The choice of a relational database management system versus a NoSQL solution depends on the problem that needs to be addressed. Often, the data structures used by NoSQL databases are more flexible than relational database tables and, in many cases, they can provide improved access speed and redundancy. Identify the type of database best suited to each scenario. Relational DB Bailey distributes the company database across several servers located in various data centers around the globe to increase availability and resiliency. NOSQL DB Morgan builds tables to hold transaction records for analysis of customer purchase patterns Jody builds a database consisting of data from a a e 10:27 3/7/2 Relational DB company database across several cars located in various ters around the hcrease availabhd resiliency. NoSQL DB Morgan builds tables to hold transaction records for analysis of customer purchase patterns. Jody builds a database consisting of data from a wide variety of sources for big data analysis. As soon as Olivia completes the withdrawal from her bank account at the ATM, the reduced amount available in her bank account is immediately visible to a bank employee accessing Olivia's account information from the home office. After extensive data analysis utilizing new data mining and statistical processing techniques, your team has developed some groundbreaking recommendations for improvements and reorganization within your company. As your team's representative, you're meeting with the advisory board to discuss the data and your recommendations. Board member 1: What's so different about the way you're working with the data now? You: Our older Select v systems stored and processed data quickly and efficiently, but were much more limited in what kinds of data they could use and the kinds of relationships they could discover. Today's systems can examine many more types of data from much larger and more diverse data collections to develop more sophisticated insights for decision-making. Board member 2: So, as I understand it, your recommendations are based on analyzing more data-more kinds of data-not just analyzing the usual data differently? You: Exactly. Instead of looking at a few disparate databases, we combine diverse sets of raw data essentially into one giant Select which different departments can pull from and process in ways that are specific to their needs. The raw data includes business transactions, clickstream data, sensor data, server logs, social media posts, videos customer service call recordings, and many other sources. ID a 10:27 PM 27712021 After extensive data analysis utilizing new data mining and statistical processing techniques, your team has developed some groundbreaking recommendations for improvements and reorganization within your company. As your team's representative, you're meeting with the advisory board to discuss the data and your recommendations. Board member 1: What's so different about the way you're working with the data now? You: Our older Select systems stored and processed data quickly and efficiently, but were much more limited in what kinds of data e kinds of relationships they could discover. Today's systems can examine many more types of data from much larger and ELT se data collections to develop more sophisticated insights for decision-making. they could Select Hadoop WHOOP OLTP Board member 2: So, as I understand it, your recommendations are based on analyzing more data,more kinds of data-not just analyzing the usual data differently Exactly. Instead of looking at a few disparate databases, we combine diverse sets of raw data essentially into one giant Select which different departments can pull from and process in ways that are specific to their needs. The raw data includes business transactions, clickstream data, sensor data, server logs, social media posts, videos, customer service call recordings. and many other sources, a 10:27 PM 3/7/2021 tht, use and the kinds of relationships they discover. Today's systems can examine many more types of data from much larger and more diverse data collections to develop more sophisticated insights for decision-making. Board member 2: So, as I understand it, your recommendations are based on analyzing more datamore kinds of data-not just analyzing the usual data differently? You: Exactly. Instead of looking at a few disparate databases, we combine diverse sets of raw data essentially into one, giant which different departments can pull from and process in ways that are specific to their needs. The raw data transactions, clickstream data, sensor data, server logs, social media posts, videos, customer service call recordings, Select Select data lake data warehouse date mart sata governance urces. Board member 3: That sounds pretty amazing. What kind of technology lets you access all that data in any sort of organized manner? YOU We use the open-source Select framework, which offers several modules to let us choose the tools we need to store and process massive amounts of data. It distributes the data across an entire server farm to create a highly redundant computing environment. Riad was recently placed in charge of a team of data scientists as his company expands their financial services division into a new market. He a 10:28 3/7/20 So, as I understand it, your recommendations are based on analyzing more datamore kinds of data-not just analyzing the usual data differently? You Exactly. Instead of looking at a few disparate databases, we combine diverse sets of raw data essentially into one, giant Select which different departments can pull from and process in ways that are specific to their needs. The raw data includes business transactions, clickstream data, sensor data, server logs, social media posts, videos, customer service call recordings, and many other sources. w Board member 3: That sounds pretty amazing. What kind of technology lets you access all that data in any sort of organized manner? You: We use the open-source Select framework, which offers several modules to let us choose the tools we need to store and process massive amounts of data Select tes the data across an entire server farm to create a highly redundant computing environment. WHOOP Hadoop NoSQL Riad was recently placed in charge of a team of data scientists as his company expands their financial services division into a new market. He has several projects he needs to launch, which requires assigning a task force to each and giving them a sense of direction for each project. 1) a 10:28 PM 3/7/2021