Students will lead data bricks admin end to end with security .

Databricks admin will give exposure to market as per current market needs and demand . there is huge demand in this area . candidate will work on multi node cluster environment , cluster capacity , design security policy and apply security policy for users , group , data , table , rows level security .

Candidate will work on azure cloud , aws cloud to work and hands on session on databricks infrastructure . candiate can write databricks admin exam from databricks academy . I will cover about dev ops on databricks . Student will learn from basic to advance concept on databricks . Databricks admin will provide complete knowledge to work on command line , ui interface . Student will learn unity catalog in details to manage cluster , workspace , work flow , notebook , spark cluster . Unity catalog is mostly used for admin role . candidate will learn lake house architecture , delta table architecture to understand to provide access permission on data .

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About the Trainer

4.8 Avg Rating

234 Reviews

345 Students

16 Courses

Amit Raj

MSCIT

4 Years of Experience

About Me :
• Overall total 14.5+ years of Experience years of Experience in Application Design, Development & Deployment of Hadoop Eco System/Java/J2EE systems with good exposure to Enterprise Architectures.
• Relevant Experience 8.2 yrs into Big Data technologies working on multiple clients and domain knowledges.
• Experienced in Cassandra data modelling, cluster setup and data management.
• Experienced in working with Spark-RDD, Spark SQL and Spark Data Frame using MLIb to analyze structure data queries.
• Experienced to design solution using Spark Streaming and Kafka Streaming for Payment Gateway / point of sales events.
• Individual Contribution (Kafka Architect) : Delivered UAT and PROD Cluster within the timeline for Kafka cluster using Cloudera 6.x, CSP 2.0 .
• Implemented unified data platform to gather data from different sources using Kafka Producers and consumers in Scala and java.
• Solid background in Object-Oriented analysis & design, UML and various design patterns.
• Worked using Azure cloud(Blob,EventHub),kubernetes ,docker with Spark, scala ,Schema Registry , Avro Schema with home security application for Honeywell
• Implemented KSQL ,KTable and KStream using Confluent Kafka along with Kafka Connect .
• Hands on Data bricks - Databricks Clusters , Data Lakehouse , Delta lake , DBFS, EXPLORE, Analyze, Clean, Transform and Load Data in Databricks.
• Hands on Azure service - ADF ,ADLS ,Event hub, Security , NoSQL
• Motivated Technical Architect with 5 years of progressive experience.
• Energetic self-starter and team builder. Navigates high-stress situations and achieves goals on time and under budget.
• Effectively manages assignments and team members.
• Dedicated to self-development to provide expectation-exceeding service. Customer-focused , successfully contributing to company profits by improving team efficiency and productivity.
• Utilizes excellent organizational skill to enhance efficiency and lead teams to achieve outstanding delivery.

SKILLS
• Database architecture
• Database architecture development
• Data architecture
• Big Data ETL
• Technical solution development
• Azure data solutions
• Data insight provision
• Technical guidance
• IT architecture
• Technical solutions
• Big data frameworks

Technical Skills:

Hortonworks2.5, Cloudera5/6, Apache Hadoop2/3 ,Spark2/3,Apache Kafka, Confluent Kafka, Hive 2/3,Impala,Sqoop,OOZie,Zookeeper, Apache NiFI, Splunk ,Snowflake, Data Build tool (DBT) , HBase, Apache Cassandra /DataStax Cassandra , Data bricks , Azure Cloud , AWS cloud ,Airflow etc. .
Programming Language Python ,Scala & Java
Other Tools Kibana,Logstash,ElasticSearch,ELK-Hadoop,SBT, Elassandra, Tableau,