This is a 1 min readAfter explaining to many people who came to me asking “how should I go about evaluating a data engineer or big data developer profile”, I created a competency sheet which the candidates can fill-in. Hopefully, this should give some idea. What I observed was interesting, people who haven’t actually done any work didn’t get back with… Continue reading
Post Category → Big Data
Bigdata 2.0 talk at Microsoft Thailand
This is a 1 min readI gave a talk at M$FT Thailand about Streaming data platforms in Big data architectures. As promised here is the presentation – here you go
Continuous streaming integration with streaming data platforms
This is a 4 min readSomeone asked me in Quora “Should I use Gobblin or Spark Streaming to ingest data from Kafka to HDFS?” Here is what I wrote: This introduces a new architecture pattern called continuous streaming integration (CSI) with streaming data platforms (SDP) for solving the app and data integration challenges. Short answer: If your data sink is… Continue reading
Modernising data architecture for enterprises
This is a 1 min readPrelude Before getting into the topic of focus i.e. how to modernise data architecture for large enterprises (which typically comes with lot of legacy baggage and organisational memory), I would like to set the context by clearing the air around one thing that is related to this subject. First step in Big data solutions consulting like any… Continue reading
Experiences with Kafka and exactly-once processing in IoT apps
This is a 5 min readSome context on message brokers and delivery guarantees (If you have fair amount of experiences with message processing and delivery guarantees please skip to the next part of this post.) Message delivery guarantee is one of the canonical requirements for message brokers and they are very relevant for all types of brokers: the ones based on queue semantics and the ones… Continue reading
TAPO for Airports – A Streaming usecase
This is a 1 min readAirports, especially the busy ones face an interesting challenge when it comes to serving the commuters, they need a smoother way to handle passengers in queues without long frustrating waits and thereby elevate the overall experience. No one likes to wait/stand in long queues. But airports, unfortunately, have lots of queues one for check-in, baggage… Continue reading
Apache Flink CEP and ATM Fraud usecase- Part 2
This is a 2 min readOn the 1st part of this multi-part series on Apache Flink CEP library, I briefly covered the case for a dedicated CEP framework among the toolsets of open-source stream processing frameworks. Quick recap on the use case For a customer, an ATM Withdrawal Txn >= 10,000 made more than ‘3 times’ in a location > 50 mile radius… Continue reading
Apache Flink CEP Library – Part 1
This is a 4 min readI am presuming you know the what’s and why’s of Apache Flink, touted as a one of the best data processing framework that can do both batch and streaming processing. Recently Flink announced a cool new CEP Library. Just hang on with me, before going any further let me just say the reason for this post, some time back a lot… Continue reading
Wide row data modelling with Apache Cassandra
This is a 4 min readI have always been intrigued by the performance claims of Apache cassandra. So, I wanted to put the whole “wide rows” and the performance edge claims that wide-row data model said to offer to the test. Rumour has it, Facebook hired ex-Amazon engineers who wrote Dynamo to build cassandra. Anyways, a sound starting point is to… Continue reading
Why Zookeeper is always configured with odd number of nodes ?
This is a 2 min readSomeone in Quora.com asked me “Why Zookeeper is always configured with odd number of nodes ?”. Well, thats a great question but sad part is, not even many practitioners, even those who use Zookeeper in production can explain it simply. I will try to keep this really simple, I promise. ZooKeeper (ZK) is a highly-available, highly-reliable and… Continue reading