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05SepSeptember 5, 2022

Orchestrating Multi-Brokers Kafka Cluster through CLI Commands

This short article aims to highlight the list of commands to manage a running multi-broker multi-topic Kafka cluster utilizing built-in scripts. These commands will be helpful/beneficial when the cluster is not integrated or hooked up with any third party administrative tool having GUI facilities to administer or control on the fly. Of course, most of them are not free to use. Can refer here to set up a multi-broker Kafka cluster.By executing the built-in scripts available inside the bin...

By Gautam GoswamiApache Kafka, Data EngineeringApache Kafka, Big Data, bin directory of the Kafka, Kafka, Kafka Administration, list of commands to run multi-broker multi-topic Kafka cluster, modify a Kafka topic, number of replication factor can’t be higher than the number of broker in the cluster, Orchestrating Multi-Brokers Kafka Cluster, Orchestrating Multi-Brokers Kafka Cluster through CLI Commands, retention time of a Kafka topic, retrieve log directories information from the kafka brokersComments Off

25AugAugust 25, 2022

Importance of Schema Registry on Kafka Based Data Streaming Pipelines

Needless to say Apache Kafka delivers messages to both real-time and batch consumers without performance degradation and in addition to that gaining enormous momentum as a foremost component for data streaming pipelines too. Credit card fraud detection, predictive maintenance, or real-time analytics, building streaming IoT platform, etc are the example of real-time use cases. To handle massive amounts of data ingestion, Apache Kafka is the cornerstone of a robust IoT data platform. A schema defines the structure of the data...

By Gautam GoswamiApache Kafka, Architecture, Data Engineering, Data IngestionApache Kafka, assign schema info in the schema registry, Avro, building streaming IoT platform, centralized schema management, Confluent Schema Registry, Credit card fraud detection, Data ingestion, data pipeline, Data Pipelines, Data Streaming, deserialized the messages, distributed storage layer for schemas, Hadoop, JSON Schema, Kafka based data pipeline, Kafka based data streaming pipelines, Kafka connect, Kafka producers and consumers, multi-broker Kafka topic, Multi-node kafka cluster, predictive maintenance, producer-consumer contract, Protobuf schemas, real-time analytics, schema change history, schema evolution, schema of registered data streams, schema registry, Schema Registry on Kafka Based Data Streaming Pipelines, Schema Registry on Kafka Streaming Pipelines, service layer for metadata, streaming applications, streaming data to Kafka topicComments Off

18AugAugust 18, 2022

Why Kappa Architecture for processing of streaming data. Have competence to superseding Lambda Architecture?

Data is quickly becoming the new currency of the digital economy, but it is useless if it can’t be processed. The processing of data is essential for subsequent decision-making or executable actions either by the human brain or various devices/applications etc. There are two primary ways of processing data namely batch processing and stream processing. Typically batch processing has been adopted for very large data sets and projects where there is a necessity for deeper data analysis, on the...

By Gautam GoswamiArchitecture, Data Engineering, Data IngestionAmazon Kinesis, Apache Flink, Apache Hadoop, Apache Kafka, Apache Samza, Apache Storm, batch processing layer, Big Data, Data Lake, data warehouse, event based Kappa architecture, event streaming platform, Hadoop Data Lake, HDFS, Kafka, Kafka Architecture Development Kafka Architecture Development, Kappa Architecture, Kappa Architecture for streaming data, Lambda Architecture, Map-Reduce framework, messaging engine, multiple stream processors, stream processing application, streaming computation system, streaming data analyticsComments Off

19JanJanuary 19, 2021

iDropper – The Data Ingestion, Monitoring and Reporting Tool

In today’s complicated world of business, the data, organizations own and how they use it, make them different from others to innovate, to compete better and to stay ahead in the business. That’s the driving factor for the organizations to collect and process as much data as possible, transform it into information with data-driven discoveries, and deliver it to the end user in the right format for smart decision-making. Common Challenges/Concerns Fetching the raw data files from the various data...

By Kislay KomalData Analysis, Data IngestionBig Data Analytics Big Data Analytics, Creating Data Lake Creating Data Lake, Data Absorption Software, Data Absorption Tool, Data Ingestion and Reporting, Data Ingestion and Reporting Software, Data Ingestion Software, Data Ingestion Tool, IDropper, Migrating data from multiple data sources, The Data Ingestion and Reporting SoftwareComments Off

30MarMarch 30, 2019

Error while batch processing of rest data persisted in Basic Hadoop based (HDFS) Data Lake “Permission denied: user=dr.who, access=READ_EXECUTE, inode=”/tmp”:hdadmin:supergroup:drwx……..”

Typically, persisting unstructured data and subsequent batch processing can be very costly and is not advisable for small organizations & startups, as cost is prime factor for them. A Hadoop based Data Lake using Map-Reduce, fits perfectly in this scenario which is not only cost effective but also scalable and easy to extend further. Though it may sound a great option to have, we might face issues while setting up the same and one of common issues is, error "Permission...

By Kislay KomalData Engineering, Multi Node Hadoop Cluster Setup"Permission denied: user=dr.who, access=READ_EXECUTE, Error while batch processing of rest data persisted, Error while batch processing of rest data persisted in Basic Hadoop based (HDFS) Data Lake "Permission denied: user=dr.who, Error while batch processing of rest data persisted in Basic Hadoop based Data Lake, Error while batch processing of rest data persisted in Basic HDFS, Error while batch processing of rest data persisted in HDFS, inode="/tmp":hdadmin:supergroup:drwx........"Comments Off

27MarMarch 27, 2019

Resolved – ” Incompatible clusterIds in… ” in Multi Node Hadoop Cluster Setup

Currently, there are many startups / small companies and their customers, working on Data Analytics, ML, AI and related solutions. Due to their budget constraints, some of them don't want to leverage Cloud-based storage. Alternatively, to process ingested data, they create basic Data Lake using HDFS. During this process, they might encounter the exception of "org.apache.hadoop.hdfs.server.common.Storage: java.io.IOException: Incompatible clusterIDs in /home/....". while starting the Name Node or Master Node in a multi-node Hadoop Cluster. This may occur in the following scenarios: ...

By Gautam GoswamiApache Hadoop, Data Engineering, Multi Node Hadoop Cluster Setup/home/hadoop/data/dataNode, > hdfs namenode -format, adding a new Data Node, adding a new Data Node to the cluster, Adding different operational node to cluster, Adding different operational node to cluster based on increasing data volume, clusterID, dfs.datanode.data.dir, dfs.namenode.name.dir, format the Name node, formatting the Name node, FsImage, FsImage file, HADOOP Cluster, Hadoop Cluster Setup, hdfs-site.xml, Incompatible clusterIds in, Multi Node Hadoop Cluster, Multi Node Hadoop Cluster Setup, Name Node and Master Node, org.apache.hadoop.hdfs.server.common.Storage: java.io.IOException: Incompatible clusterIDs in /home/, Resolved Incompatible clusterIds in, setting up HDFS data lake for organizations, setting up HDFS data lake for startups, setting up your own HDFS data lake, Starting Master Node, Starting Name NodeComments Off

02MarMarch 2, 2019

Network Topology To Create Multi Node Hybrid Cluster For Hadoop Installation

The aim of this article is to provide an outline for creating network topology for Hadoop installation in multi node hybrid cluster with limited available hardware resources. This cluster would be beneficial for learning Hadoop, with lower volume of unstructured data processing using various engines etc. Before the cluster setup: We installed Hadoop on a single node cluster running on Ubuntu 14.04 on top of Windows 10 using VMware workstation player. Later we have copied the .vmx file into multiple...

By Gautam GoswamiApache Hadoop, Data Engineering.vmx file, Assign static IP to Ubuntu VMware workstation players, Choosing a network switch over router, Configuration of data nodes with name node, Configure Internet Protocol Version 4 (TCP/IPv4) on Windows, Create Multi Node Hybrid Cluster, Create Multi Node Hybrid Cluster For Hadoop Installation, creating network topology for Hadoop installation, D-Link DES-1005C 10/100 Network Switch, Dell Inspiron 1525 Laptop with 2 GB RAM and Ubuntu 14.04 as operating system, Dell Inspiron 5458 Laptop with 16 GB RAM and Windows 10 as host operating system, Desktop with 8 GB RAM and Windows 7 Professional as host operating system, Ethernet LAN setup using Network Switch, guest OS, Hadoop, Hadoop Installation, Lenovo B40-80 Laptop with 4 GB RAM and Windows 10 as host operating system, Multi Node Hybrid Cluster, Multi Node Hybrid Cluster For Hadoop Installation, Network Adapter setting on the VM Player, Network Topology For Hadoop Installation, Network Topology To Create Multi Node Hybrid Cluster, Network Topology To Create Multi Node Hybrid Cluster For Hadoop Installation, OS Ubuntu 14.04, PC to Router, PC to Switch, Router to Switch, single node cluster running on Ubuntu, Straight-through cables, Ubuntu on top of Windows, Ubuntu on top of Windows 10 using VMware workstation player, VMware Workstation 12 player, VMware Workstation 7.x player, Windows using VMware workstation playerComments Off

25JunJune 25, 2018

Data Governance & Security Mechanism in Distributed Data Storage System

We are aware that the traditional data storage mechanism is incapable to hold the massive volume of data generated with lightning speed for further utilization even if we perform vertical scaling, and we have anticipated only one fuel, nothing but DATA to accelerate the movement across all the sectors starting from business to natural resources including medical towards rapid growth. But the question is how to persist this massive volume of data for processing? The answer is, storing the data...

By Gautam GoswamiApache Hadoop, Data Engineering, Storage MechanismApache Knox gateway, Data Governance, Data Governance & Security Mechanism in Distributed Data Storage System, Data Security Mechanism, Data Security Mechanism in Distributed Data Storage System, Data Storage System, Distributed Data Storage System, HDFS, HDFS cluster, Integration with LDAP, Kerberos, Kerberos for authentication, managing data accessComments Off

02JunJune 2, 2018

Processing and Analysis of Big Telecom Data to minimize crime, combat terrorism, unsocial activities etc.

Telecom providers have a treasure trove of captive data - customer data, CDR (call detail records), call center interactions, tower logs etc. and are metaphorically “sitting on a gold mine”. Ideally, each category of the generated data has the following information. ⦁ Customer data consolidates customer id, plan details, demographic, subscribed services and spending patterns ⦁ Service data category consolidates types of customer, customer history, complain category, query resolved etc. are on ⦁ Usually for the smart mobile phone subscriber,...

By Kislay KomalApache Hadoop, Architecture, Data Analysis, Data EngineeringBig Data Processing and Analysis, Processing and Analysis of Big Telecom Data, Processing and Analysis of Telecom Data, Telecom Data, Telecom Data Processing and AnalysisComments Off

21JanJanuary 21, 2018

Deleting Solr log files/folder from Standby NameNode could be the disaster when Primary NameNode is active in the HDP (Hortonworks Data Platform) Hadoop Cluster

Most of us know that we use Apache Ambari for managing, provisioning and monitor different components of a Hortonworks Hadoop cluster. We also know that Apache Ranger can be used as a centralized security administration solution for Hadoop that enables administrators to create and enforce security policies for HDFS and other Hadoop platform components. When ranger hdfs plugin is enabled ,it writes the client interaction activity to Solr if it is configured. The default location of this solr log files...

By Kislay KomalApache Hadoop, Data EngineeringComments Off