Hadoop Data Lake - Real-time Data Streaming, Real-time Data Processing, Real-time Data Analytics | Data Engineering Solution in Bangalore | Apache Kafka Streaming Solutions in Bangalore | Kafka Confluent Cloud Solutions in Bangalore | Kafka Streaming Implementation Support in Bangalore | Apache Kafka Support in Bangalore | Multinode Kafka Cluster Setup in Bangalore | Kafka Application Consulting in Bangalore | Kafka cloud implementation in Bangalore | Kafka infrastructure consulting in Bangalore | Kafka security implementation in Bangalore | Kafka upgrade support in Bangalore | Zookeeper setup support in Bangalore | Zookeeper Solutions in Bangalore | Multinode Zookeeper Setup in Bangalore | Big Data Consulting Service Providers in Bangalore | Data Analytics Consutling Services in Bangalore | Big Data Solution Providers in Bangalore | Big Data Analytics Companies in Bangalore | Data Analytic Services in Bangalore | Big Data Services in Bangalore | Big Data Analytics Solutions in Bangalore | Big Data Analytics Service Providers in Bangalore | Big Data Case Studies | Big Data Companies in Bangalore | Multi Node Hadoop Cluster | Data Lake creation and support | Data Ingestion Services in Bangalore | Koolanch | Artificial Intelliegence Solutions in Bangalore | Predictive Analysis Solution in Bangalore | Machine Learning Solution in Bangalore | Deep Learning Solutions Bangalore | ChatBots for Websites | Text to Speech API | DialogFlow ChatBots | ChatBots using DialogFlow | AI based image processing | AI solution providers in Bangalore | AI based Predictive Analytics | Conversational Bots Development in Bangalore | AI chatbots and voicebots | E-Commerce Solution Providers in Bangalore | Demandware Consulting Service in Bangalore | Demandware Companies in Bangalore | SFCC Consulting Service in Bangalore | SFCC Consulting Companies in Bangalore | SFCC Service Providers in Bangalore | Demandware Contract Staffing in Bangalore | Salesforce Commerce Cloud Consulting Services in Bangalore | SFCC Contract Staffing in Bangalore | Salesforce Commerce Cloud Contract Staffing in Bangalore | Oracle Consulting Services in Bangalore | Oracle Service Providers in Bangalore | Oracle Contract Staffing in Bangalore | OCC Contract Staffing in Bangalore | Oracle Commerce Cloud Consulting in Bangalore | Oracle Commerce Cloud Companies in Bangalore | SAP Hybris Consulting Services in Bangalore | SAP Hybris Service Providers in Bangalore | SAP Hybris Contract Staffing in Bangalore | SAP Hybris Commerce Cloud Consulting in Bangalore | SAP Hybris Companies in Bangalore | SAP Hybris Solutions in Bangalore | Hybris Commerce Solution in India | Hybris Solution Provider Companies | Magento Consulting Services in Bangalore | Magento Service Providers in Bangalore | Magento Contract Staffing in Bangalore | Magento Commerce Cloud Consulting in Bangalore | Magento Companies in Bangalore | Mobile App Development Company in Bangalore | Android App Development Services in Bangalore | Location Tracking Based Mobile App Development | Mobile App Development In Bangalore | Mobility Solution Provider in Bangalore | SQL Server Support Services in Bangalore | SQL Server Support Companies in Bangalore | Data Mining Solution in Bangalore | Custom App Development in Bangalore

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

11JanJanuary 11, 2021

Data Security

By Kislay KomalApache Ranger, Apache Sentry, Big Data Security, Data Lake, data privacy, Data Security, Data Security Framework, Data security layer, data theft, enables data privacy, Hadoop Data Lake, HDFS, Hive, proof of concept, Safeguarding the Hadoop Data lake, sensitive data theft, Traditional security mechanismComments Off

11JanJanuary 11, 2021

Data Absorption (Ingestion)

By Kislay KomalAbsorption, accumulate business data, Apache Flume, Apache Kafka, Apache Sqoop, Big Data Analysis service in Bangalore, Big data ingestion architecture, central data repository, creating hadoop data lake, Data Absorption, Data Absorption Service in Bangalore, data analytics, Data ingestion, data ingestion architecture, Data Ingestion Service in Bangalore, Data Lake, data pipeline, distributed centralized repository, Hadoop Data Lake, Hadoop Data Lake Creation, heterogeneous data, how to create hadoop data lake, IDropper, Ingestion, ingestion architecture, Kafka, moving heterogeneous data, poc, preserve business data, production server log files, proof of concept, rdbms, Sqoop, structured data, unstructured data, using apache flumeComments Off

11JanJanuary 11, 2021

Distributed Incubator

By Kislay KomalApache Hadoop, AWS Cloud, Big Data Analysis service in Bangalore, construct the Data Lake, customer inclination, customer sentiments, Data Absorption Service in Bangalore, Data ingestion, Data Ingestion Service in Bangalore, Data Lake, Data Transformation, data visibility, Distributed Data Incubator, distributed data storage, Distributed Incubator, ELT concept, extracting heterogeneous data, fault tolerance, Hadoop Data Lake, Hadoop Data Lake Creation, Hadoop Distributed File System, persisting data, replication, traditional databases, unbounded storage capacityComments Off

29AugAugust 29, 2017

Data Ingestion phase for migrating enterprise data into Hadoop Data Lake

The Big Data solutions helps to achieve valuable information to iron out the accurate strategic business decision. Exponential growth of digitalization, social media, telecommunication etc. are fueling enormous data generation everywhere. Prior to process of huge volume of data, we should have efficient data storage mechanism in a distributed manner to hold any form of data starting from structured to unstructured. Hadoop distributed file systems (HDFS) can be leveraged efficiently as data lake by installing on multi node cluster....

By Gautam GoswamiData Engineering, Data IngestionApache software foundation, Apache Sqoop, ata storage mechanism, ATG database, ATG database schema, cloud service providers, collecting Twitter streaming data, Couchbase, Data ingestion, Data Ingestion phase for migrating enterprise data into Hadoop Data Lake, Data Lake, data storage mechanism, DB2, Digitization, distributed storage, efficient data storage mechanism, ELT, enterprise data, export data from Kafka topic to HDFS, fault-tolerant, Flume, Hadoop, HADOOP Cluster, Hadoop Data Lake, Hadoop distributed file systems, Hadoop multi node cluster, HDFS, Hive, huge data reservoirs, huge volume of data, Ingestion, JDBC connector, JDBC protocol, Kafka, Kafka HDFS connector, Kafka to HDFS, Mainframe, mainframe dataset to HDFS, MapReduce, MapReduce distributed computing, migrating enterprise data, moving large amount of streaming data into HDFS, multi node cluster, multiple delimited text files, MySQL, Netezza, NoSql DB, NoSql Stores, Oracle, Oracle 11g Enterprise Edition, Oracle ATG Platform, parallel import process, parallel processing, pluggable mechanism, PostgreSQL, read the messages from Kafka topic, SQLServer, Sqoop, Sqoop installation, Strom, Using Kafka HDFS connectorComments Off

05AprApril 5, 2017

Basic concept of Data Lake

The left side info graphics represents the basic concept of Data Lake where we can use the approach of ELT (Extraction, loading and then transformation) against traditional ETL (Extraction, Transformation and then loading) process. ETL process implies to traditional data warehousing system where structured data format follows (row and column). By leveraging HDFS (Hadoop Distributed File System), we can develop data lake to store any format data in order to process and analysis. Directly data can be loaded in the Lake...

By Gautam GoswamiData Engineering, Storage Mechanismbasic concept of Data Lake, concept of Data Lake, Data Lake, Data Transformation, data warehouse, data warehousing, data warehousing system, ELT, ETL, Extraction loading and transformation, Extraction Transformation and loading, fault-tolerant, Hadoop Data Lake, Hadoop Distributed File System, HDFS, how to create hadoop data lake, Semi Structured data, structured data, Traditional data warehouse, unstructured dataComments Off

Tag - Hadoop Data Lake

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

Data Security

Data Absorption (Ingestion)

Distributed Incubator

Basic concept of Data Lake

ready to realize your digital transformation dreams?