– Use the script created by Vikas to send data to AWS IOT and forward the temperature and pressure data to Kinesis, create a kinesis triggered lambda function to store it in SensorData Table
Related
I have a data source provided to me using SignalR, which I’ve never used.
I can’t find any documentation on how to ingest it with Spark Streaming, is there a defined process for that?
If not, are there intermediate steps I should take first? Process the data myself from a signal-r client, and create a Kafka producer that’s then reading from that via Structured Streaming?
Alternatively, could try to use airflow but also not sure about that since it’s streaming data.
Conceptually, HBase/Bigtable are key-value stores. Many times when reading the documentation of both, it is mentioned that they can be used for analytics. But since they are key-value and doesn't support SQL or SQL like language how they are used for analytics?
Cloud Bigtable also excels as a storage engine for batch MapReduce
operations, stream processing/analytics, and machine-learning
applications. (source)
You can use analytics tools such as Hadoop MapReduce, Apache Spark, and Apache Beam / Google Cloud Dataflow on HBase and Cloud Bigtable, e.g., see:
Dataflow connector for Cloud Bigtable
Connect Apache Spark to your HBase database
HBaseIO connector for Apache Beam
BigtableIO connector for Apache Beam
Additionally, TensorFlow is integrated with Cloud Bigtable for ML training, eg., see:
Using Cloud Bigtable as a streaming data source for TensorFlow
TensorFlow APIs for accessing data in Cloud Bigtable
Finally, you can run SQL analytics via integrations, e.g., BigQuery can run SQL queries on data stored in Cloud Bigtable; Apache Hive can run SQL queries on data stored in Apache HBase; e.g., see:
BigQuery + Cloud Bigtable federated queries
Hive + HBase integration
I need to read multiple sensor data from one single bradboard which is connected to a raspberry pi. We are getting one sensor's data properly, but when we are connecting multiple sensors, we are not sure how to read data from multiple sensors. I am using C SDK of KAA server. i have used the demo_client file to write in log record and dh11.c file to find temreture value. thanks in Advance.
You should modify the code to do separate readings of the sensors samples and upload them to Kaa server as a set of records (this would be the simplest to start with).
Then, you will most probably need to modify the log schema to be able differentiating the telemetry date between sensors.
Is there a way to use flume to transmit my Oracle 11g Database data to HDFS?
I know flume is made for logs and Sqoop should be use to transmit data from Database. But is there a way to use flume instead of Sqoop? What should I do if I want to use this kind of architecture?
Please have a look in to
1) Oracle Golden gate
2) Streaming Oracle Database Logs to HDFS with Flume
The other way to do is For the present data in oracle you can run sqoop and for the subsequent changes you can use Linked in databus for change data capture(CDC) which can post messages to Kafka.
Messages from kafka can be easily consumed by Flume.
How do I stop the Coherence client node storing data. Ie to connect to the cluster, GET data and then disconnect, without the cluster trying to pass data to the node?
Start the client with the following jvm flag:
-Dtangosol.coherence.distributed.localstorage=false
I hope you are connecting to cluster as an extend client, but not like a regular member.