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Test Number : HPE0-S50
Test Name : Integrating HPE Synergy Solutions
Vendor Name : HP
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HPE0-S50 test Format | HPE0-S50 Course Contents | HPE0-S50 Course Outline | HPE0-S50 test Syllabus | HPE0-S50 test Objectives

Exam ID : HPE0-S50
Exam type : Proctored
Exam duration : 1 hour 30 minutes
Exam length : 60 questions
Passing score : 68%
Delivery languages : Japanese, English
Supporting resources : These recommended resources help you prepare for the exam:
Implementing HPE Composable Infrastructure Solutions, Rev. 19.21

This test has 60 questions. Here are types of questions to expect:
- Input Numbers
- Matching
- Multiple choice (multiple responses)
- Multiple choice (single response)
- Drag-and-drop
- Point and click

This certification validates candidates ASE level skills integrating HPE Synergy solutions. Successful candidates will be able to demonstrate appropriate expertise with:
Planning and designing Synergy solutions
Installing, configuring, and setting up Synergy solutions
Troubleshooting Synergy solutions
Managing, monitoring, and maintaining Synergy solutions

17% Plan and Design Synergy Solutions
-Given an architects design, validate the solution is complete and the site is prepared for implementation.
-Given a scenario, validate the solution design for compatibility and workload requirements against the existing infrastructure
-Given a scenario, identify the required components for an implementation plan.

42% Install, Configure, and Set Up Synergy Solutions
-Describe the installation process and start-up procedure for solution components.
-Describe how the advanced configuration of the solution components is performed.
-Describe how to validate proper solution functionality.

23% Troubleshoot Synergy Solutions
-Given a scenario, use the appropriate tools to analyze an identified issue.
-Given a scenario with an issue, explain appropriate steps for resolution.
-Given a defined issue and action plan, explain the consequences and implications of the proposed actions.
-Identify appropriate measures to limit reoccurrences of resolved issues.

18% Manage, Monitor, and Maintain Synergy Solutions
-Identify appropriate tools to gather performance data and establish a baseline.
-Given a customer environment, determine installation order of upgrades and the potential effect on the customer's environment.
-Given a customers performance data and solution design, identify the bottleneck.
-Given performance analysis information, identify changes in customer workloads and determine the necessary steps to include in the action plan.
-Using support matrices, evaluate software and firmware compatibility.
-Describe methods for modifying configuration of components, including configuration templates, to meet changing customer requirements.

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HP HPE outline

right big data businesses | HPE0-S50 PDF Questions and Real test Questions

additionally see: top 15 data Warehouse tools

additionally: big statistics Startups to monitor

And: appropriate 20 large records application functions

most useful throughout - a self carrier choice with an intuitive drag and drop interface.

Free Trial

presents visualization of statistics from any supply, from Hadoop to Excel files.

See business information

first rate alternative for companies that comprises the core Hadoop expertise for amassing and growing huge information.

See company data

The huge data market is enjoying dramatic boom, in accordance with the surging hobby in the aggressive abilities provided with the aid of large records analytics. indeed, big information utility continues to be in sharp growth mode, with huge advances in predictive analytics equipment and data mining tools, together with next-gen artificial intelligence.

in short, facts analytics runs the world. even as you examine this, teams at businesses the world over are peering at records analytics software tools.

The big facts trade itself is the very image of swirling change. New companies, new products, new strategies and methodologies – exchange is a relentless. big statistics startups attempting to find a bit of the pie, doing their premier to steal market share from the blue chip organizations that gained the business intelligence utility market.  

So, which tools and systems should you opt for? listed below are 25 of the correct massive records businesses to agree with in the huge statistics world.

Please notice: this checklist is not a rating. The groups on this record serve different facets of the market, making ranking them in any order past profits unattainable and unfair.

Big Data Companies

big statistics groups are forecast to peer dramatic income raises in the years ahead.


Having centered itself as a SaaS chief in office productiveness and CRM equipment, Zoho presents a versatile records analytics platform geared for each expert records scientists and mid-stage staffers who desire a self-service option. The application has an intuitive drag and drop interface as well as a classic spreadsheet-trend interface. Zoho Analytics is geared for agencies that are looking to provide actionable facts analytics perception to staffers at each stage.

visual BI options

visual BI presents cloud-primarily based or in-apartment business intelligence utility that allow easy-to-bear in mind visualizations of a company’s data traits. actually, the business lives as much as its identify: if you desire a colorful, visual representation of your information, that’s exactly what visual BI is geared for: bar charts, tables, line graphs – the business’s answer represents records visually in numerous alternative ways. The product has been referred to as an outstanding cost for the money. concentrated on one of the most extra wide-spread structures, visible BI has products designed for Microsoft energy BI and SAP business intelligence utility. it really is, visual BI presents customized visual extensions to those SAP and Microsoft BI platforms. |For customized assist, visual BI continues a world support desk.


Salesforce, the king of SaaS, grew to be a software seller when it announced plans to purchase Tableau programs, a knowledge visualization firm that has accelerated from its original mission to include huge facts analysis. It offers visualization of records from any supply, from Hadoop to Excel info. Salesforce has its own massive data tools in joined studies, which lets consumers evaluate different records units within the hopes of getting insights from consumer facts.


Managers and executives can’t mine insights from massive records structures with a top quality information source. That’s where XPlenty is available in: the enterprise presents a cloud-based ETL answer. To be certain, the process of extract, seriously change and load is on the very core of an efficient big data procedure. The XPlenty platform is geared to provide a sophisticated toolkit for building facts pipelines, connecting a diverse array of facts storehouses and cloud-based mostly applications. The enterprise’s client list contains Deloitte, Accenture, Catepillar, Abbott, and PWC.


Cloudera merged with Hortonworks, in a marriage of the two largest Hadoop providers. while each concentrated on the Hadoop market they took diverse techniques – and the mixed company continues to pivot. The backstory: Hortonworks centered greater technical users and took a pure open source approach, whereas Cloudera went for the IT market and provided some proprietary tools. In 2020, Cloudera touts itself as providing "an commercial enterprise data cloud for records, from the side to AI."


With an exclusive focal point on statistics analytics, Datafactz has a few vertically-based mostly analytics solutions for key sectors, including retail, automobile, manufacturing, healthcare, coverage and banking. The business’s social media analytics, as an instance, is geared to video display, analyze and file on person generated content, the use of sentiment evaluation – poor to high quality – with the purpose of providing insights in an quite simply digestible structure. based in 2002, the enterprise has 950 personnel and claims a hundred twenty five valued clientele. Datafactz’s customer listing contains hole, Coca-Cola, The Cheesecake factory, and AAA.


long prevalent for its records warehouse products, Teradata also a portfolio of large data apps referred to as its Unified records architecture. Teradata QueryGrid provides a seamless records textile across new and latest analytic engines, together with Hadoop. Teradata Listener is the fundamental records intake framework for organizations with assorted facts streams. Teradata team spirit is a portfolio of four built-in items for managing information move right through the method. Teradata standpoint is a customized web-based dashboard of tools to manipulate the Teradata environment.


IBM helps large information analytics through a number of databases, including DB2, Informix, and InfoSphere. It also has accepted analytics functions similar to Cognos and SPSS. in terms of pure massive statistics, IBM has its own Hadoop distribution, stream Computing to function actual-time records processing, IBM BigInsights for Apache Hadoop, and IBM BigInsights on Cloud providing Hadoop as a service via IBM Cloud.

HP enterprise

HP commercial enterprise’s main massive data product is Vertica Analytics Platform, designed to manipulate a large quantity of structured data with quickly query efficiency on Hadoop and SQL Analytics. It also has Vertica superior Analytics for deployment across assorted clouds, commodity hardware, and on any Hadoop distribution device. HPE also has HAVEn, a big statistics platform obtainable on demand concentrated on computer studying.

HPE has a number of hardware products, together with HPE Moonshot, the ultra-converged workload servers, the HPE Apollo 4000 purpose-constructed server for huge facts, analytics and object storage. HPE ConvergedSystem is designed for SAP HANA workloads and HPE 3PAR StoreServ 20000 shops analyzed statistics, addressing latest workload calls for and future boom.


SAP's main massive records tool is its HANA in-reminiscence relational database that works with Hadoop. HANA is a standard row-and-column database, nonetheless it can function superior analytics, like predictive analytics, spatial statistics processing, textual content analytics, textual content search, streaming analytics, and graph facts processing and has ETL (Extract, radically change, and cargo) capabilities. SAP additionally presents statistics warehousing to control all of your statistics from a single platform, cloud capabilities, in addition to records management tools for governance, orchestration, cleaning, and storage.


Oracle has a committed massive information equipment server preloaded and configured with a number of Oracle application items. This includes Oracle self sustaining facts Warehouse, Oracle NoSQL Database, Apache Hadoop, Oracle statistics Integrator with software Adapter for Hadoop, and Oracle Loader for Hadoop. It additionally has a few on-premises and cloud-based mostly analytics products as well as integration platforms and streaming analytics to address records because it is available in.


The Apache Hadoop utility library continues to be the framework for large records however many vendors have taken the framework and built their own proprietary and unique functions on it. the base system gives a top level view to do your own customization and is designed to scale up from a single server to lots. Apache also offers Spark, which does in-reminiscence, actual-time processing. Apache also presents Storm, a true-time, fault-tolerant processing device designed to run parallel calculations that run across a cluster of machines.


SiSense sells its Prism to the greatest companies and some SMBs alike as a result of its small ElastiCube product, a high-efficiency analytical database tuned exceptionally for true-time analytics. ElastiCubes are tremendous-quickly records stores that are especially designed for wide querying. they are located as a less expensive option to HP's Vertica methods.


HPCC stands for top-performance Computing Cluster and become developed by means of LexisNexis possibility solution. It supplies on a single platform, a single architecture and a single programming language (C++) and a data-centric programming language known as ECL (enterprise manage Language) for information processing. Its Thor platform is designed for prime efficiency parallel batch processing.


Alteryx brings big data analytics processing to a wide variety of everyday databases, together with Amazon Redshift, Apache Hive, Cloudera Impala, numerous Microsoft databases, SAP HANA, Teradata, Oracle, and extra to operate analytics inside the database. and not using a coding required, consumer can choose, filter, create formulation, and construct summaries the place the records lies. Queries can be crafted from anything from a background of income transactions to social media pastime.


Microsoft's huge information strategy – helped by its Azure cloud platform – is fairly vast and has grown fast. It has a partnership with Hortonworks and offers the HDInsights device based for inspecting structured and unstructured records on Hortonworks records Platform. Microsoft also offers the iTrend platform for dynamic reporting of campaigns, brands and individual products.

SQL Server 2016 comes with a connector to Hadoop for huge statistics processing, and Microsoft recently obtained Revolution Analytics, which made the only large facts analytics platform written in R, a programming language for building large information apps without requiring the talents of a data scientist.


Thoughtworks is the enterprise of many executives necessary to the advent of Agile software construction principals and has constructed Agile construction techniques into its equipment for building huge facts applications. Its Agile Analytics items practice Agile principals for constructing facts warehousing and enterprise intelligence applications, the use of continuous integration and continuous start.


Talend Platform for big information is an open source application integration platform to join Hadoop, NoSQL, MapReduce and Spark notably for integration to function extract, load, and radically change (ETL) method on MapR huge and distinctive information sets for more desirable insights or process optimization. For true time ETL, Talend helps Spark streaming, computer learning, and IoT.

Amazon net features

Amazon net features presents an array of huge statistics products, the main one being the Hadoop-based Elastic MapReduce (EMR), plus Athena for basic database analytics, Kinesis and Storm for real-time analytics, and a number of databases, including DynamoDB massive information database, Redshift, and NoSQL.

Naturally, AWS advantages tremendously in the information market from its overwhelming cloud presence. Many valued clientele flip to their present cloud issuer to buy massive information features, which create a big natural funnel for AWS.


Splunk business begun as a log evaluation device however has when you consider that multiplied its focal point to consist of machine records analytics for monitoring end to conclusion transactions for any threats or unusual habits. Splunk’s big facts options include Splunk Analytics for Hadoop to do the analytics, the Splunk ODBC Driver for connecting to enterprise purposes like Tableau, and Splunk DB connect for connecting to quite a lot of statistics sources.


Google continues to extend on its large information analytics offerings, beginning with BigQuery, a cloud-primarily based analytics platform for right now examining very huge datasets. BigQuery is serverless, so there is no infrastructure to control and you don't need a database administrator, it uses a pay-as-you-go model.

Google additionally offers Dataflow, a real time facts processing carrier, Dataproc, a Hadoop/Spark-based provider, Pub/Sub to connect your services to Google messaging, and Genomics, which is focused on genomic sciences.


TIBCO has a number of choices, starting with Spotfire for performing visible analytics, Statistica for relocating records around via advanced pipelines for processing, and the Alpine statistics Labs advanced analytics interface on Apache Hadoop that offers a collaborative, visible atmosphere for constructing analytics workflow and predictive fashions. Tibco's Jaspersoft subsidiary has delivered an hourly providing on Amazon's Cloud where that you could buy analytics starting at $0.48 per hour.


Pentaho is a suite of open supply-based mostly tools for enterprise analytics that offers information integration, OLAP services, reporting, a dashboard, facts mining and ETL capabilities. Pentaho for huge facts is a knowledge integration device based mostly certainly designed for executing ETL jobs in and out of massive facts environments similar to Apache Hadoop or Hadoop distributions on Amazon, Cloudera, EMC Greenplum, MapR, and Hortonworks. It additionally helps NoSQL data sources equivalent to MongoDB and HBase. The company turned into got through Hitachi data techniques in 2015 however continues to function as a separate subsidiary.


Datameer presents a unified platform for end-to-end facts analytics solutions on Hadoop. It permits business clients to discover insights in any information by way of wizard-primarily based information integration. Datameer’s platform covers the complete statistics lifecycle, from ingestion, practise, exploration, and eventually consumption. This allows for analysts to create and control their personal analytic data pipelines for factor-and-click on analytics and drag-and-drop visualizations, in spite of the facts class, measurement, or supply.


Alation crawls an commercial enterprise to catalog each bit of suggestions it finds after which centralizes the organization's skills of records, automatically shooting counsel on what the data describes, the place the records comes from, who's using it and the way or not it's used. In different phrases, it turns all your information into metadata, and enables for speedy searches the use of English phrases and not desktop strings. The business's items give collaborative analytics for sooner insight, a unified capability of search, offers a more optimized information constitution of the enterprise's information, and assists in enhanced records governance.


BigPanda’s self sustaining Operations platform helps IT, networking, and DevOps groups realize, examine, and get to the bottom of IT incidents sooner with the aid of monitoring logs, with an emphasis on alert overloads. Logs are a primary supply of information nevertheless it’s convenient for a team to be overwhelmed with redundant or false alerts. BigPanda correlates IT noise into insights, automates incident management, and unifies fragmented IT operations.

Splice computing device

Splice machine expenses itself as the provider of the simplest Hadoop-primarily based relationship database management system (RDBMS) which does on-line and offline batch analysis and in actual time. it will possibly act as a usual-purpose database that may change SQL databases like Oracle, MySQL, or SQL Server in a Hadoop ambiance. The Splice laptop RDBMS executes operational workloads on Apache HBase and analytical workloads on Apache Spark.


formerly referred to as WebAction, Striim is a real-time, statistics streaming analytics software platform that reads in facts from varied sources comparable to databases, log files, purposes and IoT sensors and allows for shoppers to react immediately. companies can filter, transform, mixture and enrich information because it is coming in, organizing it in-memory earlier than it ever lands on disk.

Mu Sigma

Mu Sigma offers an analytics functions framework specially for huge firms that are designed to increase sales and advertising. It cleans up customer statistics to reveal simplest crucial suggestions, uses the facts to have in mind it, generates insights from it and offers concepts to the client. It presents advertising analytics to cover income patterns and customer engagement together with chance analytics, similar to predictive modeling of claims, credit scoring, fraud detection and prediction, and so on.

Alpine information Labs

A advent of Greenplum employees, Alpine data Labs places a simple-to-use advanced analytics interface on Apache Hadoop to supply a collaborative, visible environment for constructing analytics workflow and predictive fashions that any individual can use, rather than requiring a luxurious information scientist to application the analytics.


A totally vertical however essential carrier, Cogito Dialog makes use of behavioral analytics know-how, including analysis of customer interactions ranging from emails to social media to human voice analysis all through provider calls to support cellphone guide personnel Excellerate their communications while on the mobile with valued clientele and to assist groups stronger control agent efficiency. Cogito’s application evaluates a whole bunch of behavioral indicators via voice to deliver live dialog teaching for brokers and a true-time measure of customer adventure for each call.

New Relic

New Relic is one of the few massive data vendors that makes use of a SaaS mannequin in place of on-premises. Its services monitor internet and cell applications in true-time that run within the cloud, on-premises, or in a hybrid combine. It screens the app for any competencies problems with the consumer adventure, and New Relic Insights offers a dashboard for user habits and utility performance.


VMware has a large records extension in its flagship virtualization product referred to as VMware vSphere huge records Extensions (BDE) designed to handy the deployment and management of Hadoop clusters below vSphere. It helps a number of Hadoop distributions, including Apache, Cloudera, Hortonworks, MapR and Pivotal. through vSphere vCentral, Hadoop clusters can be managed and scaled as demand raises.

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