Amazon EMR is a managed cluster platform that makes it easier to run big data frameworks like Apache Hadoop and Apache Spark on AWS to process and analyze huge amounts of data.
Apache Pinot is a real-time, distributed OLAP datastore that was built for low-latency, high-throughput analytics, making it perfect for user-facing analytical workloads. Pinot joins hands with Kafka and Presto to provide user-facing analytics.
Partitioning and bucketing are used to improve the reading of data by reducing the cost of shuffles, the need for serialization, and the amount of network traffic.
Caching is one of Spark's optimization strategies for reusing computations. It stores interim and partial results so they'll be utilised in subsequent computation stages.
It's the process of designing and building systems for gathering vast quantities of raw operational data from a variety of sources and formats, analyzing, converting, and storing it at scale.
A data product is not the same as data as a product. A data product aids the accomplishment of the product's goal by using the data, whereas in data as a product, the data itself is seen as the actual product.
When the granularity of data increases, its complexity also increases. At some point, we will reach a point where we cannot handle the volume of fresh data being generated.
Data governance is the process of defining security guidelines and policies and making sure they are followed by having authority and control over how data assets are managed.
Envelope encryption is a way of encrypting plaintext data using a key and then encrypting that key using an another key. This strategy is intended not just to make things more secure but also to enhance performance.
Anti-patterns at first seem to be quick and reasonable, they typically have adverse effects in the future. They are design and code smells. It affects our software badly and adds technical debt. We should avoid them at all costs.
Apache Airflow enables us to schedule tasks as code. In Airflow, a SLA determines the maximum completion time for a task or DAG. Note that SLAs are established based on the DAG execution date, not the task start time.
Rust's ownership and borrowing features prevent us from experiencing memory-related problems. Rust is a great choice when performance matters and it solves pain points that bother many other languages.
Access modifiers, also known as access specifiers, determine the accessibility and scope of classes, methods, and other members. Scala's access modifiers closely resemble those of Java, although they provide more granular and powerful visibility control than Java.
Terraform is an open source infrastructure-as-code tool that allows us to programmatically provision the physical resources required for an application to run.
web server
If you like my posts and don't want to miss any of them, sign up for my newsletter.
