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Answered on 20 Feb Learn Big Data

Sana Begum

My teaching experience 12 years

Understand the Business Goals of the Big Data Project. ... Collect Data for the Big Data Project. ... Data Preparation and Cleaning. ... Data Transformation and Manipulation. ... Visualize Your Data. ... Build Predictive Models Using Machine Learning Algorithms. ... Repeat The Process.
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Answered on 20 Feb Learn Big Data

Sana Begum

My teaching experience 12 years

Big data analytics is the process of collecting, examining, and analysing large amounts of data to discover market trends, insights, and patterns that can help companies make better business decisions.
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Answered on 20 Feb Learn Big Data

Sana Begum

My teaching experience 12 years

Apache Spark and Scala are highly significant in the Big Data industry and are widely used for large-scale data processing and analytics. Here's why they are considered important: Performance: Apache Spark is known for its in-memory data processing capabilities, which significantly improve
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Answered on 20 Feb Learn Big Data

Sana Begum

My teaching experience 12 years

Download R Big data Introduction to MapReduce Apache Spark Streaming Coursera Introduction to Hadoop
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Answered on 09 Jan Learn Big Data

Snelbizz

Mathematics and Statics Good mathematics is necessary for predictive analysis and machine learning rule sets. We should learn Hadoop Big Data Platform, HBase, Hive, Storm, Spark, Pig, R, Elasticsearch, Machine learning frameworks and many more technologies to master fast growing Big Data field. read more

Mathematics and Statics

Good mathematics is necessary for predictive analysis and machine learning rule sets. We should learn Hadoop Big Data Platform, HBase, Hive, Storm, Spark, Pig, R, Elasticsearch, Machine learning frameworks and many more technologies to master fast growing Big Data field.

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Answered on 09 Jan Learn Big Data

Snelbizz

Actionable analytics is the process behind moving customer behavior analytics from purely informational to actionable, through phases that strive for proactive foresight, and not just predicting what will happen, but eventually determining what will happen before it even does.
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Answered on 09 Jan Learn Big Data

Snelbizz

Databricks Big data analytics DataRobot, Inc. Healthcare Price optimization Segment Alation Business intelligence CB Insights Dataiku Efficient marketing Fraud prevention Looker Retail read more

Databricks

 

Big data analytics

 

DataRobot, Inc.

 

Healthcare

 

Price optimization

 

Segment

 

Alation

 

Business intelligence

 

CB Insights

 

Dataiku

 

Efficient marketing

 

Fraud prevention

 

Looker

 

Retail

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Answered on 20 Feb Learn Big Data

Sana Begum

My teaching experience 12 years

Splunk is a big data solution that can help you turn raw data into insights. Splunk architecture comes with a set of tools that help you integrate with data sources and then perform collection, queries, indexing, analyses, and visualization.
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Answered on 20 Feb Learn Big Data

Sana Begum

My teaching experience 12 years

Before the arrival of Apache Spark, Hadoop MapReduce was the most popular option for handling big datasets using parallel, distributed algorithms. MapReduce has a multi-step, sequential process for job execution
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Learn Big Data from the Best Tutors

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Answered on 20 Feb Learn Big Data

Sana Begum

My teaching experience 12 years

What exactly is big data? The definition of big data is data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs. Put simply, big data is larger, more complex data sets, especially from new data sources.
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