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Apache Spark with Scala Training in India

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Rated #1 Recoginized as the No.1 Institute for Apache Spark with Scala training online in India

Our top-rated Apache Spark with Scala training online in India equips students and professionals with essential big data processing skills, preparing them for high-paying careers in data engineering and analytics.

Applying in the Best Apache Spark with Scala Course online in India ensures top-tier education and valuable career opportunities. Our Apache Spark with Scala Certification Program is designed to provide industry-standard coaching and equip you with the expertise to excel in the dynamic big data landscape.

  • Top-Rated Apache Spark with Scala Course With Job
  • Access Unlimited Interview Opportunities with Leading MNCs
  • Engage in Interactive Sessions to Fast-Track Your Big Data Career
  • Over 350+ Hiring Clients and 11,462+ Successfully Trained Graduates
  • Learn from Certified Apache Spark Experts with 10+ Years of Industry Experience
  • Comprehensive at Affordable Rates with 100% Apache Spark with Scala Training With Placement

Fee INR 18000

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  • Case Studies and Projects 8+

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  • Certification Yes

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Learn From Experts, Practice On Projects & Get Placed in IT Company

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  • You will not only gain knowledge of Apache Spark with Scala Certification and advanced concepts, but also gain exposure to Industry best practices
  • Experienced Trainers and Lab Facility
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  • Practical oriented / Job oriented Training. Practice on Real Time project scenarios.
  • We have designed an in-depth course so meet job requirements and criteria
  • Resume & Interviews Preparation Support
  • Concepts:Apache Spark Core, Motivation for Apache Spark, Spark Internals, RDD, SparkSQL, Spark Streaming, MLlib, and GraphX that form key constituents of the Apache Spark course.
  • START YOUR CAREER WITH Apache Spark with Scala CERTIFICATION COURSE THAT GETS YOU A JOB OF UPTO 6 TO 14 LACS IN JUST 70 DAYS!
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28-Apr-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

30-Apr-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

03-May-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

04-May-2025
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(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

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    Course Objectives

    Apache Spark with Scala Big data, Spark with Scala/Python falls in the data engineering category. It is increasing nowadays as most of the business of top companies are getting generated from Data Analytics projects. Accenture said its 60% business is from Data Analytics, TCS also got 2.5 billion dollar deal in Data Analytics only.
      Well, Apache Spark is a general-purpose & lightning fast cluster computing system (a Framework) whereas Scala is a high-level programming language in which Spark is written.
    Apache Spark and Scala is the one of the most active projects of Apache and its future scope will be long lasting. Using Apache Spark, we achieve a high data processing speed of about 100x faster in memory and 10x faster on the disk. This is made possible by reducing the number of read-write to disk.
    We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs.
    Apache Spark is written in Scala and because of its scalability on JVM - Scala programming is most prominently used programming language, by big data developers for working on Spark projects. Also, the performance achieved using Scala is better than many other traditional data analysis tools like R or Python.
      Means to learn Spark framework, you must have minimum knowledge in Scala. It's a new programming language, but it's very powerful. If you know any programming language like C, C++, core java, php, python, or any other language , you can easily learn Scala language.
      No learning Scala to learn and work with Spark is not necessary. Scala being a functional language can be very easy to understand especially if you come from C or other languages. it runs on JVM. Since Spark is written in Scala you will/might have a few performance benefits if you write your programs in Scala.

    Is Apache Spark and Scala Worth Learning in Nowadays?

      Apache Spark and Scala is considered a 'general-purpose' language that makes use of the functional and object-oriented paradigms. Even though Scala is a great language to use in these categories, if you don't understand why you need Scala (regardless if it's 2020 or 2030), you most likely shouldn't be learning it yet.

    How do I run Spark Program in Scala?

    Go to Spark Home Directory. Login to Linux and open terminal. To run Spark Scala application we will be using Ubuntu Linux. Copy the jar file to create one text file, which we will use as input for Spark Scala wordcount job.

    Is Apache Spark with Scala difficult to learn?

    Learning Spark is not difficult if you have a basic understanding of Python or any programming language, as Spark provides APIs in Java, Python, and Scala. You can take up this Spark Training to learn Spark from industry experts.

    Top reasons to consider a career in Apache Spark with Scala?

    • Hadoop Compatible.
    • High on Versatility, High on Demand.
    • Salaries Going Through the Roof.
    • Diminishing Appeal of Hadoop.
    • Quick Coding, Low Latency.

    How do beginners learn the Apache Spark Scala Course?

      Apache Spark Scala may be a powerful business intelligence tool and beginners should initially understand the ideas of knowledge visualization before setting out to use it. Apache Spark Scala course is one of the most effective resources beginners will choose to learn from scratch.
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    Overview of Apache Spark with Scala Training in India

    Advance your mastery of the Big Data Hadoop Ecosystem with ACTE Apache Scala and Spark certification online education. This Spark direction will assist you'll achieve crucial, in-call for Apache Spark abilities and expand an aggressive gain for an interesting profession as a Spark Developer. This Spark certification education allows you to grasp the important abilities of the Apache Spark open-supply framework and Scala programming language, together with Spark Streaming, Spark SQL, system studying programming, GraphX programming, and Shell Scripting Spark. You can even recognize the function of Spark in overcoming the constraints of MapReduce.


    Additional Info

    Spark and Scala Course Introduction:

    Eligibility

    This Spark certification education direction is good for experts aspiring for a profession withinside the subject of actual-time huge information analytics, analytics experts, studies experts, IT builders and testers, information scientists, BI and reporting experts, and students who need to benefit from intensive expertise of Apache Spark.

    Pre-requisites

    Those wishing to take the Apache Spark certification education direction must have essential information of any programming language and simple expertise of any database, SQL, and question language for databases. Working information of Linux- or Unix-primarily based structures is likewise beneficial.

    What Are Apache Spark and Scala All About ?

    Big Data and Analytics are reworking the manner groups take knowledgeable marketplace-orientated decisions, craft techniques for focusing on consumer segments that might be optimally promising, and stay protected from marketplace quirks and monetary volatilities. These skills are impacted with the aid of using mining data which is locked in huge information volumes generated online or from different related sources.

    Big Data may be reliably processed with the Apache Spark interface. Apart from facilitating seamless programming for information clusters, Spark additionally gives the right tolerance for faults and information parallelism. This means that huge datasets may be processed promptly with the aid of using this open supply platform. Apache Spark has an area over Hadoop in phrases of higher and complicated abilities on information managing, storing, assessment, and retrieving fronts. Spark framework comes included with modules for ML (Machine Learning), actual-time information streaming, textual and batch information, graphics, etc., which makes it best for one-of-a-kind enterprise verticals.

    Scala or Scalable Language is a general-cause object-orientated language with which Spark is written for helping cluster computing. Scala gives aid with immutability, kind interference, lazy assessment, sample matching, and different features. Features absent in Java which include operator overloading, named parameters, no checked exceptions, etc. also are provided with the aid of using Scala.

    Career Path Of Apache Spark Online Training :

      1. Objective – Spark Careers:

      As all of us know, huge information analytics have a sparkling new face, Apache Spark. Spark’s importance and percentage are constantly growing throughout companies. Hence, there are enough professional possibilities in spark. In this blog “Apache Spark Careers Opportunity: A Quick Guide” we can speak the equal. We can even speak some names of pinnacle organizations that are the usage of a spark. Moreover, we can additionally speak the process titles for that technology.

      2. Apache Spark Careers Opportunity:

      In the complete world, Developers are leveraging the Spark framework in one-of-a-kind languages. Such as Scala, Java, and Python. Apache Spark gives the flexibility to run programs of their favorite languages. Also lets in constructing new apps quicker. Around the globe, a few huge companies have taken spark very seriously. Some famous organizations like Amazon, Yahoo, Alibaba, eBay, Hitachi, Shopify, and plenty of more. They have invested in skills around Spark. There is a few ratios, wherein jobs are available, which include withinside the batch processing of huge information sets, 78% of them are engaged. Also, for occasion circulate processing 60% required as aid. Similarly, for fast, actual-time information querying, around 56% are there. Moreover, at improving programming productiveness 55% are aiming. Furthermore, there are a few big possibilities throughout enterprise segments, that includes.

    • Telecommunication/Networking
    • Banking and Finance
    • Retail
    • Software
    • Media and Entertainment
    • Consulting
    • Healthcare
    • Manufacturing
    • IT
    • Professional medical and technical services

    3. Top Companies Using Spark:

    Apache Spark is taken into consideration as a 3G for the Big Data world. It gives an in-reminiscence information processing element that attends to actual-time and batch actions. Moreover, it affords a taste for the cloud enterprise without or with Hadoop.

    4. Prerequisites to study Spark:

    There's simplest one wants to benefit knowledge in operating with Spark system. That one wants is to recognize simple programming language concepts. Moreover, you want to have simple insights into Java programming.

    5. Benefit of Learning Spark:

    Recently, in every sector, there's a robust choice to have the technical workforce. There's a big call for professional experts. Since there are surplus huge information jobs withinside the marketplace.

    Top 9 Benefits Of Learning Apache Spark and Scala Certification Course:

      Data technology gives unprecedented scope in case you need to scale new heights to your profession. Also, as a part of an enterprise, in case you are strategizing on cornering your area of interest marketplace, you want to get targeted insights into how the marketplace is changing. With Apache Spark and Scala education, you may end up gifted in studying styles and making conclusive fact-pushed assumptions. There are many incentives for studying this framework-language aggregate as an aspirant or with the aid of using exposing your enterprise’s selected personnel to this.

    • Ideal for Implementing IoT:
    • If your organization is focusing on the Internet of Things, Spark can force it via its functionality of managing many analytics duties concurrently. This is executed via well-advanced libraries for ML, superior algorithms for studying graphs, and in-reminiscence processing of information at low latency.

    • Helps in Optimizing Business Decision Making:
    • Low latency information transmitted with the aid of using IoT sensors may be analyzed as non-stop streams with the aid of using Spark. Dashboards that seize and show information in actual time may be created for exploring development avenues.

    • Complex Workflows Can Be Created with Ease:
    • Spark has committed high-stage libraries for studying graphs, growing queries in SQL, ML, and information streaming. As such, you may create complicated huge information-analytical workflows effectively via minimum coding.

    • Prototyping Solutions Becomes Easier:
    • As a Data Scientist, you may make use of Scala’s ease of programming and Spark’s framework for growing prototype answers that provide enlightening insights into the analytical model.

    • Helps in De-Centralized Processing of Data:
    • In the approaching decade, Fog computing might benefit steam and could supplement IoT to facilitate de-centralized processing of information. By studying Spark, you may stay organized for upcoming technology in which huge volumes of dispensed information will want to be analyzed. You also can devise stylish IoT pushed programs to streamline enterprise functions.

    • Compatibility with Hadoop:
    • Spark can feature atop HDFS (Hadoop Distributed File System) and may supplement Hadoop. Your enterprise wants now no longer spend moreover on putting in place Spark infrastructure if Hadoop cluster is a gift. In a cost-powerful way, Spark may be deployed on Hadoop’s information and cluster.

    • Versatile Framework:
    • Spark is well-matched with a couple of programming languages which include R, Java, Python, etc. This means that Spark may be used for constructing Agile programs without problems with minimum coding. The Spark and Scala online network may be very colorful with severa programmers contributing to it. You can get all of the required sources from the network for using your plans.

    • Faster Than Hadoop:
    • If your enterprise is seeking to beautify information processing speeds for making quicker decisions, Spark can virtually provide a main area. Data is processed in Spark in a cyclic way and the execution engine stocks information in-reminiscence. Support for Directed Acyclic Graph (DAG) mechanism lets in Spark engine to technique simultaneous jobs with the equal datasets. Data is processed with the aid of using the Spark engine 100x faster as compared to Hadoop MapReduce.

    • Proficiency Enhancer:
    • If you study Spark and Scala, you may end up gifted in leveraging the energy of various information systems as Spark can having access to Tachyon, Hive, HBase, Hadoop, Cassandra, and others. Spark may be deployed over YARN or any other dispensed framework in addition to on a standalone server.


    How Scala is utilized in Spark?

      Scala, assist you to upload new operations to current instructions with the assist of implicit instructions. One of the benefits of Scala is that it makes it very smooth to engage with Java code. You also can write a Java code internal Scala class. The Scala helps superior element architectures via instructions and traits.

    • Scala is a useful language
    • Scala is a programming language that has applied principal useful programming concepts.
    • In Functional programming, each computation is dealt with as a mathematical feature that avoids states and mutable information.

    The useful programming famous following characteristics:
    • Power and flexibility
    • Simplicity
    • Suitable for parallel processing.

    Salary Of Apache Spark with Scala Certification Online Training:

    There are a few common revenue systems for “huge information engineers”. They about variety from $108,803 in keeping with 12 months for Developer to $143,771 in keeping with 12 months for a senior engineer. Also, the common revenue for huge information experts is set at $ 114,000 in keeping with the annum. This is set 98% better than common salaries for all process postings nationwide. The above-noted revenue data comes from 32,336 information points. It is at once amassed from personnel and gift process classified ads on indeed. In addition, from Glassdoor, the median revenue for huge information knowledge is $ 104,850 in keeping with the annum. Also, the revenue of information scientists is predicted to be about $115,000. Moreover, in step with Forbes, the median revenue for huge information experts is $ 124,000 in keeping with 12 months.

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    Key Features

    ACTE offers Apache Spark with Scala Training in more than 27+ branches with expert trainers. Here are the key features,

    • 40 Hours Course Duration
    • 100% Job Oriented Training
    • Industry Expert Faculties
    • Free Demo Class Available
    • Completed 500+ Batches
    • Certification Guidance

    Authorized Partners

    ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS .

     

    Curriculum

    Syllabus of Apache Spark with Scala Course in India

    Module 1: Introduction

    • 1. Overview of Hadoop 
    • 2. Architecture of  HDFS  & YARN
    • 3. Overview of Spark version 2.2.0
    • 4. Spark Architecture
    • 5. Spark  Components 
    • 6. Comparison of  Spark &  Hadoop
    • 7. Installation of Spark v 2.2.0 on Linux 64 bit

    Module 2: Spark Core

    • 1. Exploring the Spark shell 
    • 2. Creating Spark Context
    • 3. Operations on Resilient Distributed Dataset – RDD
    • 4. Transformations & Actions 
    • 5. Loading Data and Saving Data

    Module 3: Spark SQL & Hive SQL

    • 1. Introduction to SQL  Operations
    • 2. SQL Context
    • 3. Data Frame
    • 4. Working with Hive
    • 5. Loading Partitioned Tables
    • 6. Processing  CSV, Json ,Parquet files

    Module 4: Scala Programming

    • 1. Introduction to Scala
    • 2. Feature of Scala
    • 3. Scala vs Java Comparison
    • 4. Data types
    • 5. Data Structure
    • 6. Arrays
    • 7. Literals
    • 8. Logical Operators
    • 9. Mutable & Immutable variables
    • 10. Type interface

    Module 5: Scala Functions

    • 1. Oops  vs Functions
    • 2. Anonymous 
    • 3. Recursive 
    • 4. Call-by-name
    • 5. Currying
    • 6. Conditional statement

    Module 6: Scala Collections

    • 1. List
    • 2. Map
    • 3. Sets
    • 4. Options
    • 5. Tuples
    • 6. Mutable collection
    • 7. Immutable collection
    • 8. Iterating
    • 9. Filtering and counting 
    • 10. Group By
    • 11. Flat Map
    • 12. Word count
    • 13. File Access

    Module 7: Scala Object Oriented Programming

    • 1. Classes ,Objects & Properties
    • 2. Inheritance

    Module 8: Spark Submit

    • 1. Maven  build tool implementation
    • 2. Build Libraries
    • 3. Create  Jar files 
    • 4. Spark-Submit

    Module 9: Spark Streaming

    • 1. Overview  of Spark Streaming
    • 2. Architecture of Spark Streaming 
    • 3. File streaming
    • 4. Twitter Streaming

    Module 10: Kafka Streaming

    • 1. Overview  of Kafka Streaming
    • 2. Architecture of Kafka Streaming 
    • 3. Kafka Installation
    • 4. Topic
    • 5. Producer
    • 6. Consumer
    • 7. File streaming
    • 8. Twitter Streaming

    Module 11: Spark Mlib

    • 1. Overview  of Machine Learning Algorithm
    • 2. Linear Regression
    • 3. Logistic Regression

    Module 12: Spark GraphX

    • 1. GraphX overview
    • 2. Vertices
    • 3. Edges
    • 4. Triplets
    • 5. Page Rank
    • 6. Pregel

    Module 13: Performance Tuning

    • 1. On-Off-heap memory tuning
    • 2. Kryo Serialization
    • 3. Broadcast Variable
    • 4. Accumulator Variable
    • 5. DAG Scheduler
    • 6. Data Locality
    • 7. Check Pointing
    • 8. Speculative Execution
    • 9. Garbage Collection

    Module 14: Project Planning, Monitoring Trouble Shooting

    • 1. Master – Driver Node capacity
    • 2. Slave –   Worker Node capacity
    • 3. Executor capacity
    • 4. Executor core capacity
    • 5. Project scenario and execution
    • 6. Out-of-memory error handling
    • 7. Master logs, Worker logs, Driver  logs
    • 8. Monitoring Web UI 
    • 9. Heap memory dump
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    Our Top Hiring Partner for Placements

    ACTE offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

    • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
    • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
    • After completion of 70% Apache Spark with Scala training course content, we will arrange the interview calls to students & prepare them to F2F interaction
    • Apache Spark with Scala Trainers assist students in developing their resume matching the current industry needs
    • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
    • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

    Get Certified By Apache Spark with Scala & Industry Recognized ACTE Certificate

    Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

    Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

    Complete Your Course

    a downloadable Certificate in PDF format, immediately available to you when you complete your Course

    Get Certified

    a physical version of your officially branded and security-marked Certificate.

    Get Certified

    About Experienced Apache Spark with Scala Trainer

    • Our Apache Spark with Scala Training in . Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
    • As all Trainers are Apache Spark with Scala domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
    • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
    • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
    • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Apache Spark with Scala training to the students.
    • We have received various prestigious awards for Apache Spark with Scala Training in from recognized IT organizations.

    Apache Spark with Scala Course FAQs

    Looking for better Discount Price?

    Call now: +91-7669 100 251 and know the exciting offers available for you!
    • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
    • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
    • More than 3500+ students placed in last year in India & Globally
    • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
    • 85% percent placement record
    • Our Placement Cell support you till you get placed in better MNC
    • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
      ACTE Gives Certificate For Completing A Course
    • Certification is Accredited by all major Global Companies
    • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS
    • The entire Apache Spark with Scala training has been built around Real Time Implementation
    • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
    • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
    All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
    No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
    We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

    Why Should I Learn Apache Spark with Scala Course At ACTE?

    • Apache Spark with Scala Course in ACTE is designed & conducted by Apache Spark with Scala experts with 10+ years of experience in the Apache Spark with Scala domain
    • Only institution in India with the right blend of theory & practical sessions
    • In-depth Course coverage for 60+ Hours
    • More than 50,000+ students trust ACTE
    • Affordable fees keeping students and IT working professionals in mind
    • Course timings designed to suit working professionals and students
    • Interview tips and training
    • Resume building support
    • Real-time projects and case studies
    Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
    You will receive ACTE globally recognized course completion certification Along with project experience, job support, and lifetime resources.
    We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
    We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Apache Spark with Scala batch to 5 or 6 members
    Our courseware is designed to give a hands-on approach to the students in Apache Spark with Scala. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
    You can contact our support number at +91 76691 00251/ Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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