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Product BrochureService Details:Skills / Qualification Required | PhD |
Industry To Cater | Big Data analytics |
Service Duration | 5-7 Days |
Requirement Details | PhD Thesis Big Data Analysis By Using Hadoop MapReduce And Apache |
Project Duration | 7-10 Days |
Type Of Service Provider | PhD Thesis Big Data Analysis By Using Hadoop MapReduce |
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Data: Data Preprocessing, Data Visualization, Data Analysis.
Big Data Tools: Hadoop, Spark, PySpark, Hive, Pig
Machine Learning: Supervised Learning, Unsupervised Learning, Classification, Regression, TimeSeries Forecasting, Clustering
Other Tools: Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, Tensorflow, statmodels, scipy
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YARN (FIFO, Capacity, Fair)
RDD, ETL, OLAP
MapReduce : Complete job Flow execution
Streaming and Processing (Stream Ingestion, Processing)
Apache Storm: (E.g Website click analysis)
Micro-batch and true stream processing
Master Educational Services have Expert In:
Python
Hadoop
Data Analysis and Machine Learning
R programing
Postgrel, Hive, noSQL
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Product BrochureService Details:Website Type | The Latest Research Application Areas In MapReduce For PhD Thesis |
Location/City | India |
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Skills / Qualification Required | PhD |
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Product BrochureService Details:Skills / Qualification Required | Phd Thesis Writing Services On Big Data Analysis,Map Reduce |
Industry To Cater | Big Data Analysis,Map Reduce |
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Product BrochureService Details:Skills / Qualification Required | PhD |
Industry To Cater | Big Data analytics |
Requirement Details | PhD Thesis Using Hadoop MapReduce |
Project Duration | 5-7 Days |
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The best large data processing engine is Apache Spark, which offers a wide range of features and capabilities. Spark and the Hadoop Distributed File System (HDFS) can be combined to create a large data analytics system that is genuinely scalable. Master Educational Services provide solutions in this assignment on how to leverage these these two technologies to create scalable and effective data analytics pipelines.With our deep understanding of these technologies, we have the expertise to help you effectively manage and analyze your big data.
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Language: Python, Scala, Java
Data: Data Preprocessing, Data Visualization, Data Analysis.
Big Data Tools: Hadoop, Spark, PySpark, Hive, Pig
Machine Learning: Supervised Learning, Unsupervised Learning, Classification, Regression, TimeSeries Forecasting, Clustering
Other Tools: Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, Tensorflow, statmodels, scipy
What To Expect from Master Educational Services
Ways to optimize data modeling and storage on HDFS (File Read/Write Operations)
YARN (FIFO, Capacity, Fair)
RDD, ETL, OLAP
MapReduce : Complete job Flow execution
Streaming and Processing (Stream Ingestion, Processing)
Apache Storm: (E.g Website click analysis)
Micro-batch and true stream processing
Master Educational Services have Expert In:
Python
Hadoop
Data Analysis and Machine Learning
R programing
Postgrel, Hive, noSQL
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Product BrochureService Details:Skills / Qualification Required | PhD |
Industry To Cater | Big Data analytics |
Customisation | Customised |
Service Duration | 7-10 Days |
Type Of Industry For Research | Big Data analytics Services |
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Product BrochureService Details:Website Type | Big Data PhD Thesis |
Location/City | India |
Service Type | PhD Thesis On Big Data |
Skills / Qualification Required | PhD |
Type Of Service Provider | Company, Individual |
Language | English |
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Product BrochureService Details:Website Type | The Latest Algorithms Used In MapReduce For PhD Thesis |
Location/City | India |
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Skills / Qualification Required | PhD |
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Language | English |
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Product BrochureService Details:Skills / Qualification Required | PhD |
Industry To Cater | Big Data analytics |
Service Duration | 5-7 Days |
Requirement Details | Big Data Analysis Using Hadoop MapReduce, Apache Spark |
Project Duration | 7-10 Days |
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Big Data Analysis | Using Apache Spark , Hadoop MapReduce |
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Data: Data Preprocessing, Data Visualization, Data Analysis.
Big Data Tools: Hadoop, Spark, PySpark, Hive, Pig
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Other Tools: Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, Tensorflow, statmodels, scipy
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Ways to optimize data modeling and storage on HDFS (File Read/Write Operations)
YARN (FIFO, Capacity, Fair)
RDD, ETL, OLAP
MapReduce : Complete job Flow execution
Streaming and Processing (Stream Ingestion, Processing)
Apache Storm: (E.g Website click analysis)
Micro-batch and true stream processing
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Python
Hadoop
Data Analysis and Machine Learning
R programing
Postgrel, Hive, noSQL
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Product BrochureService Details:Services Include | PhD Thesis Writing Services In India |
Website Type | PhD Thesis Writing Services In India |
Location/City | India |
Service Type | Big Data Analytics Services |
Skills / Qualification Required | Ph. D |
Service Charges | Rs 1 |
Technique | Unique,End-to-End &Tailor-made Solutions anticipate and address critical needs in research |
Type Of Service Provider | Company |
Language | English |
Mode Of Service | Online |
Others | ISO 90012015 Certified |
Additional Information:
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Product BrochureService Details:Website Type | The Latest Application Areas In MapReduce For PhD Thesis |
Location/City | India |
Service Type | MapReduce For PhD Thesis |
Skills / Qualification Required | PhD |
Technique | MapReduce |
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Language | English |
Mode Of Service | Online |
Service Duration | 7-10 Days |
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The best large data processing engine is Apache Spark, which offers a wide range of features and capabilities. Spark and the Hadoop Distributed File System (HDFS) can be combined to create a large data analytics system that is genuinely scalable. Master Educational Services provide solutions in this assignment on how to leverage these these two technologies to create scalable and effective data analytics pipelines.With our deep understanding of these technologies, we have the expertise to help you effectively manage and analyze your big data.
Master Educational Services have expertise in the following:
Language: Python, Scala, Java
Data: Data Preprocessing, Data Visualization, Data Analysis.
Big Data Tools: Hadoop, Spark, PySpark, Hive, Pig
Machine Learning: Supervised Learning, Unsupervised Learning, Classification, Regression, TimeSeries Forecasting, Clustering
Other Tools: Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, Tensorflow, statmodels, scipy
What To Expect from Master Educational Services
Ways to optimize data modeling and storage on HDFS (File Read/Write Operations)
YARN (FIFO, Capacity, Fair)
RDD, ETL, OLAP
MapReduce : Complete job Flow execution
Streaming and Processing (Stream Ingestion, Processing)
Apache Storm: (E.g Website click analysis)
Micro-batch and true stream processing
Master Educational Services have Expert In:
Python
Hadoop
Data Analysis and Machine Learning
R programing
Postgrel, Hive, noSQL
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Product BrochureService Details:Website Type | The Latest Applications Of MapReduce For PhD Thesis |
Location/City | India |
Service Type | The Latest Applications Of MapReduce For PhD Thesis |
Skills / Qualification Required | PhD |
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Language | English |
Mode Of Service | Online |
Service Duration | 7-10 Days |
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Language: Python, Scala, Java
Data: Data Preprocessing, Data Visualization, Data Analysis.
Big Data Tools: Hadoop, Spark, PySpark, Hive, Pig
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Other Tools: Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, Tensorflow, statmodels, scipy
What To Expect from Master Educational Services
Ways to optimize data modeling and storage on HDFS (File Read/Write Operations)
YARN (FIFO, Capacity, Fair)
RDD, ETL, OLAP
MapReduce : Complete job Flow execution
Streaming and Processing (Stream Ingestion, Processing)
Apache Storm: (E.g Website click analysis)
Micro-batch and true stream processing
Master Educational Services have Expert In:
Python
Hadoop
Data Analysis and Machine Learning
R programing
Postgrel, Hive, noSQL
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Product BrochureService Details:Location | India |
Skills / Qualification Required | PhD |
Industry To Cater | Big Data analytics |
Service Duration | 7-10 Days |
Requirement Details | Big Data Analysis Using Hadoop MapReduce and Apache Spark In UK |
Type Of Service Provider | Research Company, Individual Consultant |
Project Duration | 7-10 Days |
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The best large data processing engine is Apache Spark, which offers a wide range of features and capabilities. Spark and the Hadoop Distributed File System (HDFS) can be combined to create a large data analytics system that is genuinely scalable. Master Educational Services provide solutions in this assignment on how to leverage these these two technologies to create scalable and effective data analytics pipelines.With our deep understanding of these technologies, we have the expertise to help you effectively manage and analyze your big data.
Master Educational Services have expertise in the following:
Language: Python, Scala, Java
Data: Data Preprocessing, Data Visualization, Data Analysis.
Big Data Tools: Hadoop, Spark, PySpark, Hive, Pig
Machine Learning: Supervised Learning, Unsupervised Learning, Classification, Regression, TimeSeries Forecasting, Clustering
Other Tools: Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, Tensorflow, statmodels, scipy
What To Expect from Master Educational Services
Ways to optimize data modeling and storage on HDFS (File Read/Write Operations)
YARN (FIFO, Capacity, Fair)
RDD, ETL, OLAP
MapReduce : Complete job Flow execution
Streaming and Processing (Stream Ingestion, Processing)
Apache Storm: (E.g Website click analysis)
Micro-batch and true stream processing
Master Educational Services have Expert In:
Python
Hadoop
Data Analysis and Machine Learning
R programing
Postgrel, Hive, noSQL
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Product BrochureService Details:Website Type | Phd Research Topics In Big Data Analytics(Thesis Writing Service) |
Location/City | India |
Service Type | Big Data Analytics Thesis Writing |
Skills / Qualification Required | PhD |
Technique | Big Data Analytics |
Type Of Service Provider | Company, Individual |
Language | English |
Mode Of Service | Online |
Service Duration | 7-10 Days |
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Product BrochureService Details:Course Mode | Online |
Location | India |
Type Of Industry For Research | Big Data Performance Analysis of Hadoop MapReduce And Apache Thesis |
Service Duration | 7-10 Days |
Type Of Service Provider | Individual Consultant, Research Company |
Technique | Hadoop Commands |
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The best large data processing engine is Apache Spark, which offers a wide range of features and capabilities. Spark and the Hadoop Distributed File System (HDFS) can be combined to create a large data analytics system that is genuinely scalable. Master Educational Services provide solutions in this assignment on how to leverage these these two technologies to create scalable and effective data analytics pipelines.With our deep understanding of these technologies, we have the expertise to help you effectively manage and analyze your big data.
Master Educational Services have expertise in the following:
Language: Python, Scala, Java
Data: Data Preprocessing, Data Visualization, Data Analysis.
Big Data Tools: Hadoop, Spark, PySpark, Hive, Pig
Machine Learning: Supervised Learning, Unsupervised Learning, Classification, Regression, TimeSeries Forecasting, Clustering
Other Tools: Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, Tensorflow, statmodels, scipy
What To Expect from Master Educational Services
Ways to optimize data modeling and storage on HDFS (File Read/Write Operations)
YARN (FIFO, Capacity, Fair)
RDD, ETL, OLAP
MapReduce : Complete job Flow execution
Streaming and Processing (Stream Ingestion, Processing)
Apache Storm: (E.g Website click analysis)
Micro-batch and true stream processing
Master Educational Services have Expert In:
Python
Hadoop
Data Analysis and Machine Learning
R programing
Postgrel, Hive, noSQL
MSc Thesis writing services:
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Product BrochureService Details:Industry To Cater | Big Data analytics |
Customisation | Customised |
Service Duration | 5-7 Days |
Type Of Industry For Research | MSc Dissertation On Big Data Analytics Using MapReduce Algorithms |
Type Of Service Provider | Research Company, Individual Consultant |
Service Includes | Data Cleaning, Data Mining, Data Research |
Language | English |
Project Duration | 7-10 Days |
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Product BrochureService Details:Customisation | Customised |
Service Duration | 5-7 Days |
Type Of Industry For Research | Big Data Analytics In MapReduce |
Type Of Service Provider | Research Company, Individual Consultant |
Service Includes | Data Cleaning, Data Research, Data Mining |
Language | English |
Project Duration | 7-10 Days |
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Product BrochureService Details:Skills / Qualification Required | PhD |
Industry To Cater | Big Data analytics |
Customisation | Customised |
Service Duration | 5-7 Days |
Type Of Service Provider | Research Company, Individual Consultant |
Requirement Details | PhD Thesis Big Data Analytics Applications Of MapReduce |
Service Includes | Data Cleaning, Data Research, Data Mining |
Language | English |
Project Duration | 7-10 Days |
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Product BrochureService Details:Service Location | PAN India |
Location | PAN India |
Skills / Qualification Required | PhD |
Industry To Cater | Big data |
Type Of Industry For Research | MSc Dissertation Big Data Analysis Using Hadoop MapReduce and Apache Spark |
Requirement Details | Research implementation services in Big data |
Type Of Service Provider | Individual Consultant, Research Company |
Technique | Hadoop Commands |
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The best large data processing engine is Apache Spark, which offers a wide range of features and capabilities. Spark and the Hadoop Distributed File System (HDFS) can be combined to create a large data analytics system that is genuinely scalable. Master Educational Services provide solutions in this assignment on how to leverage these these two technologies to create scalable and effective data analytics pipelines.With our deep understanding of these technologies, we have the expertise to help you effectively manage and analyze your big data.
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Data: Data Preprocessing, Data Visualization, Data Analysis.
Big Data Tools: Hadoop, Spark, PySpark, Hive, Pig
Machine Learning: Supervised Learning, Unsupervised Learning, Classification, Regression, TimeSeries Forecasting, Clustering
Other Tools: Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, Tensorflow, statmodels, scipy
What To Expect from Master Educational Services
Ways to optimize data modeling and storage on HDFS (File Read/Write Operations)
YARN (FIFO, Capacity, Fair)
RDD, ETL, OLAP
MapReduce : Complete job Flow execution
Streaming and Processing (Stream Ingestion, Processing)
Apache Storm: (E.g Website click analysis)
Micro-batch and true stream processing
Master Educational Services have Expert In:
Python
Hadoop
Data Analysis and Machine Learning
R programing
Postgrel, Hive, noSQL
Additional Information:
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Product BrochureService Details:Industry To Cater | Big Data analytics Services |
Customisation | Customised |
Type Of Industry For Research | Big Data analytics Services |
Type Of Service Provider | Research Company, Individual Consultant |
Requirement Details | Big Data analytics Services |
Service Includes | Data Cleaning, Data Mining, Data Research |
Language | English |
Big Data Services- | Big Data analytics Services |
Additional Information:
Approx. Rs 1 / DayGet Latest Price
Product BrochureService Details:Service Location | India |
Business / Industry Type | Commercial |
Usage/Application | Hadoop Implementation Services In India |
Skills / Qualification Required | PhD |
Service Type | Hadoop Implementation Services In India |
Location | Delhi |
Mode Of Service | Online |
Type Of Service Provider | Company, Individual Consultant |
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Product BrochureService Details:Industry To Cater | Big Data analytics |
Service Duration | 5-7 Days |
Requirement Details | Big Data Analysis Using Hadoop MapReduce And Apache Spark In Ireland |
Project Duration | 7-10 Days |
Type Of Service Provider | Big Data Analysis Using Hadoop MapReduce |
Master Educational Services experienced in developing and implementing big data solutions using Hadoop and Spark, and we know how to leverage their parallel processing capabilities for efficient data processing. Our mastery in Scala and PySpark guarantees clean, well-documented, and maintainable code. And my knowledge of Hive, Pig, and MapReduce ensure accurate results.
The best large data processing engine is Apache Spark, which offers a wide range of features and capabilities. Spark and the Hadoop Distributed File System (HDFS) can be combined to create a large data analytics system that is genuinely scalable. Master Educational Services provide solutions in this assignment on how to leverage these these two technologies to create scalable and effective data analytics pipelines.With our deep understanding of these technologies, we have the expertise to help you effectively manage and analyze your big data.
Master Educational Services have expertise in the following:
Language: Python, Scala, Java
Data: Data Preprocessing, Data Visualization, Data Analysis.
Big Data Tools: Hadoop, Spark, PySpark, Hive, Pig
Machine Learning: Supervised Learning, Unsupervised Learning, Classification, Regression, TimeSeries Forecasting, Clustering
Other Tools: Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, Tensorflow, statmodels, scipy
What To Expect from Master Educational Services
Ways to optimize data modeling and storage on HDFS (File Read/Write Operations)
YARN (FIFO, Capacity, Fair)
RDD, ETL, OLAP
MapReduce : Complete job Flow execution
Streaming and Processing (Stream Ingestion, Processing)
Apache Storm: (E.g Website click analysis)
Micro-batch and true stream processing
Master Educational Services have Expert In:
Python
Hadoop
Data Analysis and Machine Learning
R programing
Postgrel, Hive, noSQL
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Product BrochureService Details:Service Location | Big Data HADOOP Based IEEE Paper Implementation and Thesis Services |
Delhi | Big Data HADOOP Based IEEE Paper Implementation and Thesis Services |
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Product BrochureService Details:Skills / Qualification Required | PhD |
Industry To Cater | MapReduce |
Customisation | Customised |
Type Of Industry For Research | MSc Dissertation Big Data Analytics Applications Of MapReduce |
Requirement Details | Research implementation services in Big data |
Type Of Service Provider | Individual Consultant, Research Company |
Service Includes | Data Research |
Language | English |
Additional Information:
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Product BrochureService Details:Location | PAN India |
Type Of Industry For Research | MS Research Report |
Mode Of Service | Online |
Type Of Service Provider | Individual Consultant, Research Company |
Language | English |
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