Question
Board member 1: What's so different about the way you're working with the data now? You: Our older _________ Item 1 systems stored and processed
Board member 1: What's so different about the way you're working with the data now?
You: Our older _________ Item 1 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.
Choices:
Hadoop
ELT
WHOOP
OLTP
Board member 2: So, as I understand it, your recommendations are based on analyzing more datamore kinds of datanot 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 includes business transactions, clickstream data, sensor data, server logs, social media posts, videos, customer service call recordings, and many other sources.
Choices:
data lake
data warehouse
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 ____________ 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.
Choices:
WHOOP
IMDB
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.
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.
Choices:
word cloud
Monte Carlo simulation
CRISP-DM
conversion funnel
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