Hadoop and spark - Samenvattingen en Aantekeningen

Which definition best describes RCAC? A. It limits access by using views and stored procedures. B. It grants or revokes certain directory privileges. C. It limits the rows or columns returned based on certain criteria. D. It grants or revokes certain user privileges - answer-C. It limits the rows or columns returned based on certain criteria. You have a distributed file system (DFS) and need to set permissions on the the /hive/warehouse directory to allow access to ONLY the bigsql user...

AWS DMS correct answers AWS Database Migration Service - helps migrate databases AWS easily and securely Amazon Route 53 correct answers highly available and scalable DNS (Domain Name System) web service Queries for your domain are automatically routed to closest DNS server (around world) you use it register a new domain name in the AWS platform offers health checks to monitor the health and performance of your application as well as your web servers and other resources Amazon VPC corre...

data management the process of persisting and retrieving data. data integration and transformation often referred to as Extract, Transform, and Load, or "ETL," is the process of retrieving data from remote data management systems. Brainpower Read More Previous Play Next Rewind 10 seconds Move forward 10 seconds Unmute 0:13 / 0:15 Full screen Data Visualization part of an initial data exploration process, as well as being part of a final deliverable. model buildi...

For data in motion. Powered by Apache NiFi. 1) real-time - add, trace, adjust; 2) integrated - common input, output, transformation; 3) secure - security rules, encryption, traceability; 4) adaptive - adapts data flow, scalable; if connection poor skinnies down data - answer-Hortonworks Data Flow (HDF) A user-driven process of searching for patterns or specific items in a data set. Data discovery applications use visual tools such as geographical maps, pivot-tables, and heat-maps to make the ...

What is Google Cloud Dataproc? - ANSWER-Cloud Dataproc is a managed Spark and Hadoop service that lets you take advantage of open source data tools for batch processing, querying, streaming, and machine learning. Cloud Dataproc automation helps you create clusters quickly, manage them easily, and save money by turning clusters off when you don't need them. What are the open source data processing services that ship with Google Dataproc cluster servers? - ANSWER-Apache Hadoop, Apache Spark, A...

Test Bank Solution Manual for Databricks- Already Passed What is a clusters in Databricks? - Answers is a collection of Databricks computation resources What are the three key spark interfaces that you should know? - Answers Resilient Distributed Dataset (RDD), DataFrame, and Dataset What is Resilient Distributed Dataset (RDD)? - Answers It is an interface to a sequence of data objects that consist of one or more types that are located across a collection of machines (a cluster). RDDs can be...

What are the types of Azure Storage? Blob, File, Queue, Table, and Disk What is a BlockBlobStorage Account good for? High performance, low latency blob storage What are the access tiers of Azure Storage? Hot, Cold, and Archive What access tiers are available for BlockBlobStorage Accounts? None. What kind of blobs can a BlockBlobStorage Account contain? Block and Append What does GZRS stand for? Geo-Zone Redundant Storage What is the SLA of Geo-Zone...

Compute Engine - ANSWER-Run VMs on Google's infrastructure App Engine - ANSWER-PaaS for apps and backends Container Engine - ANSWER-Run containers on GCP Cloud Functions (BETA) - ANSWER-Serverless environment to build and connect cloud services BigQuery - ANSWER-Fully managed large-scale data warehouse Cloud Dataflow - ANSWER-Real-time batch and stream data processing Cloud Dataproc - ANSWER-Managed Spark and Hadoop service Cloud Datalab - ANSWER-Explore, analyze and visual...

Key OCI Services Latest Update Graded A+ Analytics Cloud This empowers business analysts and consumers with modern, AI-powered, self-service analytics capabilities for data preparation, visualization, enterprise reporting, augmented analysis, and natural language processing. Anomaly Detection This provides with a rich set of tools to identify undesirable events or observations in business data in real time so that you can take action to avoid business disruptions. API Gateway This enables you ...

1. What is Apache Spark? - Apache Spark is an open-source cluster computing framework for real-time processing. It has a thriving open-source community and is the most active Apache project at the moment. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance. 2. Compare Hadoop and Spark - Speed: 100 times faster than Hadoop Real-time & Batch processing vs Hadoop Batch processing only Easy to learn because of high level modules vs Had...