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. 0 a care 7:11: 3/7. Relational DB Bailey distributes the compa vase across sever located in various ters 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 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. 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 CA 7:19 PM 3/7/2021 different about the way you're working ne data now? You: Our older Select systems stored and processed data quickly and efficiently, but were much more limited in what kinds of data they could Select e kinds of relationships they could discover. Today's systems can examine many more types of data from much Hadoop larger and ELT 'se data collections to develop more sophisticated insights for decision-making. 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? 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. 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. a 7:19 PM 3/7/2021 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 Select ransactions, clickstream data, sensor data, server logs, social media posts, videos, customer service call recordings, data lake data warehouse urces. data mart data governance 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 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. The Marketing Dept needs to maximize consumer interest in the company's new financial services by sending marketing emails, targeted ads. and texts at prescribed intervals throughout the initial process of attracting and building a relationship with a customer. Riad's team has a large amount of data from previous marketing campaigns that they can analyze to develop a recommended schedule, taking into account a large variety of factors about different types of customers. What kind of technique will this task force need to employ in order to make these recommendations? 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. IMDB Hadoop NOSOL 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. The Marketing Dept. needs to maximize consumer interest in the company's new financial services by sending marketing emails, targeted ads, and texts at prescribed intervals throughout the initial process of attr ting and building a relationship with a customer. Riad's team has a large amount of data from previous marketing campaigns that they can analyze to develop a recommended schedule, taking into account a large variety of factors about different types of customers. What kind of technique will this task force need to employ in order to make these recommendations? O a. Predictae analytics b. Descriptive analytics O c Optimization d. Simulation 7:20 PM >> O d. Simulation The Marketing Dept. adds another layer of data analysis to the new project . They'd like to know what follow-up strategies tend to be most effective for customers in specific age and income brackets. They highlight two particular points along the where they most need research-based guidance. Select To complete these tasks. Riad's team will need to pull more information and insights from their existing data sets. What analytics tool will help them explore this data to identify patterns they can use to make predictions about which strategies will work best for each identified population? a. Data mining b. Time series analysis c. Linear programming d. Genetic algorithm Checle Ny Work Icon kes a e 7:20 PM 3/7/2021 O d. Simulation The Marketing Dept, adds another layer of data analysis to the new project. They'd like to know what follow-up strategies tend to be most effective for customers in specific age and income brackets. They highlight two particular points along the Select where they most need research-based guidance. Select word cloud Monte Carlo simulation CRISP-DM conversion funnel liad's team will need to pull more information and insights from their existing data sets. What analytics tool will help them explore this data to identify patterns they can use to make predictions about which strategies will work best for each identified population? a. Data mining b. Time series analysis O Linear programming O d. Genetic algorithm Check Work Oleon ko II 7:20 PM 3/7/2021 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. 0 a care 7:11: 3/7. Relational DB Bailey distributes the compa vase across sever located in various ters 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 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. 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 CA 7:19 PM 3/7/2021 different about the way you're working ne data now? You: Our older Select systems stored and processed data quickly and efficiently, but were much more limited in what kinds of data they could Select e kinds of relationships they could discover. Today's systems can examine many more types of data from much Hadoop larger and ELT 'se data collections to develop more sophisticated insights for decision-making. 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? 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. 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. a 7:19 PM 3/7/2021 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 Select ransactions, clickstream data, sensor data, server logs, social media posts, videos, customer service call recordings, data lake data warehouse urces. data mart data governance 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 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. The Marketing Dept needs to maximize consumer interest in the company's new financial services by sending marketing emails, targeted ads. and texts at prescribed intervals throughout the initial process of attracting and building a relationship with a customer. Riad's team has a large amount of data from previous marketing campaigns that they can analyze to develop a recommended schedule, taking into account a large variety of factors about different types of customers. What kind of technique will this task force need to employ in order to make these recommendations? 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. IMDB Hadoop NOSOL 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. The Marketing Dept. needs to maximize consumer interest in the company's new financial services by sending marketing emails, targeted ads, and texts at prescribed intervals throughout the initial process of attr ting and building a relationship with a customer. Riad's team has a large amount of data from previous marketing campaigns that they can analyze to develop a recommended schedule, taking into account a large variety of factors about different types of customers. What kind of technique will this task force need to employ in order to make these recommendations? O a. Predictae analytics b. Descriptive analytics O c Optimization d. Simulation 7:20 PM >> O d. Simulation The Marketing Dept. adds another layer of data analysis to the new project . They'd like to know what follow-up strategies tend to be most effective for customers in specific age and income brackets. They highlight two particular points along the where they most need research-based guidance. Select To complete these tasks. Riad's team will need to pull more information and insights from their existing data sets. What analytics tool will help them explore this data to identify patterns they can use to make predictions about which strategies will work best for each identified population? a. Data mining b. Time series analysis c. Linear programming d. Genetic algorithm Checle Ny Work Icon kes a e 7:20 PM 3/7/2021 O d. Simulation The Marketing Dept, adds another layer of data analysis to the new project. They'd like to know what follow-up strategies tend to be most effective for customers in specific age and income brackets. They highlight two particular points along the Select where they most need research-based guidance. Select word cloud Monte Carlo simulation CRISP-DM conversion funnel liad's team will need to pull more information and insights from their existing data sets. What analytics tool will help them explore this data to identify patterns they can use to make predictions about which strategies will work best for each identified population? a. Data mining b. Time series analysis O Linear programming O d. Genetic algorithm Check Work Oleon ko II 7:20 PM 3/7/2021