9 Part 5: Making Trips to the Data Lake a Tradition Chapter 17: Checking Your GPS: The Data Lake Road Map Getting an Overhead View of the Road to the Data Lake Assessing Your Current State of Data and Analytics Putting Together a Lofty Vision Building Your Data Lake Architecture Deciding on Your Kickoff Activities Expanding Your Data Lake Chapter 18: Booking Future Trips to the Data Lake Searching for the All-in-One Data Lake Spreading Artificial Intelligence Smarts throughout Your Data Lake
10 Part 6: The Part of Tens Chapter 19: Top Ten Reasons to Invest in Building a Data Lake Supporting the Entire Analytics Continuum Bringing Order to Your Analytical Data throughout Your Enterprise Retiring Aging Data Marts Bringing Unfulfilled Analytics Ideas out of Dry Dock Laying a Foundation for Future Analytics Providing a Region for Experimentation Improving Your Master Data Efforts Opening Up New Business Possibilities Keeping Up with the Competition Getting Your Organization Ready for the Next Big Thing Chapter 20: Ten Places to Get Help for Your Data Lake Cloud Provider Professional Services Major Systems Integrators Smaller Systems Integrators Individual Consultants Training Your Internal Staff Industry Analysts Data Lake Bloggers Data Lake Groups and Forums Data-Oriented Associations Academic Resources Chapter 21: Ten Differences between a Data Warehouse and a Data Lake Types of Data Supported Data Volumes Different Internal Data Models Architecture and Topology ETL versus ELT Data Latency Analytical Uses Incorporating New Data Sources User Communities Hosting
11 Index
List of Tables
1 Chapter 1TABLE 1-1 Data Lake Zones
2 Chapter 2TABLE 2-1 Matching Analytics and Business Questions
3 Chapter 9TABLE 9-1 Hospital Data Lake Permissions
4 Chapter 13TABLE 13-1 ADLS Storage Tiers
5 Chapter 15TABLE 15-1 Data Lake Remediation PrioritiesTABLE 15-2 Defining Data Lake Remediation Success
6 Chapter 17TABLE 17-1 Your Five-Phase A LAKE Data Lake Road MapTABLE 17-2 A LAKE Confirmation Loopbacks
List of Illustrations
1 Chapter 1FIGURE 1-1: A logically centralized data lake with underlying physical decentra...FIGURE 1-2: Cloud-based data lake solutions.FIGURE 1-3: Different types of data in your data lake.FIGURE 1-4: Source applications feeding data into your data lake.
2 Chapter 2FIGURE 2-1: The vision of an enterprise data warehouse.FIGURE 2-2: The reality of numerous stand-alone data marts.FIGURE 2-3: Using a data lake to retire data marts.FIGURE 2-4: Leaving a data mart intact and alongside your data lake.FIGURE 2-5: Incorporating a data mart into your data lake.FIGURE 2-6: Migrating your data warehouse into your new data lake.FIGURE 2-7: A data pipeline into, through, and then out of the data lake.FIGURE 2-8: An easy way to understand data pipelines and data lakes.
3 Chapter 3FIGURE 3-1: Playing “find the data lake.”
4 Chapter 4FIGURE 4-1: A reference architecture for data lake reference architectures.FIGURE 4-2: Two classes of inbound data flows for your data lake.FIGURE 4-3: Object storage as the fundamental storage technology for your data ...FIGURE 4-4: Incorporating database technology along with object storage.FIGURE 4-5: Embedding a data warehouse into your data lake environment.FIGURE 4-6: Adding heterogeneity to your data lake’s bronze zone.FIGURE 4-7: Adding heterogeneity to your data lake’s bronze zone.FIGURE 4-8: Incorporating the user layer of a legacy data warehouse into your d...FIGURE 4-9: Subsuming an end-to-end