AZURE - AWS IOT Stacks & Big Data with Rajan

AWS Kinesis: AWS Kinesis is managed alternative of Apache Kafka. It can be used for big data real-time stream processing. It can be used for applications logs, metrics, forecast data, IoT. It can be used for streaming processing framework like Spark, NiFi, etc.   Kinesis Capabilities: Kinesis Streams : Streaming data ingest at scale with low latency. It is a data stream. Kinesis Analytics : To perform analytics on real-time streaming data using SQL. You can filter or aggregate data in real time. Kinesis Firehose : To load streams of data into S3, Redshift, Splunk or Elastic Search. It is a delivery stream. Kinesis Data Streams : Streams are divided into shards. To scale up application we can update shard configuration by increasing number of shards. By default shard's data can be retained for 1 Day but you can extend it for 7 days. Multiple application can use same stream. Real-time processing of data with a scale of throughput. Record size should not

Hello, Spark developers, As I have passed this exam on 3rd Jan 2019. I would like to share my experience in this exam and some exam related advice. How to register and start the Exam First of all, if you want to register for this exam then you should make an account in both Cloudera site and examslocal.com. You should have to pay $295 in Cloudera site and then you can schedule your exam from examslocal.com. You can reschedule an exam before 24 hours. Once you will schedule an exam in examslocal site, you will see how much time left for scheduled exam.  Before taking exam please make sure you have installed chrome with necessary chrome extension. You can test your system compatibility by pressing Compatibility test from an examslocal site. You can start your exam as early as 15 min before but not later than 15 min from scheduled time. You will see the Start Exam button 15 min before your scheduled exam. Information related to Exam's Question and Result As this exam