What are the Hadoop Technologies that are hot in the market right now?

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Hasnain

Predictive analytics: software and/or hardware solutions that allow firms to discover, evaluate, optimize, and deploy predictive models by analyzing big data sources to improve business performance or mitigate risk. NoSQL databases: key-value, document, and graph databases. Search and knowledge discovery:...
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Predictive analytics: software and/or hardware solutions that allow firms to discover, evaluate, optimize, and deploy predictive models by analyzing big data sources to improve business performance or mitigate risk. NoSQL databases: key-value, document, and graph databases. Search and knowledge discovery: tools and technologies to support self-service extraction of information and new insights from large repositories of unstructured and structured data that resides in multiple sources such as file systems, databases, streams, APIs, and other platforms and applications. Stream analytics: software that can filter, aggregate, enrich, and analyze a high throughput of data from multiple disparate live data sources and in any data format. In-memory data fabric: provides low-latency access and processing of large quantities of data by distributing data across the dynamic random access memory (DRAM), Flash, or SSD of a distributed computer system. Distributed file stores: a computer network where data is stored on more than one node, often in a replicated fashion, for redundancy and performance. Data virtualization: a technology that delivers information from various data sources, including big data sources such as Hadoop and distributed data stores in real-time and near-real time. Data integration: tools for data orchestration across solutions such as Amazon Elastic MapReduce (EMR), Apache Hive, Apache Pig, Apache Spark, MapReduce, Couchbase, Hadoop, and MongoDB. Data preparation: software that eases the burden of sourcing, shaping, cleansing, and sharing diverse and messy data sets to accelerate data’s usefulness for analytics. Data quality: products that conduct data cleansing and enrichment on large, high-velocity data sets, using parallel operations on distributed data stores and databases. read less
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HDFS,PIG,YARN,Map Reduce..for more detail you can contact. http://prwatech.in/data-science-training-in-bangalore-with-data-management-course/
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TECHNICAL ARCHIECT & LEAD ENGINEER – GEN AI & DATABRICKS, CLOUD (AZURE, AWS), DEVOPS, DBT

Hive ,Spark,Scala,Cassandra,Kafka,Flink ,Machine Learning
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Big Data Architect

Hadoop/Hive/Spark/Machine Learning/Deep Learning
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Hadoop/Hive/Spark/Scala/kafka
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Related Questions

Is there a list of the world's largest Hadoop clusters on the web?
No . As pf now Yahoo has tested with 5000 nodes . but there is no such information .
Nishant
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7
I want to pursue career in Data Analyst i.e. Hadoop, currently working in testing professional from last 4 year. Please let me know what�s the opportunity and is my work experience is considerable in Hadoop. Also let me know what need to be prepare for that. Please guide me. Thanks in advance.
Sachin, YEs your work experience will consider as total IT experience. But you need to prepare BigData Hadoop analytic from scratch(start-to end). That means you need to know Hadoop as BigData Hadoop developer...
Sachin
Hi all, This is Mahesh, I had one strong question eagerly to ask every one in IT people. As every one who has done engineering want to choose IT industry( for their career growth, Hard work,smart work their goals, for a good pay, for luxury, for time pass, acting,enjoyment). Ok, after graduated where some people placed in campus placements and some people will go further studies and some are will get refer to their company's and some people will get a employee chance as Third party vendor. Now,coming to job after working hard on one technology for at least 1 year will get bored for every one in IT industry and they don't have a chance to do R & D and don't get a new requirements and don't have a chance to move in to new technology and don't have a chance to put quit for a job because their personal reason. After getting bored on one technology they have moved into another technology their same programming and same requirement but only different syntax's, different programming. Is this happen for every developer, every programmer in IT industry. As I am totally confused which technology I have choose and sometimes I want to quit. According to Booming technologies I choose PHP and than Unix and now the same requirement same work and I am unable to think different in IT industry to move which technology to put challenge. And now I want to move into another technology, I am confused to choose there are infinite technologies in IT industry.Please guide me which technology I have to choose to get complete knowledge. As some one is telling to choose Hadoop technology. Thanks & Regards, Mahesh
If looking for Hadoop (And with the mindset you have :) ) , you go for Data Scientist role or Hadoop Analyst role. These roles need lot of analysis and you wont get bored . Apart from this , I would...
Mahesh
What are the biggest pain points with Hadoop?
The biggest pain points with Hadoop are its complexity in setup and maintenance, slow processing due to disk I/O, high resource consumption, and difficulty in handling real-time data.
Anish
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6
Hi I am looking for Storm Trident support for my job, is this the right place to look for?
Yes
Sowjanya
0 0
9

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