Real time Big Data Training Mumbai

Real time Big Data Training Mumbai - Learn from Experts!

Real time Big Data Training in Mumbaiwith Big Data Analytics

Real time Big Data Training 

The ability to extract information from operational data in real time is critical for a modern, agile enterprise. The faster you can harness insights from data, the greater your advantage in driving revenue, reducing costs, and increasing efficiency. Modern architecture for real time big data combines Hadoop and NoSQL. Hadoop is engineered for big data analytics, but it’s not real time. NoSQL is engineered for real-time big data, but it’s operational rather than analytical. NoSQL together with Hadoop is the key to real time big data. 

RealTimeBigData training Mumbai

 

Apache Spark is a cluster computing platform designed to be fast and general-purpose.

Real time Big Data Training Mumbai On the speed side, Spark extends the popular MapReduce model to efficiently support more types of computations, including interactive queries and stream processing. Speed is important in processing large datasets, as it means the difference between exploring data interactively and waiting minutes or hours. One of the main features Spark offers for speed is the ability to run computations in memory, but the system is also more efficient than MapReduce for complex applications running on disk.

On the generality side, Spark is designed to cover a wide range of workloads that previously required separate distributed systems, including batch applications, iterative algorithms, interactive queries, and streaming. By supporting these workloads in the same engine, Spark makes it easy and inexpensive to combine different processing types, which is often necessary in production data analysis pipelines. In addition, it reduces the management burden of maintaining separate tools.

Spark is designed to be highly accessible, offering simple APIs in Python, Java, Scala, and SQL, and rich built-in libraries. It also integrates closely with other Big Data tools. In particular, Spark can run in Hadoop clusters and access any Hadoop data source, including Cassandra.

Spark Streaming:

Spark Streaming is an extension of the core Spark API that enables scalable, high-throughput, fault-tolerant stream processing of live data streams. Data can be ingested from many sources like Kafka, Flume, Twitter, ZeroMQ, Kinesis, or TCP sockets, and can be processed using complex algorithms expressed with high-level functions like map, reduce, join and window. Finally, processed data can be pushed out to filesystems, databases, and live dashboards. In fact, you can apply Spark’s machine learning and graph processing algorithms on data streams.

 

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Call – +91 97899 68765 / +91 9962774619 / 044 – 42645495

Weekdays / Fast Track / Weekends / remote Online / Corporate Training modes available!

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Realtime Big Data Training Also available across India in Bangalore, Pune, Hyderabad, Mumbai, Kolkata, Ahmedabad, Delhi, Gurgon, Noida, Kochin, Tirvandram, Goa, Vizag, Mysore,Coimbatore, Madurai, Trichy, Guwahati

On-Demand Fast track Scala Training globally available also at Singapore, Dubai, Malaysia, London, San Jose, Beijing, Shenzhen, Shanghai, Ho Chi Minh City, Boston, Wuhan, San Francisco, Chongqing.

 

 

 

 

 

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