The Difference Between a Cover Letter and a Resume

The Difference Between a Cover Letter and a Resume The Difference Between a Cover Letter and a Resume Whats the contrast between a resume and an introductory letter? Both an introductory letter and a resume share the regular reason for demonstrating that you have the correct abilities to exceed expectations at the particular employment for which you are applying. Notwithstanding, there are away from between the structure and purpose of the two reports. Employment searchers should see their introductory letter and resume as an integral yet one of a kind pair of reports. That is, your introductory letter ought to be something other than visual cues disgorged from the resume. Numerous businesses necessitate that a resume is submitted with a request for employment. An introductory letter may not be required. But, including one whenever you apply for a job can help your odds of getting chose for a meeting. The Difference Between a Resume and a Cover Letter You can think about your resume as a general outline of your work understanding and your introductory letter as a synopsis of your work understanding as it identifies with the current task. A resume is a report that separates your business history. It sums up the employments you have held, the instruction you have accomplished, confirmations, abilities, and other quantifiable data about your experience and work understanding. The most common resume format is a rundown with your contact data, an experience section that incorporates work titles, position depictions, dates of business, an education area, and other significant data. Regularly, a resume is written as an outsider looking in and utilizes as not many words as conceivable to sum up the experience. In this way, rather than composing I managed the enormous purchasing group at XYZ organization a resume would have a visual cue that says, Supervised 19-man purchasing group. At whatever point conceivable, youll need to use numbers on your resume, for example, the quantity of individuals you regulated, percent deals expanded, the quantity of clients helped, and so on. A cover letter is written to feature the capabilities you have for the job for which you are applying. It is utilized to give the business extra data with respect to why you are a decent contender for the activity. The principle capacity of your introductory letter is to flaunt how your capability makes you a counterpart for the activity. An introductory letter is written in a letter format including a greeting, a few sections, and an end. In contrast to a resume, you should utilize the main individual to compose your introductory letter. (All things considered, abstain from utilizing I to an extreme.) What a Resume Includes Your resume ought to give managers a nitty gritty rundown of your work understanding and training. The aptitudes and achievements related with each activity you have held ought to be depicted in enough detail to show businesses how you have included an incentive in those particular jobs. Frequently, resumes give data in bulleted records; this helps make the report succinct and permits enrollment specialists to look over it rapidly. What a Cover Letter Includes An introductory letter is a short three or four section document. It ought to be composed with the suspicion that businesses will counsel your resume to coordinate it to the announcement you are making in the letter about your capabilities. An introductory letter will assist bosses with interpretting your experience as spoke to on the resume and will help demonstrate how your past encounters qualify you for a vocation. At the point when you are composing an introductory letter for work, first review the activity requirements that are definite in the activity posting. Utilize your introductory letter to clarify how you meet those rules. Utilize a Cover Letter to Convey Subjective Information A resume expresses the realities â€" who, what, when, and how. Conversely, an introductory letter gives a chance to clarify why you are equipped for the activity. This archive includes a touch of shading and character and is expected to convince businesses that youre a solid match for the current situation. An introductory letter is a superior vehicle than a resume to pass on progressively emotional data like the premise of your enthusiasm for a position, how your qualities spur you to seek after a vocation, or why the way of life of an organization bids to you. Your introductory letters will help you sell your capabilities to forthcoming employers while your resume gives the subtleties to back up the data remembered for your letters.

Three mistakes being made in the fight to boost STEM talent - Viewpoint - careers advice blog Viewpoint careers advice blog

Three mistakes being made in the fight to boost STEM talent - Viewpoint - careers advice blog Science, technology, engineering and mathematics-reliant industries continue to struggle against severe skills shortages. We look at some of the pitfalls to avoid: 1. Businesses are failing to engage parents Allan Cook, a chartered engineer and Chairman of engineering and project management consultancy W S Atkins, says it’s crucial to engage young people in STEM-related learning well before they have to start making choices about subjects for school qualifications such as GCSEs. “Even secondary school is too late since they are already partially being guided towards other subjects,” he says. “That may be because their parents do not fully understand modern engineering or due to the lack of informed careers advice [on offer]. The shortage of maths and science teachers in education is also a challenge. “Children’s passion for engineering needs to be inspired at around eight or nine years old. We need to highlight how engineering has modernised and is now much more about software, artificial intelligence and systems engineering.” 2. Schools must teach the core skills needed earlier Caroline Bosch, HR Director, Pacific, at technology and manufacturing multinational Honeywell, notes that the impact of the shortage of STEM talent could be acutely felt at national level, if it is not addressed. “This is a serious issue for Australia. The contribution of industries built upon STEM skills is important for economic growth and in years to come, if it doesn’t improve, Australia could become less competitive. The risk is becoming a nation of buyers and consumers instead of innovators and inventors,” she says. Bosch agrees with Cook that part of the cause of low STEM uptake is that school children are not being drawn into the subjects early enough. “There’s no reason why school children shouldn’t start coding, computer skills and robotics at five years old, when they begin school. Coding needs to be prioritised earlier, just like reading and writing. Currently, that learning is not being introduced extensively until the age of 11 or 12, but that is too late according to some articles and research relating to this area. By the age of 15, a student selects the subjects that ultimately determine their initial further education, and possibly their career path,” she adds. 3. The strategy is too short-sighted Cook warns that although tackling current shortages is imperative, businesses must look to the future too. “There is no doubt that we should be making faster progress, but this is a problem that has been created over decades. We need to adopt a longer-term approach to changing attitudes. It absolutely starts with education at an early age so youngsters can overcome barriers such as feeling these subjects are too difficult for them, or that it’s an outdated industry. There needs to be a continued effort to keep building momentum.” If you enjoyed the above blog  then you might also appreciate these other articles, which also  originally appeared in  previous issues of the  Hays Journal: Making a breakthrough A complex relationship The fruits of knowledge Training at the top Why talented Chinese graduates are aiming high in Dubai Establishing an effective middle management tier Managing external resources Four pillars of people View the Hays Journal online or request a printed copy from haysjournal@hays.com

Job Search Fizzling Maybe Its Your Executive Resume - Executive Career Brandâ„¢

Pursuit of employment Fizzling Maybe Its Your Executive Resume For as long as half a month an exquisite cardinal has been sticking around one of my office windows, then again roosted on a branch of a close by shrub and crushing into the window. He does this for quite a long time at once, consistently. He could be thinking the window is an open space he can get past or that his appearance is another winged animal coming at him. Whatever the explanation, hes getting no place. Yet, he continues hitting against that window, for a long time. Recollect Einsteins meaning of madness? Doing likewise again and again, what's more, anticipating various outcomes. It is safe to say that you are one of the many, numerous official activity searchers secured in a dull procedure that is not working? On the off chance that you have a marked, directed profile (so youll be found in online ventures) and resume youve been utilizing determinedly, and youve been in a proactive pursuit of employment (I mean, youre effectively and deliberately organizing for a new position) for more than lets state a month, and youre wasting time . . . no meetings . . . Its chance to return to your resume since its not situating you as the solid match competitor you realize you are. Possibly it doesnt obviously adjust your skill and offer with the requirements and difficulties your objective organizations are confronting at this moment. Provided that this is true, return and stress these characteristics and capabilities utilizing the important catchphrases and expressions enrollment specialists and recruiting experts will be searching for. Or then again perhaps youve committed the greatest resume composing error . . . you havent done the individual marking and friends/industry focusing on work you MUST do first, before endeavoring to compose your resume. In any case, look again at your resume. In the event that it's down and out, fix it! Put yourself in the spot of the individuals who will evaluate you through it (and your profile). Ensure your guarantee of significant worth strikes a chord with them. Related posts: Top 10 Executive Resume Branding Tips Official Brand Resume: Differentiate Your ROI Value Above the Fold The Lazy C-level Executive Job Search photograph by hart_curt 00 0

HBase Architecture

HBase Architecture HBase Architecture: HBase Data Model HBase Read/Write Mechanism Back Home Categories Online Courses Mock Interviews Webinars NEW Community Write for Us Categories Artificial Intelligence AI vs Machine Learning vs Deep LearningMachine Learning AlgorithmsArtificial Intelligence TutorialWhat is Deep LearningDeep Learning TutorialInstall TensorFlowDeep Learning with PythonBackpropagationTensorFlow TutorialConvolutional Neural Network TutorialVIEW ALL BI and Visualization What is TableauTableau TutorialTableau Interview QuestionsWhat is InformaticaInformatica Interview QuestionsPower BI TutorialPower BI Interview QuestionsOLTP vs OLAPQlikView TutorialAdvanced Excel Formulas TutorialVIEW ALL Big Data What is HadoopHadoop ArchitectureHadoop TutorialHadoop Interview QuestionsHadoop EcosystemData Science vs Big Data vs Data AnalyticsWhat is Big DataMapReduce TutorialPig TutorialSpark TutorialSpark Interview QuestionsBig Data TutorialHive TutorialVIEW ALL Blockchain Blockchain TutorialWhat is BlockchainHyperledger FabricWhat Is EthereumEthereum TutorialB lockchain ApplicationsSolidity TutorialBlockchain ProgrammingHow Blockchain WorksVIEW ALL Cloud Computing What is AWSAWS TutorialAWS CertificationAzure Interview QuestionsAzure TutorialWhat Is Cloud ComputingWhat Is SalesforceIoT TutorialSalesforce TutorialSalesforce Interview QuestionsVIEW ALL Cyber Security Cloud SecurityWhat is CryptographyNmap TutorialSQL Injection AttacksHow To Install Kali LinuxHow to become an Ethical Hacker?Footprinting in Ethical HackingNetwork Scanning for Ethical HackingARP SpoofingApplication SecurityVIEW ALL Data Science Python Pandas TutorialWhat is Machine LearningMachine Learning TutorialMachine Learning ProjectsMachine Learning Interview QuestionsWhat Is Data ScienceSAS TutorialR TutorialData Science ProjectsHow to become a data scientistData Science Interview QuestionsData Scientist SalaryVIEW ALL Data Warehousing and ETL What is Data WarehouseDimension Table in Data WarehousingData Warehousing Interview QuestionsData warehouse architectureTalend T utorialTalend ETL ToolTalend Interview QuestionsFact Table and its TypesInformatica TransformationsInformatica TutorialVIEW ALL Databases What is MySQLMySQL Data TypesSQL JoinsSQL Data TypesWhat is MongoDBMongoDB Interview QuestionsMySQL TutorialSQL Interview QuestionsSQL CommandsMySQL Interview QuestionsVIEW ALL DevOps What is DevOpsDevOps vs AgileDevOps ToolsDevOps TutorialHow To Become A DevOps EngineerDevOps Interview QuestionsWhat Is DockerDocker TutorialDocker Interview QuestionsWhat Is ChefWhat Is KubernetesKubernetes TutorialVIEW ALL Front End Web Development What is JavaScript â€" All You Need To Know About JavaScriptJavaScript TutorialJavaScript Interview QuestionsJavaScript FrameworksAngular TutorialAngular Interview QuestionsWhat is REST API?React TutorialReact vs AngularjQuery TutorialNode TutorialReact Interview QuestionsVIEW ALL Mobile Development Android TutorialAndroid Interview QuestionsAndroid ArchitectureAndroid SQLite DatabaseProgramming HBase Read/Write Mechan ism Last updated on May 22,2019 41.2K Views Shubham Sinha Shubham Sinha is a Big Data and Hadoop expert working as a... Shubham Sinha is a Big Data and Hadoop expert working as a Research Analyst at Edureka. He is keen to work with Big Data...1 Comments Bookmark 2 / 3 Blog from Apache HBase Become a Certified Professional HBase ArchitectureIn my previous blog on HBase Tutorial, I explained what is HBase and its features. I also mentioned Facebook messengers case study to help you to connect better. Now further moving aheadin our Hadoop Tutorial Series, I will explain you the data model of HBase and HBase Architecture. Before you move on, you should also know that HBase is an important concept that makes up an integral portion of the course curriculum for Big Data Hadoop Certification.The important topics that I will be taking you through in this HBase architecture blog are:HBase Data ModelHBase Architecture and its ComponentsHBase Write MechanismHBase Read MechanismHBase Perf ormance Optimization MechanismsLet us first understand the data model of HBase. Ithelps HBase in faster read/write and searches.HBase Architecture: HBase Data ModelAs we know, HBase is a column-oriented NoSQL database. Although it looks similar to a relational database which contains rows and columns, but it is not a relational database. Relational databases areroworiented while HBase is column-oriented. So, let us first understand the difference between Column-oriented and Row-oriented databases:Row-oriented vs column-oriented Databases:Row-oriented databases store table records in a sequence of rows. Whereas column-oriented databasesstore table records in a sequence of columns, i.e. the entries in a column are stored in contiguous locations on disks.To better understand it, let us take an example and consider the table below.If this table is stored in a row-oriented database. It will store the records as shown below:1, Paul Walker, US, 231, Gallardo,2,Vin Diesel, Brazil, 520, Must angIn row-oriented databases data is stored on the basis of rows or tuples as you can see above.While the column-oriented databases store this data as:1,2,Paul Walker, Vin Diesel,US, Brazil,231, 520,Gallardo, MustangIn a column-oriented databases, all the column values are stored together like first column values will be stored together, then the second column values will be stored together and data in other columns are stored in a similar manner.When the amount of data is very huge, like in terms of petabytes or exabytes, we use column-oriented approach, because the data of a single column is stored together and can be accessed faster. While row-oriented approach comparatively handles less number of rows and columns efficiently, as row-oriented database stores data is a structured format.When we need to processand analyze a large set of semi-structured or unstructured data, we use column oriented approach. Such as applications dealing with Online Analytical Processing like data min ing, data warehousing, applications including analytics, etc.Whereas, Online Transactional Processing such as banking and finance domains which handle structured data and require transactional properties (ACID properties) use row-oriented approach.HBase tables has following components, shown in the image below:Tables: Data isstored in a table format in HBase. But here tables are in column-oriented format.Row Key: Row keys are used to search recordswhich makesearches fast. You would be curious to know how? I will explain it in the architecture part moving ahead in this blog.Column Families: Various columns are combined in a column family. These column families are stored together which makes the searching process faster because data belonging to same column family can be accessedtogether in a single seek.Column Qualifiers: Each columns name is known as its column qualifier.Cell: Data is stored in cells. The data is dumped into cells which are specifically identified by rowkey and col umn qualifiers.Timestamp: Timestamp is a combination of date and time. Whenever data is stored, it is stored with its timestamp. This makes easy to search for a particular version of data.In a more simple and understanding way,we can say HBase consists of:Set of tablesEach table with column families and rowsRow key acts as a Primary key in HBase.Any access to HBase tables uses this Primary KeyEach column qualifier present in HBase denotes attribute corresponding to the object which resides in the cell.Now that you know about HBaseData Model, let us see how this data model falls in line with HBase Architecture and makes it suitable for large storage and faster processing.HBase Architecture: Components of HBase ArchitectureHBase has three major components i.e., HMaster Server, HBase Region Server, Regions and Zookeeper.The below figure explains the hierarchy of the HBase Architecture. We will talk about each one of them individually. Now before going to the HMaster, we will understand Regions as all these Servers (HMaster, Region Server, Zookeeper) are placed to coordinate and manage Regions and perform various operations inside the Regions. So you would be curious to know what are regions and why are they so important? HBase Architecture: RegionA region contains all the rows between the start key and the end key assigned to that region. HBase tables can be divided into a number of regions in sucha way that all the columns of a column familyis stored in one region. Each region contains the rows in a sorted order.Many regions are assigned to a Region Server, which is responsible for handling, managing, executing reads and writes operations on that set of regions. So, concluding in a simpler way:A table can be divided into anumber of regions. A Region is a sorted range of rows storing data between a start key and an end key.A Regionhas a default size of 256MB which can be configured according to the need.A Group of regions is served to the clients by a Region Serv er.ARegion Server can serve approximately 1000 regions to the client.Now starting from the top of thehierarchy, I would first like to explain you about HMaster Server which acts similarly as a NameNode in HDFS. Then, moving down in the hierarchy, I will take you through ZooKeeper and Region Server.HBase Architecture:HMasterAs in the below image, you can see the HMaster handles a collection of Region Server which resides on DataNode. Let us understand how HMaster does that.HBase HMaster performs DDL operations (create and delete tables) and assignsregions to the Region servers as you can see in the above image.It coordinates and manages the Region Server (similar as NameNode manages DataNode in HDFS).It assigns regions to the Region Servers on startup and re-assigns regions to Region Servers during recovery and load balancing.It monitors all the Region Servers instances in the cluster (with the help of Zookeeper) and performs recovery activities whenever any Region Server is down.It provides an interface for creating, deleting and updating tables.HBase hasa distributed and huge environment where HMaster alone is not sufficient to manage everything. So, you would be wondering what helps HMaster to manage this huge environment? Thats where ZooKeeper comes into thepicture. After we understood how HMaster manages HBase environment, we will understand how Zookeeper helps HMaster in managing the environment.HBase Architecture:ZooKeeper The CoordinatorThis below image explains the ZooKeepers coordination mechanism.Zookeeper acts like a coordinator inside HBase distributed environment. It helps in maintaining server state inside the cluster by communicating through sessions.Every Region Server along with HMaster Server sends continuous heartbeat at regular interval to Zookeeper and it checks which server is alive and available as mentioned in above image. It also provides server failure notifications so that, recovery measures can be executed.Referring from the above image you can see, there is an inactive server, which acts as a backup for active server. If the active server fails, it comes for the rescue.The active HMaster sends heartbeats to the Zookeeper while the inactive HMaster listens for the notification send by active HMaster. If the active HMaster fails to send a heartbeat the session is deleted and the inactive HMaster becomes active.While if a Region Server fails to send a heartbeat, the session is expired and all listeners are notified about it. Then HMaster performs suitable recovery actions which we will discuss later in this blog.Zookeeper also maintains the .META Servers path, which helps any client insearching for any region. TheClient first has to check with .META Server in which Region Server a region belongs, and it gets the path of that Region Server.As I talked about .META Server, let me first explainto you what is .META server? So, you can easily relate the work of ZooKeeper and .META Server together. Later, when I will explain you the HBase search mechanism in this blog, I will explain how these two work in collaboration.HBase Architecture:Meta TableThe META table is a special HBase catalog table. It maintains alist of all the Regions Serversin the HBase storage system, as you can see in the above image.Looking at the figure you can see, .META file maintains thetable in form of keys and values. Key represents the start key of the region and its id whereas the value contains the path of the Region Server.As I already discussed, Region Server and its functions while I was explaining you Regionshence, now we are moving down the hierarchy and I will focus on the Region Servers component and their functions. Later I will discuss the mechanism of searching, reading, writing and understandhow all these components work together.HBase Architecture:Components of Region ServerThis below image shows the components of a Region Server. Now, I will discuss them separately.A Region Server maintains various region s running on the top of HDFS. Components of a Region Server are:WAL:As you can conclude from the above image, Write Ahead Log (WAL) is a file attached to every Region Server inside the distributed environment. The WAL stores the new data that hasnt been persisted or committed to the permanent storage. It is used in case of failure to recover the data sets.Block Cache: From the above image, it is clearly visible that Block Cache resides in the top of Region Server. It stores the frequently read data in the memory. If the data in BlockCache is least recently used, then that data is removed from BlockCache.MemStore: It is the write cache. It stores all the incoming data before committing it to the disk or permanent memory. There is one MemStore for each column family in a region. As you can see in the image, there are multiple MemStores for a region because each region contains multiple column families.The data is sorted in lexicographical order before committing it to the disk.HFile: From the above figure you can see HFile is stored on HDFS. Thus it stores the actual cells on the disk. MemStore commits the data to HFilewhen the size of MemStore exceeds.Now that we know major and minor components of HBase Architecture, I will explain the mechanism and their collaborative effort in this. Whether its reading or writing, first we need to search from where to read or where to write a file. So, lets understand this search process, as this is one of the mechanisms which makes HBase very popular.HBase Architecture:How Search Initializesin HBase?As you know, Zookeeper stores the META table location. Whenever a client approaches with a read or writes requests to HBase following operation occurs:The client retrieves the location of the META table from the ZooKeeper.The client thenrequests for the location of the Region Server of corresponding row key from the META table to access it. The client caches this information with the location of the META Table.Then it will get th e row location by requesting from the corresponding Region Server.For future references, the client uses its cache to retrieve the location of META table and previously read row keys Region Server. Then the client will not refer to the META table, until and unless there is a miss because theregion is shifted or moved. Then it will again request to the META server and update the cache.As every time, clients does not waste time in retrieving the location of Region Server from META Server,thus, this saves time and makes the search process faster. Now, let me tell you how writing takes place in HBase. What are the components involved in it and how are they involved?HBase Architecture:HBase Write MechanismThis below image explains the write mechanism in HBase.The write mechanism goes through the following process sequentially (refer to the above image):Step 1: Whenever the client has a write request, the client writes the data to the WAL (Write Ahead Log).The edits are then appended at t he end of the WAL file.This WAL file is maintained in every Region Server and Region Server uses it to recover data which is not committed to the disk.Step 2: Once data is written to the WAL, then it is copied to the MemStore. Step 3: Once the data is placed in MemStore, then theclient receives the acknowledgment.Step 4: When the MemStore reaches the threshold, it dumps or commits the data into a HFile.Now let us take a deep dive and understand how MemStore contributes in the writing process and what are its functions?HBase Write Mechanism-MemStoreThe MemStore always updates the data stored in it, in a lexicographical order (sequentially in a dictionary manner) as sorted KeyValues. There is one MemStore for each column family, and thus the updates are stored in a sorted manner for each column family.When the MemStore reaches the threshold, it dumps all the data into a new HFile in a sorted manner. This HFile is stored in HDFS. HBase contains multiple HFiles for each Column Family.Ov er time, thenumber of HFile grows as MemStore dumps the data.MemStore also saves the last written sequence number, so Master Server and MemStore both knows, that what is committed so far and where to start from. When region starts up, the last sequence number is read, and from that number, new edits start.As I discussed several times, that HFile is the main persistent storage in an HBase architecture. At last, all the data is committed to HFile which is the permanent storage of HBase. Hence, let us look at the properties of HFile which makes it faster for search while reading and writing. HBase Architecture:HBase Write Mechanism-HFileThe writes are placed sequentially on the disk. Therefore, the movement of the disks read-write head is very less. This makes write and search mechanism very fast.The HFile indexes are loaded in memory whenever an HFile is opened. This helps in finding a record in a single seek.The trailer is a pointer which points to the HFiles meta block . It is writt en at the end of the committed file. It contains information about timestamp and bloom filters. Bloom Filter helps in searching key value pairs, it skips the file which does not contain the required rowkey. Timestamp also helps in searching a version of thefile, it helps in skipping the data.After knowing the write mechanism and the role of various components in making write and search faster. I will be explainingto you how the reading mechanism works inside an HBase architecture? Then we will move to themechanisms which increases HBase performance like compaction, region split and recovery.HBase Architecture:Read MechanismAs discussed in our search mechanism, first the client retrieves the location of the Region Server from .META Server if the client does not have it in its cache memory. Then it goes through the sequential steps as follows:For reading the data, the scanner first looks for the Row cell in Block cache. Here all the recently read key value pairs are stored.If Scanner fails to find the required result, it moves to the MemStore, as we know this is the write cache memory. There, it searches forthe most recently written files, which has not been dumped yet in HFile.At last, it will use bloom filters and block cache to load the data from HFile.So far, I have discussedsearch, read and write mechanism of HBase. Now we will look at the HBase mechanism which makes search, read and write quick in HBase. First, we will understand Compaction, which is one of those mechanisms.HBase Architecture:CompactionHBasecombines HFiles to reduce the storage and reduce the number of disk seeks needed for a read. This process is called compaction. Compaction chooses some HFiles from a region and combines them. There are two types of compaction as you can see in the above image.Minor Compaction: HBase automatically picks smaller HFiles and recommits them to bigger HFiles as shown in the above image. This is called Minor Compaction.It performs merge sort for committing sma ller HFiles to bigger HFiles. This helps in storage space optimization.Major Compaction:As illustrated in the above image, in Major compaction, HBase merges and recommits the smaller HFiles of a region to a new HFile. In this process, the same column families are placed together in the new HFile. It drops deleted and expired cell in this process. It increases read performance.But during this process, input-output disks and network traffic might get congested. This is known as write amplification. So, it is generally scheduled during low peak load timings.Now another performance optimization process which I will discuss isRegion Split. This is very important for load balancing.HBase Architecture:Region SplitThe below figure illustrates the Region Split mechanism.Whenever a region becomes large, it is divided into two child regions, as shown in the above figure. Eachregion represents exactly ahalf of the parent region. Then this split is reported to the HMaster. This is handled by the same Region Serveruntil the HMaster allocates them to a new Region Server for load balancing.Moving down the line, last but the not least, I will explain you how does HBase recover data after a failure. As we know that Failure Recovery is a very important feature of HBase, thus let us know how HBase recovers data after a failure.HBase Architecture:HBase Crash and Data RecoveryWhenever a Region Server fails, ZooKeeper notifies to the HMaster about the failure.Then HMaster distributes and allocates the regions of crashed Region Server to many active Region Servers. Torecover the data of the MemStore of the failed Region Server, the HMaster distributes the WAL to all the Region Servers.Each Region Server re-executes the WAL to build the MemStore for that failed regions column family.The data is written in chronologicalorder (in a timely order) in WAL. Therefore, Re-executing that WAL means making all the change that were made and stored in the MemStore file.So, after allthe Region Ser vers executes the WAL, the MemStore data for all column family is recovered.I hope this blog would have helped you in understating the HBase Data Model HBase Architecture. Hope you enjoyed it. Now you can relate to the features of HBase (which I explained in my previous HBase Tutorial blog)with HBase Architecture and understand how it works internally. Now that you know the theoretical part of HBase, you should move to the practical part. Keeping this in mind, ournextblog of Hadoop Tutorial Series will be explaining a sampleHBase POC.Now that you have understood the HBase Architecture, check out theHadooptrainingby Edureka,a trusted online learning companywith a network of more than250,000satisfied learnersspread acrossthe globe. The Edureka Big Data Hadoop Certification Training coursehelps learners becomeexpert in HDFS, Yarn, MapReduce, Pig, Hive, HBase, Oozie, Flume and Sqoop using real-time use cases on Retail, Social Media, Aviation, Tourism, Finance domain.Got a question for us? Please mention it in the comments section and we will get back to you.Recommended videos for you Apache Spark Redefining Big Data Processing Watch Now Introduction to Hadoop Administration Watch Now Real-Time Analytics with Apache Storm Watch Now Spark SQL | Apache Spark Watch Now Webinar: Introduction to Big Data Hadoop Watch Now Reduce Side Joins With MapReduce Watch Now What Is Hadoop All You Need To Know About Hadoop Watch Now Big Data Processing with Spark and Scala Watch Now Power of Python With BigData Watch Now MapReduce Design Patterns Application of Join Pattern Watch Now 5 Scenarios: When To Use When Not to Use Hadoop Watch Now Introduction to Big Data TDD and Pig Unit Watch Now Is It The Right Time For Me To Learn Hadoop ? Find out. Watch Now What is Apache Storm all about? Watch Now Big Data Processing With Apache Spark Watch Now Advanced Security In Hadoop Cluster Watch Now Improve Customer Service With Big Data Watch Now Streaming With Apache Spark and Scala W atch Now Hadoop Architecture Hadoop Tutorial on HDFS Architecture Watch Now Filtering on HBase Using MapReduce Filtering Pattern Watch NowRecommended blogs for you Big Data Career Is The Right Way Forward. Know Why! Read Article Install Puppet Install Puppet in Four Simple Steps Read Article A Deep Dive Into Pig Read Article Spark Tutorial: Real Time Cluster Computing Framework Read Article Importance of Hadoop Tutorial Read Article Big Data and ETL are Family Read Article Apache Kafka: Next Generation Distributed Messaging System Read Article How to Plan the Capacity of a Hadoop Cluster? Read Article What is CCA-175 Spark and Hadoop Developer Certification? 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5 Resume Mistakes That Will Haunt You - Walrath Recruiting, Inc.

5 Resume Mistakes That Will Haunt You - Walrath Recruiting, Inc. Since tomorrow is Halloween, weve decided to write a blog about a job seekers biggest fear- resume mistakes! Your resume is the main tool to find employment, so making a mistake on that document can be costly. There is a lot that can go wrong on a resume. However, this time weve focused on a few mistakes that will certainly haunt you later on in your job search. 1. Typos Grammatical Errors These are one of the easiest mistakes to avoid, but also one of the most common. While having a typo or two may not seem like a big transgression, they can cause hiring managers to hesitate when considering contacting you. Many will have the mindset that if you allow errors in your resume, that you would also allow those errors into your work. Nobody is perfect, and its possible that you left a few small typos and mistakes throughout your resume when composing it. The problem is, if you proofread it, youre likely to miss them. However, there is a good solution to this problem. Find someone else who can look over your resume! A second pair of eyes will have a better chance of catching the mistakes you missed, and they should also be able to offer some constructive feedback. If a second person isnt an option, one thing you can do is read through your resume backwards. This makes it harder to skip over mistakes, since you dont breeze past them in sentences. Just keep in mind the best option will always be a second pair of eyes! 2. Including a Photo Considering including a photo on your resume? You may want to think twice! Having a photo on your resume can easily distract from your qualifications. The last thing you want is for a hiring manager to be focused on your photo instead of how qualified you are for the position. It also makes it easier for them to be biased when deciding to hang on to your resume or not. If youd like a more thorough guide to why its not in your best interest to have a photo, check out our blog on the topic. 3. Employer Contact Information Its surprising that this still occurs, but many candidates will put contact information about their current place of employment. Its okay to put the city and state, but putting your managers name is unnecessary. It may also make a hiring manager think it is acceptable to contact them, which would be bad if you are keeping your job search secret. While including a managers name is a mistake, including your work phone number is far worse. This will almost always come back to haunt you. Trying to field calls from recruiters at work wont end well. It makes it very challenging to keep your job search under wraps. You dont want to have to awkwardly ask a recruiter to call you back with all of your coworkers within earshot. Make sure the only number you include on your resume is your cell phone! 4. An Unprofessional Email Address This is an incredibly strange phenomenon. Some of best resumes we see from qualified candidates are great except for one thing: their email. Its incredibly jarring to be overlooking an immaculately laid out and presented resume, and then see an email such as ILovePonies@gmail.com at the top. Most candidates dont even consider how an unprofessional email looks, since theyve used it for so long. However, having one can certainly discourage a hiring manager from reaching out. Consider adopting an email containing your first and last name that is for your professional endeavors. 5. Lying Stretching the truth on your resume is never a wise move, and will always come back to haunt you. Companies carry out background and reference checks for a reason, and they will discover if you are being untruthful on your resume. What may begin as just a small change to a job title could cause a hiring manager to question your honesty. This is the last thing you want a hiring manager to call into question. Be truthful on your resume, and apply with confidence. While you may think a white lie here or there may get you a job interview- explaining the lies later on will cost you the job offer. Next time youre wondering why you never received a call after applying, remember it could be because one of these mistakes are haunting you! While there are certainly more possible resume mistakes to make, these are the ones that may catch you off guard in the future. We hope the suggestions provided help you avoid any future mistakes!