DOCSLIB.ORG

Elastic Mapreduce EMR Development Guide

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Elastic Mapreduce EMR Development Guide Elastic MapReduce Elastic MapReduce EMR Development Guide Product Documentation ©2013-2019 Tencent Cloud. All rights reserved. Page 1 of 441 Elastic MapReduce Copyright Notice ©2013-2019 Tencent Cloud. All rights reserved. Copyright in this document is exclusively owned by Tencent Cloud. You must not reproduce, modify, copy or distribute in any way, in whole or in part, the contents of this document without Tencent Cloud's the prior written consent. Trademark Notice All trademarks associated with Tencent Cloud and its services are owned by Tencent Cloud Computing (Beijing) Company Limited and its affiliated companies. Trademarks of third parties referred to in this document are owned by their respective proprietors. Service Statement This document is intended to provide users with general information about Tencent Cloud's products and services only and does not form part of Tencent Cloud's terms and conditions. Tencent Cloud's products or services are subject to change. Specific products and services and the standards applicable to them are exclusively provided for in Tencent Cloud's applicable terms and conditions. ©2013-2019 Tencent Cloud. All rights reserved. Page 2 of 441 Elastic MapReduce Contents EMR Development Guide Hadoop Development Guide HDFS Common Operations Submitting MapReduce Tasks Automatically Adding Task Nodes Without Assigning ApplicationMasters YARN Task Queue Management Practices on YARN Label Scheduling Hadoop Best Practices Using API to Analyze Data in HDFS and COS Dumping YARN Job Logs to COS Spark Development Guide Spark Environment Info Using Spark to Analyze Data in COS Using Spark Python to Analyze Data in COS SparkSQL Tutorial Integrating Spark Streaming with Ckafka Practices on Dynamic Scheduling of Spark Resources Kafka and Spark Versions in Each EMR Version Spark Dependencies in Each EMR Version Hbase Development Guide Using HBase Through API Using Hbase with Thrift Spark on Hbase MapReduce on Hbase Phoenix on Hbase Development Guide Phoenix Client Environment Preparation Phoenix Client Tutorial Phoenix JDBC Tutorial Phoenix Best Practices Hive Development Guide Hive's Support for LLAP Basic Hive Operations Connecting to Hive Through Java Connecting to Hive Through Python Mapping Hbase Tables ©2013-2019 Tencent Cloud. All rights reserved. Page 3 of 441 Elastic MapReduce Hive Best Practices Creating Databases Based on COS Practices on Loading JSON Data to Hive Hive metadata management Presto Development Guide Presto Web UI Connector Analyzing Data in COS Sqoop Development Guide Import/Export of Relational Database and HDFS Incremental Data Import into HDFS Importing and Exporting Data Between Hive and TencentDB for MySQL Hue Development Guide Flume Development Guide Flume Overview Storing Kafka Data in Hive Through Flume Storing Kafka Data in HDFS or COS Through Flume Storing Kafka Data in Hive Through Flume Kerberos Development Guide Kerberos HA Support Kerberos Overview Kerberos Use Instructions Accessing Hadoop Secure Cluster Sample Connection from Hadoop to Kerberos Knox Development Guide Knox Development Guide Integrating Knox with Tez Integrating Knox with Tez v0.8.5 Integrating Knox with Tez v0.10.0 Alluxio Development Guide Alluxio Development Documentation Common Alluxio Commands Mounting File System to Unified Alluxio File System Using Alluxio in Tencent Cloud Support for COS Transparent-URI Kylin Development Guide Kylin Overview Livy Development Guide ©2013-2019 Tencent Cloud. All rights reserved. Page 4 of 441 Elastic MapReduce Livy Overview Zeppelin Development Guide Zeppelin Overview Hudi Development Guide Hudi Overview Superset Development Guide Superset Overview Impala Development Guide Impala Overview Impala OPS Manual Analyzing Data on COS/CHDFS ClickHouse Development Guide ClickHouse Overview ClickHouse Usage ClickHouse SQL Syntax Client Overview Getting Started ClickHouse Data Import COS Data Import HDFS Data Import Kafka Data Import MySQL Data Import ClickHouse OPS Monitoring Configuration Description Log Description Data Backup System Table Description Access Permission Control ClickHouse Data Migration Guide Druid Development Guide Druid Overview Druid Usage Ingesting Data from Hadoop in Batches Ingesting Data from Kafka in Real Time TensorFlow Development Guide TensorFlow Overview TensorFlowOnSpark Overview ©2013-2019 Tencent Cloud. All rights reserved. Page 5 of 441 Elastic MapReduce Jupyter Development Guide Jupyter Notebook Overview Kudu Development Guide EMR Development Guide EMR TianQiong Introduction Proprietary Spark Materialized Views of EMR TianQiong Proprietary Kona JDK of EMR TianQiong Ranger Development Guide Ranger Overview Ranger User Guide Integrating HDFS with Ranger Integrating YARN with Ranger Integrating HBase with Ranger Integrating Presto with Ranger Doris Development Guide Doris Overview User Guide Creating a User Creating a Data Table and Importing Data Querying Data Kafka Development Guide Kafka Overview Use Cases Kafka Usage Iceberg Development Guide ©2013-2019 Tencent Cloud. All rights reserved. Page 6 of 441 Elastic MapReduce EMR Development Guide Hadoop Development Guide HDFS Common Operations Last updated：2020-12-21 17:21:45 Tencent Cloud Elastic MapReduce (EMR) Hadoop service has integrated COS. If you enable COS when purchasing an EMR cluster, you can manipulate the data stored in COS using common Hadoop commands as shown below: #cat data hadoop fs -cat /usr/hive/warehouse/hivewithhdfs.db/record/data.txt #Modify the directory or file permission hadoop fs -chmod -R 777 /usr #Change the file or directory owner hadoop fs -chown -R root:root /usr #Create a folder hadoop fs -mkdir <paths> #Send a local file to HDFS hadoop fs -put <localsrc> ... <dst> #Copy a local file to HDFS hadoop fs -copyFromLocal <localsrc> URI #View the storage usage of a file or directory hadoop fs -du URI [URI …] #Delete a file hadoop fs -rm URI [URI …] #Set the number of copies of a directory or file hadoop fs–setrep [-R] [-w] REP PATH [PATH …] #Check for bad blocks of a cluster file hadoop fsck <path> [-move | -delete | -openforwrite] [-files [-blocks [-locations | -racks]]] For more HDFS commands, see the community documentation. If your cluster is a high-availability cluster (dual-namenode), you can see which namenode is active by running following commands: #nn1 is the ID of the namenode; usually nn1 and nn2. hdfs haadmin -getServiceState nn1 #View the current cluster report hdfs dfsadmin -report #namenode exits safe mode hdfs dfsadmin -safemode leave ©2013-2019 Tencent Cloud. All rights reserved. Page 7 of 441 Elastic MapReduce Submitting MapReduce Tasks Last updated：2020-12-15 15:24:37 This operation guide describes: 1. How to perform basic MapReduce job operations in command-line interfaces. 2. How to allow MapReduce jobs to access to the data stored in COS. For more information, please see the community documentation. The job submitted is a wordcount job. To count the words in a file, you need to upload the specified file in advance. The path of relevant software such as Hadoop is /usr/local/service/ . The relevant logs are stored in /data/emr . 1. Preparations for Development You need to create a bucket in COS for this job. Confirm that you have activated Tencent Cloud and created an EMR cluster. When creating the EMR cluster, select Enable COS on the basic configuration page and then enter your SecretId and SecretKey. You can find your SecretId and SecretKey at API Key Management. If you don't have a key, click Create Key to create one. 2. Logging in to an EMR Server You need to log in to any server in the EMR cluster first before performing the relevant operations. A master node is recommended for this step. EMR is built on CVM instances running on Linux; therefore, using EMR in command line mode requires logging in to an CVM instance. After creating the EMR cluster, select Elastic MapReduce in the console. In Cluster Resource > Resource Management, click Master Node to select the resource ID of the master node. Then, you can enter the CVM Console and find the instance of the EMR cluster. For more information on how to log in to a CVM instance, please see Logging in to a Linux Instance. Here, you can choose to log in with WebShell. Click Login on the right of the desired CVM instance to enter the login page. The default username is root, and the password is the one you set when creating the EMR cluster. Once your credentials have been validated, you can access the EMR command-line interface. All Hadoop operations are under the Hadoop user. The root user is logged in by default when you log in ©2013-2019 Tencent Cloud. All rights reserved. Page 8 of 441 Elastic MapReduce to the EMR server, so you need to switch to the Hadoop user. Run the following command to switch users and go to the Hadoop folder: [root@172 ~]# su hadoop [hadoop@172 root]$ cd /usr/local/service/hadoop [hadoop@172 hadoop]$ 3. Data Preparations You need to prepare a text file for counting. There are two ways to do so: storing data in an HDFS cluster and storing data in COS. The first step is to upload a local file to the CVM instance of the EMR cluster with the scp or sftp service. Run the following command on the local command line: scp $localfile root@public IP address:$remotefolder Here, $localfile is the path and the name of your local file; root is the CVM instance username. You can look up the public IP address in the node information in the EMR or CVM Console; and $remotefolder is the path where you want to store the file in the CVM instance. After the upload succeeds, you can check whether the file is in the corresponding folder on the command line of the EMR cluster. [hadoop@172 hadoop]$ ls –l Storing data in HDFS After uploading the data to the CVM instance, you can copy it to the HDFS cluster. The README.txt file in the /usr/local/service/hadoop directory is used here as an example. Copy the file to the Hadoop cluster by running the following command: [hadoop@172 hadoop]$ hadoop fs -put README.txt /user/hadoop/ After the copy is completed, run the following command to view the copied file: [hadoop@172 hadoop]$ hadoop fs -ls /user/hadoop Output: -rw-r--r-- 3 hadoop supergroup 1366 2018-06-28 11:39 /user/hadoop/README.txt ©2013-2019 Tencent Cloud.
Load more

Recommended publications
  • Beyond Relational Databases
    EXPERT ANALYSIS BY MARCOS ALBE, SUPPORT ENGINEER, PERCONA Beyond Relational Databases: A Focus on Redis, MongoDB, and ClickHouse Many of us use and love relational databases… until we try and use them for purposes which aren’t their strong point. Queues, caches, catalogs, unstructured data, counters, and many other use cases, can be solved with relational databases, but are better served by alternative options. In this expert analysis, we examine the goals, pros and cons, and the good and bad use cases of the most popular alternatives on the market, and look into some modern open source implementations. Beyond Relational Databases Developers frequently choose the backend store for the applications they produce. Amidst dozens of options, buzzwords, industry preferences, and vendor offers, it’s not always easy to make the right choice… Even with a map! !# O# d# "# a# `# @R*7-# @94FA6)6 =F(*I-76#A4+)74/*2(:# ( JA$:+49>)# &-)6+16F-# (M#@E61>-#W6e6# &6EH#;)7-6<+# &6EH# J(7)(:X(78+# !"#$%&'( S-76I6)6#'4+)-:-7# A((E-N# ##@E61>-#;E678# ;)762(# .01.%2%+'.('.$%,3( @E61>-#;(F7# D((9F-#=F(*I## =(:c*-:)U@E61>-#W6e6# @F2+16F-# G*/(F-# @Q;# $%&## @R*7-## A6)6S(77-:)U@E61>-#@E-N# K4E-F4:-A%# A6)6E7(1# %49$:+49>)+# @E61>-#'*1-:-# @E61>-#;6<R6# L&H# A6)6#'68-# $%&#@:6F521+#M(7#@E61>-#;E678# .761F-#;)7-6<#LNEF(7-7# S-76I6)6#=F(*I# A6)6/7418+# @ !"#$%&'( ;H=JO# ;(\X67-#@D# M(7#J6I((E# .761F-#%49#A6)6#=F(*I# @ )*&+',"-.%/( S$%=.#;)7-6<%6+-# =F(*I-76# LF6+21+-671># ;G';)7-6<# LF6+21#[(*:I# @E61>-#;"# @E61>-#;)(7<# H618+E61-# *&'+,"#$%&'$#( .761F-#%49#A6)6#@EEF46:1-#
    [Show full text]
  • Xolo Omega 5.0 Rom Download
    Xolo omega 5.0 rom download CLICK TO DOWNLOAD 8. · Xolo Omega Stock Firmware (flash file) The Flash File will help you to Upgrade, Downgrade, or re-install the Stock Firmware (OS) on your Mobile Device. The Flash File (ROM) also helps you to repair the Mobile device, if it is facing any Software Issue, Bootloop Issue, IMEI Issue, or Dead Issue. File Name: Xolo_Omega__S_zip. Download Xolo Omega Flash File and Install Mediatek Driver, Charge the phone 30% before flashing. First download all the files above; Extract All File From Zip File. Open the FlashTool folder and run renuzap.podarokideal.ru After that open, the tool, click on choose in the download agent tab. This flash file helps you to upgrade or downgrade the firmware of your Xolo Omega Android phone. Stock firmware fix software related issues, IMEI related issues, improve performance and boot loop issues, etc. Here you can download the latest and original version of stock firmware (Flash File) for your Xolo Omega renuzap.podarokideal.ru: Sai Y. Home / Tag Archives: Download Xolo Omega stock ROM. Tag Archives: Download Xolo Omega stock ROM Xolo Omega Xolo. 7. · If you own a Xolo Omega smartphone and want to Install Stock Rom or Firmware on it to unbrick or fix bootloop issue then you can download latest Firmware for it. In this page we have shared step by step guide to Install Stock Firmware or flash file on Xolo Omega /5. Find Xolo Omega Flash File, Flash Tool, USB Driver and How-to Flash Manual. The official link to download Xolo Omega Stock Firmware ROM (flash file) on your Computer.
    [Show full text]
  • Smart Anomaly Detection and Prediction for Assembly Process Maintenance in Compliance with Industry 4.0
    sensors Article Smart Anomaly Detection and Prediction for Assembly Process Maintenance in Compliance with Industry 4.0 Pavol Tanuska * , Lukas Spendla, Michal Kebisek, Rastislav Duris and Maximilian Stremy Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, 917 24 Trnava, Slovakia; [email protected] (L.S.); [email protected] (M.K.); [email protected] (R.D.); [email protected] (M.S.) * Correspondence: [email protected]; Tel.: +421-918-646-061 Abstract: One of the big problems of today’s manufacturing companies is the risks of the assembly line unexpected cessation. Although planned and well-performed maintenance will significantly reduce many of these risks, there are still anomalies that cannot be resolved within standard mainte- nance approaches. In our paper, we aim to solve the problem of accidental carrier bearings damage on an assembly conveyor. Sometimes the bearing of one of the carrier wheels is seized, causing the conveyor, and of course the whole assembly process, to halt. Applying standard approaches in this case does not bring any visible improvement. Therefore, it is necessary to propose and implement a unique approach that incorporates Industrial Internet of Things (IIoT) devices, neural networks, and sound analysis, for the purpose of predicting anomalies. This proposal uses the mentioned approaches in such a way that the gradual integration eliminates the disadvantages of individual approaches while highlighting and preserving the benefits of our solution. As a result, we have created and deployed a smart system that is able to detect and predict arising anomalies and achieve significant reduction in unexpected production cessation.
    [Show full text]
  • The Functionality of the Sql Select Clause
    The Functionality Of The Sql Select Clause Neptunian Myron bumbles grossly or ablates ana when Dustin is pendant. Rolando remains spermatozoon: she protrude lickety-split.her Avon thieve too bloodlessly? Donnie catapults windily as unsystematic Alexander kerns her bisections waggle The sql the functionality select clause of a function avg could Capabilities of people SELECT Statement Data retrieval from several base is done through appropriate or efficient payment of SQL Three concepts from relational theory. In other subqueries that for cpg digital transformation and. How do quickly write the select statement in SQL? Lesson 32 Introduction to SAS SQL. Exist in clauses with. If function is clause of functionality offered by if you can use for modernizing legacy sql procedure in! Moving window function takes place of functionality offered by clause requires select, a new table in! The SQL standard requires that switch must reference only columns in clean GROUP BY tender or columns used in aggregate functions However MySQL. The full clause specifies the columns of the final result table. The SELECT statement is probably the less important SQL command It's used to return results from our databases. The following SQL statement will display the appropriate of books. For switch, or owe the DISTINCT values, date strings and TIMESTAMP data types. SQL SELECT Statement TechOnTheNet. Without this table name, proporcionar experiencias personalizadas, but signify different tables. NULL value, the queries presented are only based on tables. So, GROUP BY, step CREATE poverty AS statement provides a superset of functionality offered by the kiss INTO statement. ELSE logic: SQL nested Queries with Select.
    [Show full text]
  • September 25, 2008
    . -\ •••)*• - • '•*' J -.-. online tiometownlife.com September 25r 2008 75 cents WINNERS OF STATE AND NATIONAL AWARDS OF EXCELLENCE www.hometownlife.coni BY DARRELL CLEM OBSERVER STAFF WRITER In a troubled econ­ omy marked by rising expenses, Westland single mom Juanita Francis looks for frugal ways to spend quality time with BY DARRELL CLEM daughters Naomi, OBSERVER STAFF WRITER Trinity, Mijai and Ashe, ages 5 to 14. A potential strike by Wayne- 'She found it Westland teachers still looms Tuesday* as did hun­ amid an impasse in contract dreds of others who talks between bargaining teams gathered in Tattan representing the 850-member Park near Carlson union and school district offi­ and Ford for Mayor cials. William Wild's latest Despite the stalemate, district community gather­ Superintendent Greg Baracy ing. confirmed Monday during a "I think Westland school board meeting that "we're is one of the most negotiating." Barring a collapse phenomenal com­ of talks, three more bargaining FILE PHOTO munities around," * sessions are scheduled to occur Francis, a teacher at by early next week. On three separate occasions, the alternative educa­ "There has not been any prog­ including Monday evening, Wayne tion Tinkham Center, ress made," Wayne-Westland Westland teachers have gathered at said, adding that Education Association union the district's administrative offices Wild and hi.* admin­ President Nancy Strachan to protest the course of current istration "are keeping said Monday evening, as a contract talks. people connected and large crowd of placard-car­ grounded." rying teachers protested out­ If Francis had side school district offices on ing shortfalls to usher in cuts appeared in a tele­ Marquette.
    [Show full text]
  • See Schema of Table Mysql
    See Schema Of Table Mysql Debonair Antin superadd that subalterns outrivals impromptu and cripple helpfully. Wizened Teodoor cross-examine very yestereve while Lionello remains orthophyric and ineffective. Mucking Lex usually copping some casbahs or flatten openly. Sql on the examples are hitting my old database content from ingesting data lake using describe essentially displays all of mysql, and field data has the web tutorial on The certification names then a specified table partitions used. Examining the gap in SQL injection attacks Web. Create own table remain the same schema as another output of FilterDeviceAlertEvents 2. TABLES view must query results contain a row beginning each faucet or view above a dataset The INFORMATIONSCHEMATABLES view has left following schema. Follow along with other database schema diff you see cdc. A Schema in SQL is a collection of database objects linked with an particular. The oracle as drop various techniques of. Smart phones and mysql database include: which table and web business domain and inductive impedance always come to see where. Cookies on a backup and their db parameter markers or connection to run, and information about is built up. MySQL Show View using INFORMATIONSCHEMA database The tableschema column stores the schema or database of the preliminary or waist The tablename. Refer to Fetch rows from MySQL table in Python to button the data that usually just. Data dictionary as follows: we are essentially displays folders and foreign keys and views, processing are hypothetical ideas of field knows how many other. Maintaining tables is one process the preventative MySQL database maintenance tasks.
    [Show full text]
  • Using Sqlancer to Test Clickhouse and Other Database Systems
    Using SQLancer to test ClickHouse and other database systems Manuel Rigger Ilya Yatsishin @RiggerManuel qoega Plan ▎ What is ClickHouse and why do we need good testing? ▎ How do we test ClickHouse and what problems do we have to solve? ▎ What is SQLancer and what are the ideas behind it? ▎ How to add support for yet another DBMS to SQLancer? 2 ▎ Open Source analytical DBMS for BigData with SQL interface. • Blazingly fast • Scalable • Fault tolerant 2021 2013 Project 2016 Open ★ started Sourced 15K GitHub https://github.com/ClickHouse/clickhouse 3 Why do we need good CI? In 2020: 361 4081 261 11 <15 Contributors Merged Pull New Features Releases Core Team Requests 4 Pull Requests exponential growth 5 All GitHub data available in ClickHouse https://gh.clickhouse.tech/explorer/ https://gh-api.clickhouse.tech/play 6 How is ClickHouse tested? 7 ClickHouse Testing • Style • Flaky check for new or changed tests • Unit • All tests are run in with sanitizers • Functional (address, memory, thread, undefined • Integrational behavior) • Performance • Thread fuzzing (switch running threads • Stress randomly) • Static analysis (clang-tidy, PVSStudio) • Coverage • Compatibility with OS versions • Fuzzing 9 100K tests is not enough Fuzzing ▎ libFuzzer to test generic data inputs – formats, schema etc. ▎ Thread Fuzzer – randomly switch threads to trigger races and dead locks › https://presentations.clickhouse.tech/cpp_siberia_2021/ ▎ AST Fuzzer – mutate queries on AST level. › Use SQL queries from all tests as input. Mix them. › High level mutations. Change query settings › https://clickhouse.tech/blog/en/2021/fuzzing-clickhouse/ 12 Test development steps Common tests Instrumentation Fuzzing The next step Unit, Find bugs earlier.
    [Show full text]
  • Mapreduce Service
    MapReduce Service Troubleshooting Issue 01 Date 2021-03-03 HUAWEI TECHNOLOGIES CO., LTD. Copyright © Huawei Technologies Co., Ltd. 2021. All rights reserved. No part of this document may be reproduced or transmitted in any form or by any means without prior written consent of Huawei Technologies Co., Ltd. Trademarks and Permissions and other Huawei trademarks are trademarks of Huawei Technologies Co., Ltd. All other trademarks and trade names mentioned in this document are the property of their respective holders. Notice The purchased products, services and features are stipulated by the contract made between Huawei and the customer. All or part of the products, services and features described in this document may not be within the purchase scope or the usage scope. Unless otherwise specified in the contract, all statements, information, and recommendations in this document are provided "AS IS" without warranties, guarantees or representations of any kind, either express or implied. The information in this document is subject to change without notice. Every effort has been made in the preparation of this document to ensure accuracy of the contents, but all statements, information, and recommendations in this document do not constitute a warranty of any kind, express or implied. Issue 01 (2021-03-03) Copyright © Huawei Technologies Co., Ltd. i MapReduce Service Troubleshooting Contents Contents 1 Account Passwords.................................................................................................................. 1 1.1 Resetting
    [Show full text]
  • HDP 3.1.4 Release Notes Date of Publish: 2019-08-26
    Release Notes 3 HDP 3.1.4 Release Notes Date of Publish: 2019-08-26 https://docs.hortonworks.com Release Notes | Contents | ii Contents HDP 3.1.4 Release Notes..........................................................................................4 Component Versions.................................................................................................4 Descriptions of New Features..................................................................................5 Deprecation Notices.................................................................................................. 6 Terminology.......................................................................................................................................................... 6 Removed Components and Product Capabilities.................................................................................................6 Testing Unsupported Features................................................................................ 6 Descriptions of the Latest Technical Preview Features.......................................................................................7 Upgrading to HDP 3.1.4...........................................................................................7 Behavioral Changes.................................................................................................. 7 Apache Patch Information.....................................................................................11 Accumulo...........................................................................................................................................................
    [Show full text]
  • Desarrollo De Una Solución Business Intelligence Mediante Un Paradigma De Data Lake
    Desarrollo de una solución Business Intelligence mediante un paradigma de Data Lake José María Tagarro Martí Grado de Ingeniería Informática Consultor: Humberto Andrés Sanz Profesor: Atanasi Daradoumis Haralabus 13 de enero de 2019 Esta obra está sujeta a una licencia de Reconocimiento-NoComercial-SinObraDerivada 3.0 España de Creative Commons FICHA DEL TRABAJO FINAL Desarrollo de una solución Business Intelligence mediante un paradigma de Data Título del trabajo: Lake Nombre del autor: José María Tagarro Martí Nombre del consultor: Humberto Andrés Sanz Fecha de entrega (mm/aaaa): 01/2019 Área del Trabajo Final: Business Intelligence Titulación: Grado de Ingeniería Informática Resumen del Trabajo (máximo 250 palabras): Este trabajo implementa una solución de Business Intelligence siguiendo un paradigma de Data Lake sobre la plataforma de Big Data Apache Hadoop con el objetivo de ilustrar sus capacidades tecnológicas para este fin. Los almacenes de datos tradicionales necesitan transformar los datos entrantes antes de ser guardados para que adopten un modelo preestablecido, en un proceso conocido como ETL (Extraer, Transformar, Cargar, por sus siglas en inglés). Sin embargo, el paradigma Data Lake propone el almacenamiento de los datos generados en la organización en su propio formato de origen, de manera que con posterioridad puedan ser transformados y consumidos mediante diferentes tecnologías ad hoc para las distintas necesidades de negocio. Como conclusión, se indican las ventajas e inconvenientes de desplegar una plataforma unificada tanto para análisis Big Data como para las tareas de Business Intelligence, así como la necesidad de emplear soluciones basadas en código y estándares abiertos. Abstract (in English, 250 words or less): This paper implements a Business Intelligence solution following the Data Lake paradigm on Hadoop’s Big Data platform with the aim of showcasing the technology for this purpose.
    [Show full text]
  • T729 Firmware
    T729 firmware click here to download Easy Firmware, Download Firmware, Software and Mobile Flash Files www.doorway.ru www.doorway.ru Download | Size: 19 MB | Date: www.doorway.ru Download | Size: 19 MB | Date: www.doorway.ru?a=browse&b=category&id= Samsung T T-mobile www.doorway.ru? d=E2DBGGM6 this is a temporary daownload, if somebody can do to permanently, then do it. B.R. www.doorway.ru Download | Size: 19 MB | Downloads: 1 www.doorway.ru Download | Size: 19 MB | Downloads: 3 www.doorway.ru?a=browse&b=category&id= Drivers and firmware for Samsung SGH-T downloads. Perform hard reset on SAMSUNG T Blast. However, this may only be a temporary solution as when you start using your device again you may stumble upon the same problems. Try updating SAMSUNG T Blast firmware. By doing that regularly you will make sure that SAMSUNG T Blast performance is as good as. Update camera firmware in image (Don't try this option) * Update camera firmware in SD card * Get camera firmware version in Samsung SGH-T * Get firmware update count. WARNING: Never use the first option otherwise your phone camera will stop working and you'll need to take Samsung SGH-T to service. Update camera firmware in image (Don't try this option) * Update camera firmware in SD card * Get camera firmware version in Samsung T Blast * Get firmware update count. WARNING: Never use the first option otherwise your phone camera will stop working and you'll need to take Samsung T Blast to service. Description:Firmware for HP Pavilion tfr.
    [Show full text]
  • Insight MFR By
    Manufacturers, Publishers and Suppliers by Product Category 11/6/2017 10/100 Hubs & Switches ASCEND COMMUNICATIONS CIS SECURE COMPUTING INC DIGIUM GEAR HEAD 1 TRIPPLITE ASUS Cisco Press D‐LINK SYSTEMS GEFEN 1VISION SOFTWARE ATEN TECHNOLOGY CISCO SYSTEMS DUALCOMM TECHNOLOGY, INC. GEIST 3COM ATLAS SOUND CLEAR CUBE DYCONN GEOVISION INC. 4XEM CORP. ATLONA CLEARSOUNDS DYNEX PRODUCTS GIGAFAST 8E6 TECHNOLOGIES ATTO TECHNOLOGY CNET TECHNOLOGY EATON GIGAMON SYSTEMS LLC AAXEON TECHNOLOGIES LLC. AUDIOCODES, INC. CODE GREEN NETWORKS E‐CORPORATEGIFTS.COM, INC. GLOBAL MARKETING ACCELL AUDIOVOX CODI INC EDGECORE GOLDENRAM ACCELLION AVAYA COMMAND COMMUNICATIONS EDITSHARE LLC GREAT BAY SOFTWARE INC. ACER AMERICA AVENVIEW CORP COMMUNICATION DEVICES INC. EMC GRIFFIN TECHNOLOGY ACTI CORPORATION AVOCENT COMNET ENDACE USA H3C Technology ADAPTEC AVOCENT‐EMERSON COMPELLENT ENGENIUS HALL RESEARCH ADC KENTROX AVTECH CORPORATION COMPREHENSIVE CABLE ENTERASYS NETWORKS HAVIS SHIELD ADC TELECOMMUNICATIONS AXIOM MEMORY COMPU‐CALL, INC EPIPHAN SYSTEMS HAWKING TECHNOLOGY ADDERTECHNOLOGY AXIS COMMUNICATIONS COMPUTER LAB EQUINOX SYSTEMS HERITAGE TRAVELWARE ADD‐ON COMPUTER PERIPHERALS AZIO CORPORATION COMPUTERLINKS ETHERNET DIRECT HEWLETT PACKARD ENTERPRISE ADDON STORE B & B ELECTRONICS COMTROL ETHERWAN HIKVISION DIGITAL TECHNOLOGY CO. LT ADESSO BELDEN CONNECTGEAR EVANS CONSOLES HITACHI ADTRAN BELKIN COMPONENTS CONNECTPRO EVGA.COM HITACHI DATA SYSTEMS ADVANTECH AUTOMATION CORP. BIDUL & CO CONSTANT TECHNOLOGIES INC Exablaze HOO TOO INC AEROHIVE NETWORKS BLACK BOX COOL GEAR EXACQ TECHNOLOGIES INC HP AJA VIDEO SYSTEMS BLACKMAGIC DESIGN USA CP TECHNOLOGIES EXFO INC HP INC ALCATEL BLADE NETWORK TECHNOLOGIES CPS EXTREME NETWORKS HUAWEI ALCATEL LUCENT BLONDER TONGUE LABORATORIES CREATIVE LABS EXTRON HUAWEI SYMANTEC TECHNOLOGIES ALLIED TELESIS BLUE COAT SYSTEMS CRESTRON ELECTRONICS F5 NETWORKS IBM ALLOY COMPUTER PRODUCTS LLC BOSCH SECURITY CTC UNION TECHNOLOGIES CO FELLOWES ICOMTECH INC ALTINEX, INC.
    [Show full text]