis, Joe
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Hardcover
Observability Engineering: Achieving Production Excellence
Majors, Charity
Fong-Jones, Liz
Miranda, George
Paperback
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
Ross, Margy
Kimball, Ralph
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Paperback
Ai-Assisted Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
Gedeck, Peter
Bruce, Peter
Bruce, Andrew
Paperback
Learning Tableau 2025 - Sixth Edition: Leverage Tableau's newest features to revolutionize your data storytelling with AI-enhanced insights
Milligan, Joshua N.
Paperback
The Data Storyteller's Handbook: How to create business impact using data storytelling
Greenbrook, Kat
Paperback
Database Systems: Introduction to Databases and Data Warehouses, Edition 2.0
Vrbsky, Susan
Sharma, Abhishek
Jukic, Nenad
Paperback
Microsoft Power Bi Data Analyst Associate Study Guide: Prepare for the Pl-300 Exam and Use Power Bi Successfully
Turley, Paul
Paperback
SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights
Tanimura, Cathy
Paperback
High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark
Polak, Adi
Warren, Rachel
Karau, Holden
Paperback
Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems
Konieczny, Bartosz
Paperback
Data Engineering for Cybersecurity: Build Secure Data Pipelines with Free and Open-Source Tools
Bonifield, James
Paperback
Mathletics: How Gamblers, Managers, and Fans Use Mathematics in Sports, Second Edition
Nestler, Scott
Pelechrinis, Konstantinos
Winston, Wayne L.
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Paperback
Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Gutman, Alex J.
Goldmeier, Jordan
Paperback
SQL Server 2025 Unveiled: The Ai-Ready Enterprise Database with Microsoft Fabric Integration
Ward, Bob
Paperback
Observability Engineering: Achieving Production Excellence
Miranda, George
Majors, Charity
Fong-Jones, Liz
Paperback
Databricks Certified Data Engineer Associate Study Guide: In-Depth Guidance and Practice
Alhussein, Derar
Paperback
PR Technology, Data and Insights: Igniting a Positive Return on Your Communications Investment
Weiner, Mark
Paperback
Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
Shapira, Gwen
Palino, Todd
Sivaram, Rajini
Paperback
Turning Data into Wisdom: How We Can Collaborate with Data to Change Ourselves, Our Organizations, and Even the World
Hanegan, Kevin
Paperback
Head First Algorithms and Data Structures: A Learner's Guide to the Foundations of Computing
Freeman, Eric
Robson, Elisabeth
Paperback
Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Graesser, Laura
Keng, Wah Loon
Paperback
Product Operations: How successful companies build better products at scale
Perri, Melissa
Tilles, Denise
Paperback
ML and Generative AI in the Data Lakehouse: Building and Deploying AI Applications at Scale
Haelen, Bennie
Paperback
High Performance Python: Practical Performant Programming for Humans
Ozsvald, Ian
Gorelick, Micha
Paperback
Data Contracts: Developing Production-Grade Pipelines at Scale
Schmidt, B. E.
Freeman, Mark
Sanderson, Chad
Paperback
Databricks Data Intelligence Platform: Unlocking the Genai Revolution
Gupta, Nikhil
Yip, Jason
Paperback
Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code
Mauro, Andrea de
Paperback
SQL Cookbook: Query Solutions and Techniques for All SQL Users
Graaf, Robert de
Molinaro, Anthony
Paperback
Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib
Johansson, Robert
Paperback
Data Analytics & Visualization All-In-One for Dummies
Massaron, Luca
Hyman, Jack A.
McFedries, Paul
Paperback
Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python
Molin, Stefanie
Paperback
Kafka for Architects: Event-Driven Architecture, Logs, Microservices, Real-Time Event Processing
Gorshkova, Katya
Paperback
Data Governance with Unity Catalog on Databricks: Implement Data and AI Governance with Databricks Data Intelligence Platform
Sreekumar, Kiran
Subbarao, Karthik
Paperback
Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success
Seiner, Robert
Paperback
Ai-Ready Data Blueprints: From Raw Data to Ai-Driven Innovation
Sopirala, Srikanth
Shukla, Navnit
Pham, Kien
Paperback
The Data Center as a Computer: Designing Warehouse-Scale Machines
Hölzle, Urs
Ranganathan, Parthasarathy
Barroso, Luiz André
Hardcover
Apache Iceberg: The Definitive Guide: Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
Hughes, Jason
Merced, Alex
Shiran, Tomer
Paperback
Learning Ransomware Response & Recovery: Stopping Ransomware One Restore at a Time
Saylor, Michael
Preston, W. Curtis
Paperback
Microsoft Power Bi Visual Calculations: Simplifying Dax
Ter Heerdt, Jeroen
Stikkelorum, Madzy
Lelijveld, Marc
Paperback
SQL Server 2025 Query Performance Tuning: Troubleshoot and Optimize Query Performance
Fritchey, Grant
Paperback
Learning Statistics with Jamovi: A Tutorial for Beginners in Statistical Analysis
Foxcroft, David
Navarro, Danielle
Paperback
Advanced Snowflake: Processing Data, Developing Applications, and Deploying ML Models at Scale
Ullah, Muhammad Fasih
Paperback
Real-Time Intelligence with Microsoft Fabric: Empowering Data-Driven Decisions in the Era of AI
Geisler, Frank
Brattã S. Johan Ludvig
Paperback
iPhone 11 Pro Max Guide: Learn Step-By-Step How To Use Your iPhone Pro Max Step-By-Step
Meyer, Albrecht
Paperback
Fusion Strategy: How Real-Time Data and AI Will Power the Industrial Future
Govindarajan, Vijay
Venkatraman, Venkat
Hardcover
Data Pipelines with Apache Airflow, Second Edition: Orchestration for Data and AI
Geusebroek, Kris
Ruiter, Julian de
Cabral, Ismael
Paperback
Building Data Integration Solutions: Unifying Data for Enhanced Decision Making
Borthen, Jay
Paperback
Apache Hudi: The Definitive Guide: Building Robust, Open, and High-Performing Data Lakehouses
Saktheeswaran, Bhavani Sudha
Xu, Shiyan
Wason, Prashant
Paperback
Diseño de Bases de Datos - Un enfoque práctico: Aprende a diseñar bases de datos desde el modelo conceptual hasta el modelo relacional con esta guía p
Garrido Barrientos, Sergio
Paperback
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us about Who We Really Are
Stephens-Davidowitz, Seth
Paperback
Data Governance Change Management: From Drift to Direction-Why Every Data Leader Needs an ANCHOR
Agrawal, Aakriti
Agrawal, Arvind
Paperback
Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes
Lee, Denny
Wentling, Tristen
Haines, Scott
Paperback
Mastering PostgreSQL 17 - Sixth Edition: Elevate your database skills with advanced deployment, optimization, and security strategies
Schönig, Hans-Jürgen
Paperback
PostgreSQL 16 Administration Cookbook: Solve real-world Database Administration challenges with 180+ practical recipes and best practices
Mejías, Boriss
Angelakos, Jimmy
Ciolli, Gianni
Paperback
Data and Reality: A Timeless Perspective on Perceiving and Managing Information in Our Imprecise World, 3rd Edition
Kent, William
Paperback
Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema
Corr, Lawrence
Stagnitto, Jim
Paperback
Practical Natural Language Processing: A Comprehensive Guide to Building Real-World Nlp Systems
Gupta, Anuj
Vajjala, Sowmya
Majumder, Bodhisattwa
Paperback
Unlocking Dbt: Design and Deploy Transformations in Your Cloud Data Warehouse
Cyr, Cameron
Dorsey, Dustin
Paperback
Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
Eager, Eric A.
Erickson, Richard a.
Paperback
How to Interpret Data: Using Data to Improve Your Influence and Decision-Making
Kelly, Nicholas
Paperback
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Tibshirani, Robert
Friedman, Jerome
Hastie, Trevor
Hardcover
The Data Product Playbook: Designing and Delivering Data Products that Power Decisions, Analytics, and AI
Koenders, Willem
Paperback
Big Data in Der Mobilität: Akteure, Geschäftsmodelle Und Nutzenpotenziale Für Die Welt Von Morgen
Knorre, Susanne
Müller-Peters, Horst
Gatzert, Nadine
Paperback
Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at Scale
Russa, Hélder
Machado, Rui
Paperback
SQL for Data Analytics - Fourth Edition: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
Goldwasser, Matt
Shan, Jun
Li, Haibin
Paperback
Introduction to Statistics: An Intuitive Guide for Analyzing Data and Unlocking Discoveries
Frost, Jim
Hardcover
Data Modeling with Microsoft Power BI: Self-Service and Enterprise Data Warehouse with Power BI
Ehrenmueller-Jensen, Markus
Paperback
Architecting an Apache Iceberg Lakehouse: A Scalable, Open-Source Data Platform
Merced, Alex
Paperback
Apache Polaris: The Definitive Guide: Enriching Apache Iceberg Data Lakehouses with an Open Source Catalog
Merced, Alex
Shiran, Tomer
Madson, Andrew
Paperback
Natural Language Processing with Pytorch: Build Intelligent Language Applications Using Deep Learning
Rao, Delip
McMahan, Brian
Paperback
The Expert's Guide to SQL Server: Tuning, Security, and Cloud Migration
Andiappan, Petchikumar
Pasam, Venkata Reddy
Paperback
Statistics Every Programmer Needs: Practical Python Implementations and Quantitative Methods
Sutton, Gary
Paperback
Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with UNIX Power Tools
Janssens, Jeroen
Paperback
Data Center Critical Facilities Migration from Construction to Operations
K. Tidjani, Yekini
Paperback
Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications
Hueske, Fabian
Kalavri, Vasiliki
Paperback
A Comprehensive Introduction to Python: From the Basics to Data Analytics: From the Basics to Data Analytics
Masloff, Jackie
Paperback
Learn PostgreSQL - Second Edition: Use, manage and build secure and scalable databases with PostgreSQL 16
Pirozzi, Enrico
Ferrari, Luca
Paperback
SQL in a Week: A Fast-Track Guide to Writing and Optimizing Queries Like a Pro
Shah, Bhumika
Dubey, Devtosh
Paperback
SAP S/4hana Financial Accounting Certification Guide: Application Associate Exam
Pougkas, Stefanos
Paperback
From Data to Dollars: Getting Started with Data Analytics and AI in Startups
Sidoruk, Piotr
Paperback
Inteligencia Artificial Con Python: Sistemas de aprendizaje, Machine Learning y Deep Learning explicados de forma clara y práctica.
Selles Rodenas, Juan Ignacio
Paperback
The Elephant in the Fridge: Guided Steps to Data Vault Success through Building Business-Centered Models
Giles, John
Paperback
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
Crickard, Paul
Paperback
Mastering PostgreSQL Administration: Internals, Operations, Monitoring, and Oracle Migration Strategies
Ravi Kumar, Y. V.
Samayam, Arun Kumar
Kadambari, Phani
Paperback
Data Modeling for MongoDB: Building Well-Designed and Supportable MongoDB Databases
Hoberman, Steve
Paperback
SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis
Teate, Renee M. P.
Paperback
Databricks Data Intelligence Platform: Powering the Agentic Era
Gupta, Nikhil
Wojtyczka, Marcin
Yip, Jason
Paperback