How are you using BigData and with which tools?

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Big data technologies are employed for processing and analyzing massive volumes of data. Here are some common use cases and tools associated with big data: Data Storage: Tools: Hadoop Distributed File System (HDFS), Amazon S3, Google Cloud Storage. Use Case: Storing and managing large datasets...
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Big data technologies are employed for processing and analyzing massive volumes of data. Here are some common use cases and tools associated with big data: Data Storage: Tools: Hadoop Distributed File System (HDFS), Amazon S3, Google Cloud Storage. Use Case: Storing and managing large datasets across distributed clusters. Data Processing: Tools: Apache Hadoop (MapReduce), Apache Spark, Apache Flink. Use Case: Performing parallel processing and analysis of large datasets to extract valuable insights. Data Querying and Analysis: Tools: Apache Hive, Apache Impala, Apache Drill. Use Case: Querying and analyzing data stored in big data systems using SQL-like queries. Data Integration: Tools: Apache Nifi, Apache Kafka. Use Case: Facilitating the flow of data between different systems, enabling real-time data streaming and integration. Machine Learning on Big Data: Tools: Apache Mahout, Apache Spark MLlib, TensorFlow on Apache Spark. Use Case: Applying machine learning algorithms to large datasets for predictive analytics and pattern recognition. Distributed Databases: Tools: Apache Cassandra, Apache HBase. Use Case: Storing and managing large amounts of data with high availability and scalability. Data Visualization: Tools: Tableau, Power BI, Apache Zeppelin. Use Case: Creating interactive and meaningful visualizations to represent insights from big data. Data Security and Governance: Tools: Apache Ranger, Apache Atlas. Use Case: Ensuring data security, access control, and metadata management in big data environments. Cloud-Based Big Data Services: Platforms: Amazon EMR, Google Cloud Dataproc, Azure HDInsight. Use Case: Leveraging cloud infrastructure for scalable and managed big data processing. It's important to note that the choice of tools depends on specific requirements, the nature of the data, and the goals of the analysis. Organizations often use a combination of these tools to build comprehensive big data solutions tailored to their needs. read less
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Hi, What is opinion on Big data analytics for MBA graduates who doesn't know coding. Please suggest. Is it Coding related course.
You should focus on the analytics part of Data Science, and not on big data. Analytics require knowledge of business along with Data Science skills.
Srinivas
Hi, I have been working in IT from the past six years. My primary skills are Unix and SQL. Can I go for a Spark or Hadoop training? Do I need to learn Python for big data? Is there any skill I need to have for spark?
Python is not mandatory for learning spark. But if you have some core Java skills, that will be the add on to learn spark.
Sourav
What should be the fees for Online weekend Big Data Classes. All stack Hadoop, Spark, Pig, Hive , Sqoop, HBase , NIFI, Kafka and others. I Charged 8K and people are still negotiating. Is this too much?
Based on experience we can demand and based on how many hours you are spending for whole course. But anyway 8K is ok. But some of the people are offering 6k. So they will ask. Show your positives compare...
Binay Jha
What are the top three institutes in Kolkata that provide Big Data Training? What are the areas I should look into while a course and institute for Big Data Training?
Don't thing institutional training is very good. Ask for real time practice, POC, and Preparation for the interview.
Subhadip
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Hello, I have completed B.com , MBA fin & M and 5 yr working experience in SAP PLM 1 - Engineering documentation management 2 - Documentation management Please suggest me which IT course suitable to my career growth and scope in market ? Thanks.
If you think you are strong in finance and costing, I would suggest you a SAP FICO course which is definitely always in demand. if you have an experience as a end user on SAP PLM / Documentation etc, even a course on SAP PLM DMS should be good.
Priya
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