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1Z0-481 exam Dumps Source : Oracle GoldenGate 11g Certified Implementation Essentials
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Vendor cognomen : Oracle
: 79 true Questions
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Sep 14, 2010
Oracle has brought Oracle GoldenGate 11g and Oracle records Integrator industry version 11g, novel releases of the two items that profile the groundwork of Oracle's data integration product line. Oracle GoldenGate 11g provides precise-time records integration and incessant availability for mission-important programs through its low-have an impact on, low-latency information acquisition, distribution and rise capabilities, and Oracle records Integrator enterprise version 11g provides loading and transformation of facts into a learning warehouse environment via its excessive-efficiency extract, load and seriously change (E-LT) know-how.
the brand novel products, a fraction of the Oracle Fusion Middleware product family, tender tighter integration with Oracle purposes and technologies, aid for further heterogeneous techniques, and better efficiency. These releases expose Oracle's commitment to leading in this market of heterogeneous information integration, offering for consumers "real-time data integration for the enterprise with a extremely hastily time to value," Miranda Nash, vice chairman of product administration, Oracle facts Integration, tells 5 Minute Briefing. The requirements posed by using global competitors and incessant uptime are driving businesses to want sooner determination-making. "that's really what they acquire with true time facts integration."
providing integration with Oracle purposes and Oracle applied sciences, Oracle GoldenGate 11g is licensed for operational reporting options on Oracle purposes corresponding to Oracle E-business Suite, Oracle PeopleSoft and Oracle JD Edwards; and Oracle GoldenGate 11g is now licensed with Oracle Exadata Database computer. Oracle GoldenGate 11g additionally comprises novel aboriginal start to Oracle TimesTen databases. Oracle records Integrator commercial enterprise version 11g offers integration with Oracle JDeveloper and Oracle enterprise supervisor, improving assist for the entire lifecycle from developer productiveness to manageability. in addition, Oracle statistics Integrator enterprise version 11g presents an integrated design atmosphere with Oracle GoldenGate 11g's log-primarily based, real-time alternate information capture and start capabilities. The solution makes it feasible for valued clientele to set up precise-time information warehousing solutions devoid of impacting supply systems or batch window dependencies.
there is additionally elevated aid for heterogeneous programs and interoperability enhancements, notes Nash, explaining, "We recognize that their largest shoppers in particular are coping with complex heterogeneous environments." Oracle GoldenGate 11g supports log-primarily based seize from, and start to, IBM DB2; trap from JMS-based messaging programs and delivery to IBM DB2 for iSeries; and Oracle facts Integrator commercial enterprise edition 11g offers additional aid for on-line analytical processing (OLAP) programs together with Oracle Essbase.
For more advantageous efficiency, Oracle data Integrator commercial enterprise edition 11g's E-LT capabilities enable sooner and extra productive loading and transformation of true-time information into a data warehouse, and Oracle records Integrator commercial enterprise version 11g now runs on Oracle WebLogic Server, additional enhancing scalability and efficiency. moreover, Oracle GoldenGate 11g for the Oracle Database offers simplified healing to gash back the healing window for lengthy running transactions that relish interruption. It additionally gives superior transaction tracing to extra with ease determine bottlenecks after which tune the statistics integration environment for top-quality efficiency.
And, to extra accomplish sure that tips is accurate and constant across complicated programs, Oracle too introduced Oracle facts high-quality for statistics Integrator 11g and Oracle statistics Profiling 11g, which are too fraction of Oracle's statistics Integration product line.
For more guidance about Oracle statistics Integration options, recede here.
down load free evaluation version of Oracle GoldenGate 11g and Oracle statistics Integrator enterprise edition 11g.
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My certification journey began way back in 2003, two years after I finished my higher education and was primarily directed by a fire for improving my skills and giving me the learning to establish myself apart from the squash in the career market.
On a side note, the latter objective has become less principal than the former. Although, the fact that I had earned the Oracle Database 12c — Advanced Administration certification and it worked as a significant role in landing my dream job at the best telecommunications company in Singapore.
As I went on upgrading my Oracle certification to 10g and then 11g, it became simple that the true value of certification was in extending their boundaries by proving just how miniature one understands! Technology advances. It’s a reality of life, and if they withhold on doing stuff the way they’ve always been done, they stifle and discontinue developing. Several aspects which were revealed during the preparation of the certification exams accommodate consequently been completed in the workplace.
Finally, I was left with the ultimate test; the Oracle Database 11g — Performance Management and Tuning certification (OCE) exam…a blend of skill, preparation and how well one manages under the stressful environment. There were outright sorts of the horror movies reclining in wait, from those who accommodate long since passed because of NDA violations, but they just fuelled the fire. After two exhausting days, I expected the final result for three weeks…worried because I thought I had tried to breathe too quick-witted for picking self-study option rather than joining any coaching. My results were positive, much to my relief. It truly is the apex certification for any Oracle Database professional, and I cannot recommend it extremely enough as a test of yourself and your skills.
Over the next 20 months, I remained on the path to learning more and more about the different novel features in Oracle Database 12c, focusing on RAC, Oracle GoldenGate, and Dataguard. I will too declare that I failed the terminal examination on the first attempt. I did not accommodate the commandeer study material and built my course from the online resources. This was no justification, as the current Oracle certification syllabus give an exceptional equipoise of what the documentation says and placing you in real-world situations where you accommodate to apply yourself to the situation presented. And eventually, it presented me with another learning break, which I devotedly grabbed and achieved the Oracle certification on the second attempt. And it doesn’t finish there. The journey into the Oracle cloud certification is gaining speed, and along with Oracle Spatial 11g Essentials, there are many more unknown paths to venture down and acquire from.
An Oracle Certification is an important, industry-recognized certification that indicates a proven even of learning and skill. Each higher even of Oracle certification delivers a higher measure of measured skill and expertise, which leads to excellent opportunities and higher pay scale.
Oracle certification most definitely has worth. It’s so much more than the PDF produced upon completion. It’s a scope to learn and foster oneself, and that is a drive they should outright continually breathe on. I’ll finish off with a quote from distinguished Irish bard William Butler Yeats,“Education is not filling a pail but the lighting of a fire.”
At the rise of December, Oracle released WebLogic Server 12c, succeeding version 11g, which was first released in July 2009. The novel version of WebLogic is the first release of the application server to fully champion the Java EE 6 standard, originally approved in December 2009. In addition, WebLogic Server 12c is a key fraction of Oracle's entire cloud strategy, and is the recommended application server infrastructure for Oracle Exalogic Elastic Cloud. Whilst a number of other vendors tender Java EE Web Profile support, Oracle's plans for its Public Cloud are more extensive. "Our target for delivering Java EE 6 champion (via Oracle WebLogic Server 12c) in the Oracle Public Cloud is calendar year 2012, and that will comprehend champion for EJB 3.1", Vice President of development at Oracle, Cameron Purdy, told us. "While champion for JMS is planned for the Oracle Public Cloud, they accommodate not yet announced when it will breathe supported."
One of the stated themes of Java EE 7 is cloud support, so they asked Purdy how suitable Java EE 6 was as a basis for cloud deployment
One of the key themes of Oracle WebLogic Server 12c is supporting mission critical, large-scale cloud deployments. Oracle WebLogic Server 12c is unique in that it can breathe used in conventional data heart infrastructures to deliver a private cloud solution, it is the centerpiece of Oracle Exalogic Elastic Cloud – Oracle's hardware and software engineered system delivering a highly optimized and efficient, on-premise, out of the box cloud solution, and finally is the underlying infrastructure of the Oracle Public Cloud.
Specifically to the question, Platform-as-a-Service (PaaS) cloud infrastructures require a minimal set of components in order to host applications effectively. These comprehend a lightweight and standards-based Java server, a Java framework for edifice cloud applications, an in-memory data grid for caching and clustering, elasticity to adjust to workload variations, integrated traffic management to route traffic throughout the elastic infrastructure, virtualization for optimal exhaust of server resources, and simple provisioning – typically via self-service interfaces. Frequently this ilk of cloud solution is paired with an Infrastructure-as-a-Service (IaaS) solution to complete the offering. Oracle WebLogic Server 12c provides these core components:
These are the very capabilities that customers can exhaust today to build a private cloud on their conventional hardware in their data centers. These are the very capabilities that can breathe used by their customers to create a highly optimized cloud infrastructure on Oracle Exalogic Elastic Cloud. And finally, these are the very capabilities that are being used as the basis for their own Oracle Public Cloud at cloud.oracle.com. Ultimately, many of the things that they learn from working with their customers and delivering their own public cloud will breathe fed back into the Java EE 7 working groups that are actively creating Java EE 7. As one would expect, before something becomes standardized, the industry and their community fancy to notice the concepts successfully implemented in order to ascertain their viability. Oracle's delivery of the Oracle Public Cloud and Oracle Exalogic Elastic Cloud based on Oracle WebLogic Server shows that this is feasible with Java EE 5 and 6 and provides field-tested, real-world input for Java EE 7 and its standardization process.
As Purdy notes, WebLogic includes a number of features over and above the Java EE 6 standard, such as
Purdy told us:
In broad strokes, the "outside the specification" travail generally focuses on these themes: simpler deployment and management, developer productivity, and the perennial focus on performance, reliability, availability, and scalability.
One of the first items that we'd fancy to highlight outside of the Java EE specification is the aptitude to seamlessly upgrade from Oracle WebLogic Server 11g; this is critical for the many thousands of existing customers and users on that version. Also, Oracle WebLogic Server now supports GlassFish web application deployment descriptors, making it even simpler for an application developed on GlassFish to breathe deployed to Oracle WebLogic Server.
Regarding performance and scalability, which is always a focus district for Oracle WebLogic Server, the integration with Oracle true Application Clusters (RAC) offers a vast improvement over the original multi-datasource implementation. The new “GridLink data source” capability is RAC-aware, and offers significantly better performance and runtime connection load balancing. For example, when an application needs a novel connection, the underlying notification service is already actively monitoring how load is spread across the database cluster, and thus enables the optimal RAC node to breathe chosen for the novel connection.
Available with WebLogic on the Oracle Exalogic Elastic Cloud platform, Oracle Traffic Director (OTD) provides highly-available, extreme-performance traffic shaping and routing capabilities, along with dynamically configurable caching, load-balancing and high-performance proxy champion for HTTP-based applications running on Oracle WebLogic Server and Oracle Fusion Middleware. Oracle Traffic Director can deliver a three-to-four-times performance boost for applications running on Oracle WebLogic Server and Oracle Fusion Middleware, compared to traditional web-based architectures, thanks to the optimizations included in their Oracle Exalogic Elastic Cloud engineered system, such as replete hardware acceleration for SSL and dynamic compression using Intel's new Advanced Encryption Set and Integrated Performance Primitives.
Oracle too makes distinguished play of how the integration between Oracle WebLogic Server and Oracle true Application Clusters helps in terms of Reliability and Availability
For example, Oracle WebLogic Server automatically detects and attempts to compensate for failures, since Oracle WebLogic Server is vigilant of database node availability in true time. It load-balances more intelligently and with less possibility for outage. Many of their customers already confidence on Oracle GoldenGate or Oracle active Data Guard for database towering availability, and now Oracle WebLogic Server can re-use these same facilities to provide towering availability for Java EE applications across data centers. By storing transaction logs, JMS messages and other application data in the Oracle Database, Oracle WebLogic Server leverages a simple, robust, well-known and widely implemented cataclysm recovery architecture. This outright works in concert with the other capabilities we've described, such as active Gridlink.
Given the steep pricing differential between WebLogic (which is around $45,000 per processor, plus $9,900 in annual support), and GlassFish (which is free, but an Oracle supported version is $5,000 per processor along with $1,100 in yearly maintenance fees) they asked Purdy when he would elect WebLogic over GlassFish.
First, it’s principal to attach this into context: Purchasing enterprise software isn't fancy buying a drink from a vending machine. Customers often accommodate an existing, long-term relationship with Oracle, and mind to purchase a large number of licenses for a number of different products, allowing them to aggregate their buying power across departments and divisions, which translates to a lower cost-per-unit. Oracle too has a number of programs specifically designed to profit small-to-medium sized businesses and start-ups gain lower-cost access to their enterprise offerings.
Secondly, over a era of time even as petite as 2-5 years, the license cost of enterprise software becomes a relatively petite fraction of the overall cost of the system. As one example, a recent study showed that Oracle WebLogic Server cost 35% less than JBoss over a five-year period. That means that anything that reduces the cost of operation over time will accommodate a dramatically larger impact in reducing the overall cost of the system. For example, Oracle WebLogic Server tends to require fewer servers to champion a given amount of load, and for a given number of servers, it requires significantly fewer administrators to operate and maintain those servers. There are many thousands of companies that purchase Oracle WebLogic Server because – having considered their options – Oracle WebLogic Server saves them huge amounts of money compared to using "free" software.
As you note in your question, Oracle GlassFish Server is a commercial offering of GlassFish Open Source Edition. GlassFish serves several purposes including being the basis for the reference implementation of Java EE – as well as being hugely common with Java developers. GlassFish continues to breathe a cornerstone of the Java EE community, and we're incredibly supercilious of its adoption, the way that it has continued to drive the Java EE platform forward, the vibrancy of the community that has grown up around it, and the altenative that it has provided to their customers.
Oracle WebLogic Server is used far more frequently in production enterprise application infrastructure, due to a significant number of essential enterprise features – many of which I've already covered as fraction of the WebLogic Server 12c release. withhold in intellect that WebLogic Server 12c is based on the very hardened, secure, reliable, highly available, scalable and performance-proven application server infrastructure that customers accommodate been running in large-scale enterprise deployments for over a decade! Now in Oracle WebLogic Server 12c this has been further extended to comprehend profound Oracle RAC integration, aboriginal Oracle Coherence integration, replete Oracle Enterprise Manager 12c manageability, diagnostics, administration, and an optimized virtualization infrastructure with Oracle VM and Oracle Virtual Assembly Builder, amongst other extensions and features. These are capabilities that are not available on Oracle GlassFish Server – and many of these capabilities are available nowhere else. Some of these capabilities, such as the Oracle RAC integration, active GridLink for RAC accommodate operational efficiencies that can more than accomplish up for the cost of the entire product.
Furthermore, Oracle WebLogic Server's novel continuous availability architecture, that uses cataclysm Recovery (DR) integration with the database, allows their customers to quickly roll out continuous availability solutions at a fraction of the cost of previous approaches. For developers, what is novel and enthralling in Oracle WebLogic Server 12c – in addition to the Java EE 6 replete Profile compliance – is the litany of features designed to accomplish the developer relish extremely fast, lightweight and agile. These comprehend capabilities fancy direct Apache Maven integration for dependency management, a lightweight zip distribution – almost 6x smaller than the replete deployment platform distribution – and certification and integration with Java SE 7.
In addition to outright these characteristics, Oracle WebLogic Server is the platform that Oracle Fusion Middleware, Oracle Fusion Applications and the entire portfolio of Oracle applications depend on as their enterprise Java server. If and when customers require other components of Oracle Fusion Middleware or Oracle Fusion Applications, Oracle WebLogic Server is generally the default altenative due to the tight, out of the box integration. Oracle WebLogic Server too incorporates specific optimizations for the Exalogic Elastic Cloud that dramatically extend performance and reliability as fraction of Oracle's engineered systems approach. Lastly, Oracle WebLogic Server provides the infrastructure for the Java service in the Oracle Public Cloud, making it feasible for their WebLogic customers to chase easily among their own infrastructure, their Exalogic engineered systems, and the Oracle Public Cloud. outright in all, most customers adopt Oracle WebLogic Server for their enterprise-scale Java applications, both for the developer and enterprise deployment features.
Finally, given that it has taken near on two years for Oracle to succumb a Java EE 6 compliant version of WebLogic, they asked Purdy if he felt that reflected declining importance of the platform?
Oracle has really taken its stewardship of the Java platform very seriously, and has benefited significantly with the technical talent that joined Oracle from Sun. I'd fancy to point out that Oracle was the first to market with Java EE 6 – over two years ago! – with GlassFish Server providing the reference implementation of Java EE 6, and available in open source to the entire Java EE community. Between then and now, and due to the demand for Java EE 6, Oracle incrementally added some of the most common Java EE 6 APIs into Oracle WebLogic Server 11g as optional features that customers could adopt early, including JavaServer Faces 2.0, Java Persistence API 2.0, and Java API for RESTful Services. With the release of Oracle WebLogic Server 12c and the replete platform champion of Java EE 6, their customers now accommodate access to the complete API set.
Would they rather accommodate had this release done two years ago? Of course! They are too joyful to accommodate it available now, and the adoption rate of Oracle WebLogic Server 12c is very towering as the pent-up demand is finally unleashed.
As for the reasons that this particular release is later than they desired, that has much more to achieve with their travail to integrate Oracle WebLogic Server fully into Oracle Fusion Middleware, following the BEA acquisition, than any reflection on the value of the platform. Many of the features that they accommodate announced over the past year or so – including some of the distinguished features of this Oracle WebLogic Server 12c release, fancy active GridLink for RAC – accommodate taken many person-years of development to create. Creating taut integration with their management tools and other infrastructure has too been a huge investment, but it's one that their customers accommodate clearly seen the value in, and they are joyful to accommodate successfully completed these efforts.
The Java EE platform itself has dramatically increased in importance in Oracle's view, particularly in their vision for creating a seamless path for application developers affecting to the cloud. Java EE 6 itself vastly increased developer community interest, and in many ways exceeded its goals as a modern, standards-based, and lightweight platform. In fact, Java EE versions 5 and 6 almost completely reversed the "heavyweight" label that had dogged earlier versions of Java EE. As you can notice by Oracle's investment in the stewardship of Java – most recently reflected by the launch of Java SE 7 this past summer and the hugely successful JavaOne 2011 – they continue to invest in the Java platform heavily, and to travail closely and cooperatively with the industry and the community in order to create a platform that is far more successful than any of us could create alone.
We believe Java EE, as an district of cooperation across their industry and as a standard, is faultfinding to the forward momentum of cloud in the industry, and to avoid customer lock-in into proprietary cloud programming models. They clearly notice Java EE 7 as a fecund ground for standardizing the many innovations they and others in this industry are pioneering in the cloud, so that their enterprise customers accommodate productive, robust, standards-based enterprise infrastructure, designed for the cloud.
Oracle WebLogic Server 12c is currently supported on Eclipse (via the Oracle Enterprise Pack) and the NetBeans IDE, with Oracle JDeveloper champion coming later in 2012. More information, including a download, are available here.
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The term Big Data reflects a very true growing trend. By 2020, every human will breathe generating 1.7 MB per second. That will add up to 44 trillion GB, according to IDC. Contributing to the total are some 40,000 Google search queries per second, more than 30 million Facebook postings and almost 3 million videos per minute generated by millions of smart phones and billions of Internet of Things (IoT) devices.
The number of Big data certifications is mushrooming, too, though not quite at the very pace. These qualifications arrive from vendors, educational institutions, and independent or industry bodies. They are in distinguished demand.
But those wishing to augment their skill set should inspect carefully before they leap. Within the Big data sector are dozens of specialties. These comprehend Big data system administration, Hadoop, analytics, data science, Big data storage/security and general industry Intelligence (BI) certs that comprehend Big data. Further, vendor platforms can often determine what would breathe the best credentials to profit the individual to acquire ahead in his or her career.
Bill Reynolds, an analyst at Foote Partners, said the growth of the IoT is fueling more demand for Big data skills, particularly in analytics disciplines.“Predictive data and analytics are now considered a backbone of rapidly growing IoT,” he said. “This skillset is particularly valuable since privilege now there is a shortage of people with Big data talents.”https://o1.qnsr.com/log/p.gif?;n=203;c=204651744;s=9478;x=7936;f=201802271700250;u=j;z=TIMESTAMP;a=20403940;e=i
He illustrious hotspots such as Apache Hadoop, a Java-based open source software framework used for storage and processing of distributed storage of large data sets. Additional hotspots comprehend HDFS, Hbase, MapReduce, Flume, Oozie, Hive, Pig, HBase, YARN, NoSQL, NewSQL, Apache Spark and machine learning.
This list of Big data certifications covers many of the options out there. But there are many more besides. They are delivered in a variety of ways: at vendor or college campuses, trade shows, online and sometimes trainers can breathe sent to your site.Independent Big Data Certifications
Certified Analytics Professional
If you want vendor independence as you are not tied to a specific analytics platform, Certified Analytics Professional (CAP) may breathe for you. This training helps you resolve analytic problems, build models, implement analytics in the enterprise, and model lifecycle management.
PGP in Big Data Analytics and OptimizationFormerly known as Certificate in Engineering Excellence Big Data Analytics and Optimization (CPEE), the International School of Engineering (INSOFE) has decided to rename it PHP though fails to spell out what the novel acronym means. The course appears largely the same, dealing with Big data using R, Hadoop, Map Reduce, Hive, Pig, Spark and Sqoop, as well as statistics, modeling, machine learning data mining, and other areas of analytics. It is aimed at students in India and has a classroom format.University Big Data Certifications
Certification of Professional Achievement in Data Sciences
Columbia University’s Certification of Professional Achievement in Data Sciences (CPADS) prepares students by developing foundational data science skills. Requirements comprehend an undergraduate degree, and a grounding in calculus, linear algebra and computer programming. It gets involved heavily in probability & statistics, machine learning, and data visualization. It is available in class and online.
Mining Massive Data Sets Graduate Certificate
This certification is offered through the Stanford heart for Professional Development. To elect it, you should already breathe a software engineer, statistician, predictive modeler, data miner or analytics professional. To rate the cert, you accommodate to complete four courses: gregarious and Information Network Analysis, Machine Learning, Mining Massive Data Sets, and Information Retrieval and Web Search. It typically takes a year or two to complete.
Certificate in Analytics: Optimizing Big Data
The Certificate in Analytics: Optimizing Big Data is on tender from the Professional & Continuing Studies unit of the University of Delaware. It deals importing data for analysis, graphical and data analysis, modeling, assessing data variability and more. Students accommodate to complete four modules: Analytics Basics, Big Data Tools, Process Control and Capability, and an individual project. It is suitable for business, marketing and operations managers, as well as data analysts.
Cornell Data Science Certification
Developed by faculty from Cornell University’s SC Johnson College of Business, data science certificates are available in data analytics, data analytics 360 and data-driven marketing.Vendor Big Data Certifications
SAP Hana Certification
SAP Hana is outright about in-memory analytics. Various courses exist to become a trained application specialist using SAP HANA. The SAP Certified Application Specialist - SAP BW powered by HANA SPS12 (Edition 2016)" certification exam, for example, deals with implementing and modeling SAP BW on SAP HANA. Candidates must complete In order to breathe eligible to elect this exam one of several SAP courses.
AWS Certified Big Data – Specialty
This exam tests your technical expertise in designing and implementing AWS services to derive value from data. To become an Amazon Big Data Specialist, you accommodate to hold at least one cert from the Amazon collection: Solutions Architect, DevOps Engineer, Develop, Cloud Practitioner or SysOps Administrator.
Micro Focus Vertica
Since Micro Focus took over Vertica from HPE, it offers training courses such as Vertica Essentials, Descriptive Analytics, Performance Tuning and Database Administration. These are key courses for those working in organizations invested in the Vertica platform.
MCSE: Data Management and Analytics
The Microsoft Certified Systems Engineer (MCSE) line up continues to breathe popular. It includes MCSE certs for industry Applications, Cloud Platform and Infrastructure, Data Management and Analytics, Mobility and Productivity. Being Microsoft programs, they focus on Azure, SQL Server and other Microsoft tools. The Data Management and Analytics cert encompasses Microsoft BI and analytics platforms, deploying enterprise databases, running SQL Server systems in cloud environments, how to operate Big data in the Azure cloud or on premise, and more. Those pursuing this course set themselves up for careers as database analysts/designers and industry intelligence analysts. Options comprehend first pursuing a Microsoft Certified Solutions Associate (MCSA) in either SQL Server 2012/2014, or SQL 2016 Database Administration, Database Development, BI Development, Machine Learning, BI Reporting or Data Engineering with Azure. Once you complete this training, you elect exams to rate an MCSA: Data Management and Analytics.
Introduction to R for Data Science
R has become a major in data science and statistics. Offered by Revolution Analytics (now fraction of Microsoft), this Big data training provides expertise in using the R statistical language for advanced analytics. It includes strategic data analysis, lifecycle analysis, basic analytics theory and modeling. This course is fraction of the Microsoft Professional Program Certificate in Data Science.
Cloudera Certified Professional
Like Microsoft, Cloudera has assembled a large collection of certifications for Big data that plunge under the Cloudera Certified Professional (CCP) label. Cloudera Certified Professional Data Engineer provides the skills to develop reliable, autonomous, scalable data pipelines that result in optimized data sets for a variety of workloads. Similar to Microsoft, this training is aimed at those dedicated to Cloudera environments. You first elect a Cloudera Certified Associate (CCA) course. Options comprehend CCA Spark and Hadoop Developer, CCA Data Analyst and CCA Administrator. Once you accommodate your CCA, you can then elect fraction in the CCP program.
EMC Data Science and Big Data Analytics Certifications
EMC is another one with a portfolio of Big data credentials. To become a certified Data Scientist, you accommodate to complete a Data Science and Big Data Analytics course, as well as an Advanced Methods in Data Science and Big Data Analytics course. This training covers areas such as Big data, analytic methods, MapReduce, Hadoop, analyzing unstructured data, Pig, Hive, HBase, natural language processing, gregarious network analysis, simulation, random forests, multinomial logistic regression, and data visualization.
SAS Academy for Data Science
Through the SAS Academy for Data Science at its campus in Cary, NC, students master Big data management, advanced analytics, machine learning, data visualization and text analytics, along with communication techniques. They can rate three different certifications. SAS Certified Data Scientist is the most challenging. It is comprised of five exams and four complete credentials. The data scientist credential requires SAS Big Data Professional and the SAS Advanced Analytics Professional certifications. But to rate a SAS Certified Big Data Professional cert, you must accommodate grandiose enough programming skills to deal with data management, data quality, and visual data exploration. fancy most vendor-oriented programs, this one is centered around SAS tools – in this case SAS BI and analytics tools
MongoDB Certified Developer Associate
The open source MongoDB has become a very common NoSQL database due to its aptitude to manage loosely structured and unstructured data. Not surprisingly, certifications in this realm are in demand. MongoDB Certified Developer Associate is an exam intended for individuals with learning of the fundamentals of designing and edifice applications using MongoDB. It is aimed mainly at software engineers who already understand MongoDB fundamentals and accommodate developed applications using MongoDB. There are preparation training courses available, too, for developers of Java Node.js and .NET.
Oracle industry Intelligence Foundation Suite 11g Certified Implementation Specialist
It’s hard to pick just one cert from the Oracle arsenal but here goes. Oracle industry Intelligence Foundation Suite 11g Certified Implementation Specialist is for users of the Oracle industry Intelligence Suite. It deals with dashboards, queries, configuration of software, metadata repositories, security settings and BI management. The company recommends several additional courses to prepare for this exam related to Oracle BI including a boot camp.
To become a Hortonworks Certified Professional, you exigency to rate at least one of the following: Hadoop Certified Developer, Hadoop Certified Apache Spark, Hadoop Certified Java Developer, Hadoop Certified Administrator, Hortonworks Certified Associate, or Hortonworks Data flux Certified NiFI Architect. Those completing these courses become skilled in the design, development, and management of Hadoop Big data environments.
MapR Certified Hadoop Developer
MapR is another player in the Hadoop Big data space. This cert requires at least two years of Java development experience. This training deals with designing and developing MapReduce programs in Java. This exam covers writing MapReduce programs, using MapReduce API, and managing, monitoring and testing MapReduce programs and workflows.
IBM Certified Data Engineer – Big Data
This is a tough one that trains a data engineer to apply technologies to resolve Big data problems and build large-scale data processing systems. Those taking the test should already understand the data layer, cluster management, networking, interfaces, data modeling, and many other skills. The training is focused on software platforms such as BigInsights, BigSQL, Hadoop and NoSQL.
Google Analytics Academy
This one is a miniature different from many of the others. It is free and it is centered solely on the intricacies of Google Analytics. But this platform is becoming so pervasive that a grandiose learning of it should profit in career advancement. Google offers courses for beginners, as well as advanced features such as data collection, processing, configuration, complex analysis and how to exhaust Google Analytics in marketing. In addition, there are higher even courses available on Google Analytics 360, Ecommerce analytics and Google Tag Manager fundamentals.
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