Word of the Day & Quiz: data lake

Word of the Day: Daily updates on the latest technology terms

Word of the Day & Quiz Daily updates on the latest technology terms | August 18, 2020 data lake Do you speak storage well enough to pass a test on today's Word of the Day: data lake? Take today's Quiz and find out! (Hint: the definition & answers are below)   1. A data lake is characterized by the early ingestion and late processing of __________ data that has never been processed for use.  a. raw b. semi-structured Answer   2. What kind of data does a storage system use to manage unstructured data in a data lake? Hint: the answers means "data that describes other data." Answer 3. Apache __________ is an open source framework that is often associated with data lakes. a. River b. Hadoop Answer   4. The concept of data lakes emerged as an alternative to the traditional data __________ for big data. a. spreadsheet b. warehouse Answer 5. To properly secure a data lake, the administrator should grant the minimum amount of security rights needed for users to perform their work. This approach to security is known as POLP. What does POLP stand for? Answer Eye on Tech Video Just how big is "big data"? Watch to learn what constitutes big data and the purpose of big data in enterprises.   Then we recommend you watch our video definition for data lake and learn the difference between a data lake and a data warehouse. Word of the Day: data lake A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed.   While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data. Each data element in a lake is assigned a unique identifier and tagged with a set of extended metadata tags.   When a business question arises, the data lake can be queried for relevant data, and that smaller set of data (the metadata tags) can then be analyzed to help answer the question. The term data lake is often associated with Hadoop-oriented object storage. Continue reading... Learning Resources Should you host your data lake in the cloud? On premises or in the cloud: What's the better place for your data lake? Here are some things to consider before deciding where to deploy a big data environment. Key factors for successful data lake implementation There are many important parts to a data lake implementation, from technology to governance. Read on for the top factors to evaluate in your implementation strategy. Common data lake challenges and how to overcome them Managing the data contained in your enterprise data lake presents many challenges. From the amount of data to data inconsistencies, here are some solutions to common issues. How to ensure your data lake security Your data lake is full of sensitive information and securing that data is a top priority. These are the best practices to keep that information safe from hackers. Data warehouse vs. data lake vs. data mart: Beyond the RDBMS There are many ways to store big data, but the choice of data warehouse vs. data lake vs. data mart comes down to who uses the data and how. Use this cheat sheet to compare. Pop Quiz Answer Key 1. raw 2. metadata 3. Hadoop 4. warehouse 5. Principle of Least Privilege Stay in Touch Thank you for reading! For feedback about any of our definitions or to suggest a new definition (or learning resource) please contact me at mrouse@techtarget.com FOLLOW US About This E-Newsletter The Word of the Day is published by TechTarget, Inc., 275 Grove Street, Newton, Massachusetts, 02466 US. Click to: Unsubscribe. You are receiving this email because you are a member of TechTarget. When you access content from this email, your information may be shared with the sponsors or future sponsors of that content and with our Partners, see up-to-date Partners List, as described in our Privacy Policy. For additional information, please contact: webmaster@techtarget.com. © 2020 TechTarget, Inc. all rights reserved. Designated trademarks, brands, logos, and service marks are the property of their respective owners. Privacy Policy | Partners List