AuraMonitor enables administrators and managers to monitor and analyze all Oracle Forms system and end-user activity in real-time: allowing them to identify and prevent performance issues or outages before they occur. It is a comprehensive, out-of-the-box, agent-less solution that—unlike other monitoring tools—tracks client-side performance metrics, thereby providing a complete end-to-end system overview. The AuraMonitor agent resides on the end-user machine, collecting and processing data before sending it to any database, log file or external monitoring system where it can be analyzed.
Views: 250 Mia Urman
In this video tutorial, Denys van Kempen shows how to configure SAP HANA smart data access for Oracle (preparation). Thank you for watching. Video by the SAP HANA Academy.
Views: 2819 SAP HANA Academy
This video will explain what happens in reality when you issue ALTER SYSTEM FLUSH SHARED_POOL. A step by step case study will give you the answers by the end of this video session. Oracle DBA training: Need some training on Performance tuning? - Whatsapp +919951696808 Look for more contents on training at: www.orskl.com/training
Views: 2858 OrSkl Academy
Views: 510 MD. SHARIFUL ALAM
While many organizations understand license positioning for the desktop estate, licensing in the data center can present a number of unique challenges that require managed services with a Software License Optimization solution. Watch this video to learn about: - Optimizing Oracle licensing across database, middleware and business applications - The ins and outs of IBM sub-capacity licensing. What it is, why it’s important, and how FlexNet Manager for IBM can be used for reporting in place of ILMT, TADd and SUA
Views: 1842 SoftwareONE
Views: 217 MD. SHARIFUL ALAM
Webinar recorded Dec 22 2015 demonstrating the architecture and features of ALATO, an Oracle APEX-based DBA tool. Visit http://skillbuilders.com/alato for a free trial download and more information.
Views: 522 SkillBuilders
Learn how to generate execution plan in oracle database in many ways
Views: 3426 OrSkl Academy
Views: 330 MD. SHARIFUL ALAM
Лектор: Дмитрий Барашев 1. Введение 2. Жизнь запроса 3. Важно ли, как записан запрос? 4. Индексы 5. Материализация и избыточная информация 6. Подведем итоги https://stepik.org/s/lq7jLpR5
Views: 1712 Roman Brovko
Feel free to contact Call : +91-8870903864 Or E-mail [email protected] ORACLE PERFORMANCE TUNNING 1 – 1: Introduction to Oracle tuning - The top-down approach to tuning - The history of Oracle tuning - A review of the Oracle architecture - The goals of Oracle tuning - Overview of SQL tuning - Oracle network bottlenecks - Oracle RAM usage and bottlenecks - Oracle CPU usage and bottlenecks - Oracle disk I/O overview - Monitoring server (sat, vmstat, top, glance) - Movement toward server consolidation 1 – 2: Oracle disk I/O tuning - History of DASD - Understanding disk I/O - Monitoring disk I/O (AWR, dba_hist_filestatxs) - Sorted hash cluster tables - Disk I/O waits - Oracle data buffer internals (db_cache_size) - Caching data blocks in the PGA (parallel full-table scans) - Blocksize and I/O performance 1 – 3: Oracle CPU Tuning - Finding your cpu_count - Measuring CPU usage with vmstat - Oracle CPU usage - Using processor affinity - _optimizer_cost_model=cpu - Parallel query and CPU 1 – 4: Oracle RAM tuning - all_rows and first_rows optimization and RAM - Multiple data buffers - Multiple blocksizes - Measuring RAM paging - Oracle SGA RAM - Oracle PGA RAM - Using the KEEP pool - Automatic Memory Management (AMM) 1 – 5: Oracle Instance Tuning - Global tuning techniques - Display possible unnecessary large-table full-table scans - Library cache tuning - Finding missing indexes - Tuning the database writer - instance parameter tuning 1 – 6: Oracle SQL Tuning Introduction - SQL tuning hierarchy - SQL tuning goals - optimizer modes - query re-write - cursor_sharing - viewing execution plans (autotrace) - verifying optimal join techniques - parallelizing SQL execution - dynamic statistics - Exercise – count times when a table is invoked - 12c new SQL features - function-based virtual column - adaptive execution plans - 12c new optimizer metadata collection features 2 – 1: AWR and ASH - AWR vs STATSPACK - Reading an AWR report - AWR report analyzer - Basics of predictive modeling for performance - Finding repeating signatures of data 2 - 2: Oracle RAC Tuning - RAC architecture tuning - Tuning disk I/O on RAC - Tuning the cache fusion layer on RAC 2 – 3: Oracle Tuning Pack - creating SQL Profiles - Recommending new indexes - “automatic” SQL Tuning - SQL Performance Advisor (SPA) - recommending object reorganization 2 – 5: Oracle Diagnostic pack - AWR and ASH - real time SQL monitoring - comparing performance periods - Oracle monitoring & alert notifications (setting thresholds) 2 – 6: Oracle Tracing - 10046 tracing - TKPROF tracing - Trace analyzer - Autotrace 3 – 1: Introduction to SQL tuning - Pre-SQL database communications - The evolution of SQL - Declarative languages 3 –2: Optimizing Oracle SQL - Parsing a SQL statement - Semantic parsing - Hard parse vs. soft parse - Decision tree generation - Making SQL reentrant 3 –3: Optimizer statistics - Types of metadata - Index metadata - Segment metadata - Server metadata - System stats 3 – 4: Exposing & Reading Execution Plans - autotrace - SQL*Trace - Determine the steps of an execution plan 3 – 5: altering execution plans - Changing CBO statistics - Changing init.ora SGA parameters - Changing optimizer parameters - Using hints - Using the opt_param hint 3 – 6: Oracle indexing - Overview of Oracle indexing - bitmap indexes - bitmap join indexes - guidelines for creating indexes - function-based indexes (FBI) - index usage monitoring - fishing in the library cache - optimizing indexes - The transient nature of indexing - database modality of workloads - SQL Workload analysis - Identifying EOW, EOM and EOY SQL. - Creating on-demand indexing - oracle text indexes Oracle Performance Tuning training online, Oracle Performance Tuning training material, IBM Websphere Application Server training cost, Oracle Performance Tuning training pdf, Websphere Application Server training in USA uae India, Oracle Performance Tuning training, online Corporate training malaysia Singapore, Oracle Performance Tuning software, Oracle Performance Tuning training in bangalore, Oracle Performance Tuning training institutes in hyderabad, Oracle Performance Tuning training in chennai, Oracle Performance Tuning training in hyderabad, Delhi, Mumbai, Pune, Oracle Performance Tuning, IBM Websphere ApplicationServer webinar, online training singapore, Oracle Performance Tuning eam, Oracle Performance Tuning as a service,Oracle Performance Tuning online Training Oracle Performance Tuning online Training Oracle Performance Tuning online Training Oracle Performance Tuning online Training maximo scheduler, Oracle Performance Tuning (consumer product) Oracle Performance Tuning online Training Oracle Performance Tuning online Training Oracle Performance Tuning online Training Oracle Performance Tuning online Training Oracle Performance Tuning online Training , Post Training Support
Learn more about connecting to databases with R: https://www.datacamp.com/courses/importing-data-in-r-part-2 Welcome to part two of importing data in R! The previous course dealt with accessing data stored in flat files or excel files. In a professional setting, you'll also encounter data stored in relational databases. In this video, I'll briefly talk about what a relational database is and then I'll explain how you can connect to it. In the next video, I'll explain how you can import data from it! So, what's a relational database? There's no better way to show this than with an example. Take this database, called company. It contains three tables, employees, products and sales. Like a flat file, information is displayed in a table format. The employees table has 5 records and three fields, namely id, name and started_at. The id here serves as a unique key for each row or record. Next, the products table contains the details on four products. We're dealing with data from a telecom company that's selling both with and without a contract. Also here, each product has an identifier. Finally, there's the sales table. It lists what products were sold by who, when and for what price. Notice here that the ids in employee_id and product_id correspond to the ids that you can find in the employees and products table respectively. The third sale for example, was done by the employee with id 6, so Julie. She sold the product with id 9, so the Biz Unlimited contract. These relations make this database very powerful. You only store all necessary information once in nicely separated tables, but can connect the dots between different records to model what's happening. How the data in a relational database is stored and shuffled around when you make adaptations, depends on the so-called database management system, or DBMS you're using. Open-source implementations such as MySQL, postgreSQL and SQLite are very popular, but there are also proprietary implementations such as Oracle Database and Microsoft SQL server. Practically all of these implementations use SQL, or sequel, as the language for querying and maintaining the database. SQL stands for Structured Query Language. Depending on the type of database you want to connect to, you'll have to use different packages. Suppose the company database I introduced before is a MySQL database. This means you'll need the RMySQL package. For postgreSQL you'll need RpostgreSQL, for Oracle, you'll use ROracle and so on. How you interact with the database, so which R functions you use to access and manipulate the database, is specified in another R package called DBI. In more technical terms, DBI is an interface, and RMySQL is the implementation. Let's install the RMySQL package, which automatically installs the DBI package as well. Loading only the DBI package will be enough to get started. The first step is creating a connection to the remote MySQL database. You do this with dbConnect(), as follows. The first argument specifies the driver that you will use to connect to the MySQL database. It sure looks a bit strange, but the MySQL() function from the RMySQL package simply constructs a driver for us that dbConnect can use. Next, you have to specify the database name, where the database is hosted, through which port you want to connect, and finally the credentials to authenticate yourself. This is an actual database that we're hosting, so you can try these commands yourself! The result of the dbConnect call, con, is a DBI connection object. You'll need to pass this object to whatever function you're using to interact with the database. Before we do that, let's get familiar with this connection object in the exercises!
Views: 39845 DataCamp
The Turing Lectures: Industrial & Commercial - Tim Harris – Oracle Laboratories: Systems Challenges in Graph Analytics Click the below timestamps to navigate the video. 00:00:10 Introduction by Professor Chris Williams, Edinburgh University 00:01:49 Tim Harris – Oracle Laboratories: Systems Challenges in Graph Analytics 00:50:51 Q&A Graphs are at the core of many data processing problems, whether that is searching through billions of records for suspicious interactions, ranking the importance of web pages based on their connectivity, or identifying possible “missing” friends on a social network. This talk will discuss the challenges in building large, scalable, in-memory graph analytics systems. Many of these challenges come from the way that graph algorithms behave differently based on the structure of the input graph: a planar road network graph can produce a significantly different load on the machine’s memory system from a low-diameter social network graph. It can be necessary to select particular algorithms for these different cases, and to make contrasting decisions over how the machine’s resources are allocated. Finally, we face challenges simply from the scale at which we operate: making efficient use of the hardware in new SPARC machines with over 4000 threads. The Alan Turing Institute is the UK's National Institute for Data Science. The Institute’s mission is to: undertake data science research at the intersection of computer science, mathematics, statistics and systems engineering; provide technically informed advice to policy makers on the wider implications of algorithms; enable researchers from industry and academia to work together to undertake research with practical applications; and act as a magnet for leaders in academia and industry from around the world to engage with the UK in data science and its applications. The Institute is headquartered at The British Library, at the heart of London’s knowledge quarter, and brings together leaders in advanced mathematics and computing science from the five founding universities and other partners. Its work is expected to encompass a wide range of scientific disciplines and be relevant to a large number of business sectors. For more information, please visit: https://turing.ac.uk #TuringLectures
Views: 310 The Alan Turing Institute
Explore SQL with Tom Coffing of Coffing Data Warehousing! In this lesson, learn about how you can Collect Statistics on a Volatile Table!
Views: 678 Coffing Data Warehousing
In this video we will learn to draw Bar Graph using data from MySQL table, PHP and ChartJS. TUTORIAL LINK: https://goo.gl/WtP4Us Next Video: https://youtu.be/2F5iTlPgaV8 Important Links: ChartJS: https://www.chartjs.org jQuery: https://jquery.com XAMPP: https://www.apachefriends.org/index.html MAMP: https://www.mamp.info/en/ Tell me which video should I make in the comments :-) Find me on =============== facebook https://www.facebook.com/yusufshakeel twitter https://twitter.com/yusufshakeel google+ https://plus.google.com/+YusufShakeel pinterest https://www.pinterest.com/yusufshakeel website http://www.yusufshakeel.com DYclassroom https://www.dyclassroom.com Algorithm Playlist https://goo.gl/Z89n9o Data Structure Playlist https://goo.gl/Eu4vDh Floyd's Algorithm https://youtu.be/X6n30V6qCWU Heap Sort https://youtu.be/51JGP4VVlDc Quick Sort https://youtu.be/3OLTJlwyIqQ Radix Sort https://youtu.be/YXFI4osELGU Shell Sort https://youtu.be/SCBf7aqKQEY Counting Sort https://youtu.be/TTnvXY82dtM if you find my videos interesting and enjoy watching them then please give a thumbs up, share and subscribe my channel and comment. Subscribe my YouTube channel http://goo.gl/cFA9in thanks for watching see you in the next video stay happy and keep smiling :-)
Views: 96805 Yusuf Shakeel
In this session Redis Lab's Cluster Architect overviews an internal system for statistics collection built on top of Redis. The slides and videos of all sessions from Redis Day TLV 2016 can be found at: https://redislabs.com/redis-day-tlv-2016
Views: 255 Redis Labs
As an Oracle DBA, be safe with your data - scripts, docs, white papers and other references
Views: 2132 OrSkl Academy
The mounting popularity of Software-as-a-Service (SaaS)-based eClinical technologies has shifted the paradigm of computer system validation in clinical trials. International regulatory authorities, including FDA, acknowledge the need to perform an intended use validation across various industry guidance documents. However, intended use validation is seldom implemented by CROs and Sponsors utilizing eClinical platforms in a SaaS model. This webinar describes best practices for Sponsors and CROs validating SaaS-based EDC systems, highlighting the importance of intended use validation and a case study example of SDC's validation of our primary SaaS-based EDC system, iMedNet eClinical. Watch this webinar to learn: -What auditors want to see in your EDC validation documentation -Understanding intended use validation requirements -Best practices for implementing EDC intended use validation -Key takeaways to ace your EDC validation audit Audience polls and a live Q&A session were recorded in this video.
Views: 320 Statistics & Data Corporation
Get the full course: https://courses.xelplus.com Excel has various tools that can help you easily clean up your raw data for further analysis. Apart from using formulas and formatting, there are two useful Excel features that let you easily clean up. One method is text to columns feature and the other to import external data. The Get External Data tool can be used to import and analyse data from other systems. This tool is also useful for importing data to run your dashboards or do further analysis using pivot tables, etc. Usually you can get data extracts from any system (e.g. “.dat” or “.csv” from Oracle, “.xml” files from SAP, etc.). These can be imported into Excel. Importing External Data also gives you control over the decimals and thousand separator, especially if you’re dealing with international companies. In the US, the decimal is dot and the comma is a thousand separator and in most European countries it’s the other way round, where the comma is a decimal and the dot a thousand separator. It’s always safest to Import it properly with the Excel Data Import wizard! After importing press Ctrl + T to create a table out of it. You can create a pivot table off this one, and when you do, even if you add more data to it, the pivot reflects the new data. Importing Data from the Web / Internet into Excel – creating web queries that refresh automatically: In Excel you can also import data directly from the web. You basically create a web query which you set to refresh automatically based on your preference. ★ My Online Excel Courses ► https://courses.xelplus.com/ ✉ Subscribe & get my TOP 10 Excel formulas e-book for free https://www.xelplus.com/free-ebook/ EXCEL RESOURCES I Recommend: https://www.xelplus.com/resources/
Views: 104507 Leila Gharani
With the help of the Impact Analysis you gain a deeper understanding of your application’s components and structure. ▼▼▼▼▼▼▼▼▼▼ MORE DETAILS BELOW ▼▼▼▼▼▼▼▼▼▼▼ With the PITSS.CON Application Analysis, Oracle Forms and Reports applications of all sizes and levels of complexity can be quickly and accurately analyzed, allowing organizations to take the guesswork and risk out-of-application development and maintenance. Using Oracle’s own API and the analytical power of a centralized data repository, PITSS.CON Application Analysis performs a fast, detailed Oracle Forms analysis of even the most complex and comprehensive applications. This can be used for powerful what-if simulations, sophisticated research, and comprehensive reporting. The in-depth insight applies at every level, from day-to-day work to large-scale re-engineering and migration projects. This allows the development teams to better understand connections and implement requirements, ensuring that your investment in Oracle Forms and Reports applications will pay off for years to come. ▼▼▼ FUNCTIONAL HIGHLIGHTS ▼▼▼ ►Atomization (parsing) of all loaded program objects ►Automatic analysis of the entire application, including all menus, libraries, reports, database elements, and further development objects ►Representation of all components and structures of Oracle Applications from the mask field to the table column ►Representation of all Oracle Forms dependencies, including the use of program functions, database or module objects ►Complete dependence analysis for pending changes by identifying affected systems and side effects ►Implementation of structural changes of columns and adjustment of the relevant programs ►Export of analysis results as text, HTML or PDF file for software documentation ▼▼▼ LEARN MORE ABOUT APPLICATION ANALYSIS ▼▼▼ ►Website: Application Analysis (English): https://pitss.com/products/pitss-con-overview/application-analysis/ ►Website: Application Analysis (German): https://pitss.com/de/pitsscon-application-analysis/ ►Video: What is an Impact Analysis: https://youtu.be/PFJhM5CV9JA _______________________________________________________________________________ ▼▼▼ HOW TO FIND US ▼▼▼ PITSS US/Canada/UK: https://pitss.com/ PITSS D/A/CH: https://pitss.com/de/ ▼▼▼ CONNECT & STAY UP TO DATE ▼▼▼ Twitter: https://twitter.com/PITSS_GmbH Google+: https://plus.google.com/116912679338809155946/posts LinkedIn US: https://www.linkedin.com/company/pitss-america-llc LinkedIn De: https://www.linkedin.com/company/pitss-gmbh Facebook:
Views: 327 PITSS
DBMS Tutorial in hindi, english - Introduction to Entity, Attribute, Types of Attributes in DBMS for students of IP University Delhi and Other Universities, Engineering, MCA, BCA, B.Sc, M.Sc Colleges.
Views: 76002 Easy Engineering Classes
DDL triggers fire in response to a variety of Data Definition Language (DDL) events. These events primarily correspond to Transact-SQL statements that start with the keywords CREATE, ALTER, DROP, GRANT, DENY, REVOKE or UPDATE STATISTICS. Certain system stored procedures that perform DDL-like operations can also fire DDL triggers.
Views: 81 SqlIsEasy
Tracing: Transaction ST12 = Combination of two transactions . SAT (ABAP Trace) , ST05 = SQL Trace SQL Trace: To monitor the database access of reports and transactions. Less common traces : Enqueue Trace: (the locking system),RFC Trace, Table buffer trace: Performance Improvements ABAP Coding: Keep an eye on those loops. Select statements in loops = absolutely avoid = use for all entries instead Function call, or performs in loops = re - visit and see if you can optimize The "READ TABLE" statement Sorted table- Binary search .. Or even better use "Index" on internal tables. Use mass operations on internal table = internal table copy one to another, Append lines of int_fligh1 to int_fligh2. Use field symbols to modify internal table in a loop (minor improvement ) A little trick if you call performs in a loop:: Use static variables Avoid sleep, wait etc commands.. Or synchronous RFC calls 2)Database bottleneck Use Indexes : Make sure Indexes are being used in your select statement (check with trace if needed) Extreme case , create new index (this has the disadvantage of making the insert slower) Select -- End select loop : Usually database optimiser will fix it, still avoid it Select * into corresponding fields = about a millisecond slower Make clever use of inner joins Use views Use (max,min, avg): example : Select max( flightnum ) from flight . GET RUN TIME command Reduce I/O first, then memory, then CPU activity.Field-groups can be useful for multi-level sorting and displaying. However, they write their data to the system's paging space, rather than to memory (internal tables use memory)
Views: 15619 Sourabh Bora
-- Created using PowToon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 329 Ravindran S
In this video tutorial, Denys van Kempen shows how to configure SAP HANA smart data access for Oracle. Thank you for watching. Video by the SAP HANA Academy.
Views: 2082 SAP HANA Academy
Most people believe that the terms "data" and "information" are interchangeable and mean the same thing. However, there is a distinct difference between the two words. Data can be any character, text, words, number, pictures, sound, or video and, if not put into context, means little or nothing to a human. However, information is useful and usually formatted in a manner that allows it to be understood by a human.
Views: 35754 Chandra Bhushan Sharma
Feel free to contact Call : +91-8870903864 Or E-mail [email protected] Oracle RAC Course Content: Grid Infrastructure: Clusterware and ASM Oracle Grid Infrastructure Explain the principles and purposes of clusters Describe Cluster hardware best practices Understand Oracle Clusterware Architecture Describe how Grid Plug and Play affects Clusterware Describe ASM architecture and components Grid Infrastructure Installation Perform pre-install tasks for Grid Infrastructure Install Grid Infrastructure Verify the installation Configure ASM disk groups Configure ASM volumes Make ASM cluster file system Mount ACFS volumes Administering Oracle Clusterware Display Clusterware management proficiency Demonstrate OCR backup and recovery techniques Managing Network Settings Managing Clusterware Perform prerequisite steps for extending a cluster Use Oracle Universal Installer (OUI) to add a node to an Oracle Clusterware home Use OUI to remove a node from an Oracle Clusterware home Making Applications Highly Available With Oracle Clusterware Describe the High Availability components of Oracle Clusterware Contrast Policy-Managed and Administration Managed databases Describe the functionality of server pools Describe application placement policies Create an application Virtual IP (VIP) Manage application resources Troubleshooting Oracle Clusterware Locate Oracle Clusterware log files Gather all log files using diagcollection.pl Enable resource debugging Enable component-level debugging Enable tracing for Java-based tools Troubleshoot the Oracle Cluster Registry (OCR) file Administering ASM Instances Understand and apply ASM initialization parameters Manage ASM instances and associated processes Monitor ASM using the V$ASM dynamic performance views Administering ASM Disk Groups Create and delete ASM disk groups Set the attributes of an existing ASM disk group Perform ongoing maintenance tasks on ASM disk groups Explain key performance and scalability considerations for ASM disk groups Administering ASM Files, Directories, and Templates Use different client tools to access ASM files Describe the format of a fully qualified ASM file name Explain how ASM files, directories and aliases are created and managed Understand and manage disk group templates Administering ASM Cluster File Systems Administer ASM Dynamic Volume Manager Manage ASM volumes Implement ASM Cluster File System Manage ASM Cluster File System (ACFS) Use ACFS Snapshots Using command line tools to Manage ACFS Real Application Clusters Real Application Clusters Database Installation Install the Oracle database software Create a cluster database Perform post-database creation tasks Perform a single instance to RAC conversion RAC Database Administration Use Enterprise Manager cluster database pages Define redo log files in a RAC environment Define undo tablespaces in a RAC environment Start and stop RAC databases and instances Modify initialization parameters in a RAC environment Managing Backup and Recovery for RAC Configure the RAC database to use ARCHIVELOG mode and the flash recovery area Recover from media failure and instance failures Tune instance recovery in RAC Configure RMAN for the RAC environment RAC DB Monitoring and Tuning Determine RAC-specific tuning components Determine RAC-specific wait events, global enqueues, and system statistics Implement the most common RAC tuning tips Use the Cluster Database Performance pages Use the Automatic Workload Repository (AWR) in RAC Use Automatic Database Diagnostic Monitor (ADDM) in RAC Services Configure and manage services in a RAC environment Use services with client applications Use services with the Database Resource Manager and scheduler Configure services aggregation and tracing High Availability Connections Configure client-side, connect-time load balancing and connect-time failover Oracle RAC training online, Oracle RAC training material, IBM Websphere Application Server training cost, Oracle RAC training pdf, Websphere Application Server training in USA uae India, Oracle RAC training, online Corporate training malaysia Singapore, Oracle RAC software, Oracle RAC training in bangalore, Oracle RAC training institutes in hyderabad, Oracle RAC training in chennai, Oracle RAC training in hyderabad, Delhi, Mumbai, Pune, Oracle RAC, IBM Websphere ApplicationServer webinar, online training singapore, Oracle RAC eam, Oracle RAC as a service,Oracle RAC online Training Oracle RAC online Training Oracle RAC online Training Oracle RAC online Training maximo scheduler, Oracle RAC (consumer product) Oracle RAC online Training Oracle RAC online Training Oracle RAC online Training Oracle RAC online Training Oracle RAC online Training , Post Training Support
( Hadoop Training: https://www.edureka.co/hadoop ) Check our Hadoop Tutorial blog series here: https://goo.gl/LFesy8 This Edureka Hadoop tutorial helps you understand Hadoop vs RDBMS, Hadoop vs MySql, Hadoop vs Oracle and Hadoop vs Traditional Database Systems. This Hadoop tutorial is ideal for beginners to learn Hadoop and RDBMS concepts. This Edureka Hadoop Tutorial provides knowledge on HADOOP vs RDBMS using a Sears case study, how Hadoop can be adopted into an existing system and will give you a picture on how HADOOP and RDBMS can also work together. Hadoop can be used as an underlying file-system to store, manage and process Big Data and then the final aggregated data(structured and not Big Data) can be pushed into an existing RDBMS which is used for final BI reports. "HADOOP vs RDBMS" helps you understand that hadoop is not necessarily a replacement for RDBMS however it is there to support and enhance the existing infrastructure to leverage Big Data. Hence, you should know when to use and when not use Hadoop. Refer to the below blog: http://www.edureka.co/blog/5+Reasons-when-to-use-and-not-to-use-hadoop/ Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Hadoop playlist here: https://goo.gl/ExJdZs How it Works? 1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you: 1. Master the concepts of HDFS and MapReduce framework 2. Understand Hadoop 2.x Architecture 3. Setup Hadoop Cluster and write Complex MapReduce programs 4. Learn data loading techniques using Sqoop and Flume 5. Perform data analytics using Pig, Hive and YARN 6. Implement HBase and MapReduce integration 7. Implement Advanced Usage and Indexing 8. Schedule jobs using Oozie 9. Implement best practices for Hadoop development 10. Work on a real life Project on Big Data Analytics 11. Understand Spark and its Ecosystem 12. Learn how to work in RDD in Spark - - - - - - - - - - - - - - Who should go for this course? If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career: 1. Analytics professionals 2. BI /ETL/DW professionals 3. Project managers 4. Testing professionals 5. Mainframe professionals 6. Software developers and architects 7. Recent graduates passionate about building successful career in Big Data - - - - - - - - - - - - - - Why Learn Hadoop? Big Data! A Worldwide Problem? According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success! The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data. - - - - - - - - - - - - - - Opportunities for Hadoopers! Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself! For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Review: Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favorite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”
Views: 7891 edureka!
Visualize and analyze your complex LC-MS data to support your 'omics research by quantifying your analytes. Find differences between samples rapidly, objectively and reliably using multivariate statistics. www.nonlinear.com/missing-values
Views: 471 Waters Corporation
Oracle Ace Liron Amitzi presents an entertaining session about appreciating the Oracle Optimizer; exploring the stability of plans and examining new features that ruin your system performance, just when you get it tuned just right.
Views: 568 Database Community
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A common problem in the database world is when we persist in putting numeric data into a string datatype...and then expect to sequence the data in numeric fashion. This quick tip looks at how to handle it, and covers an interesting AskTom question at the same time. ====================================================== Copyright © 2015 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
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Explore Netezza with Tom Coffing of Coffing Data Warehousing! In this lesson, learn about the GROOM Command, Automatic Database Statistics, and more in your Netezza system!
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