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tags Data Containers runtime es2015.71ef2053416eb56bfb99.js
1-10 of 179 results

How to Structure Content Using HTML5 Semantic Tags

Dinanath Jayaswal

The article provides an overview of the latest meaningful HTML 5 semantic tags like header, section, footer, article, aside, nav, and accessibility WAI-ARIA. Use of these semantic tags can modernize your web pages and significantly improve search engines interactions.

Containers & Service Mesh

A service mesh is a new paradigm that provides containers and microservices-based applications with services integrated directly within the compute cluster. A service mesh provides monitoring, scalability, and high availability services for modern applications through APIs instead of using discrete appliances. Implementing a service mesh layer ensures that communication among containerized infrastructure services is fast, reliable and secure. It is a configurable, low‑latency infrastructure layer that handles service-to-service communication.

Indiresh Govindaraju

Senior technical lead skilled in Dot Net, Angular JS, ASP.NET MVC, Scrum, Agile, R Programming, .NET Remoting, jQuery, Web API, WCF etc.

Imdad JS

Siva Kalyan Karpurapu

A Certified Informatica Developer, Certified Data warehousing specialist, Informatica, Datastage, OBIEE, Pentaho BI etc.

Sarika Jagannath Nikam

I am a MSBI & IBM technology professional with strong experience in the area of data warehouses, queries and reports. I have worked on several projects like ERP, healthcare, CRM, banking & finance.

My technology expertise of more than 10 years includes Microsoft SQL technologies, E-commers, data governance, data warehousing, and IBM Cognos

Docker DevOps Services

Docker is a software platform that simplifies the process of building, running, managing and distributing applications inside software containers by virtualizing multiple operating systems running on the same host. Because of the Docker containers, the application will run the same way on any other OS despite the customized mode.

Abhishek Singh

Over 1.4 years of Total IT professional experience in Big data and data warehousing (ETL/ELT) technologies

includes requirements gathering, data analysis, design, development, system integration testing, deployments

and documentation.

● Research & develop Machine Learning models for Defense.

● Research Models for human detection in any climate circumstances.

● Provide SW specifications, production quality code and engage with algorithm proliferation activities

● Research and develop machine learning algorithms for drone night vision human detection.

● Hands on experience in solutions for Big data using Hadoop, HDFS, Map Reduce, Spark, PIG, Hive, Kafka, Sqoop,

Zoo keeper, Flume, Oozie.

● Excellent knowledge and hands on experience of Hadoop architecture and various components such as HDFS, Job

Tracker, Task Tracker, Name Node, data Node and Mapreduce programming paradigm and monitoring systems.

● Hands on experience in installing, configuring, and using Hadoop ecosystem components and management.

● Experience in importing and exporting data using Sqoop from HDFS/Hive to Relational database Systems and

vice - versa.

● Experienced and well versed in writing and using UDFs in both Hive and PIG using scala

● Excellent understanding with different storage concepts like block storage, object storage, column storage,

compression storage.

● Extensive experience in Extraction, Transformation <<>> Loading (ETL and ELT) data from various sources into

data Warehouses and data marts with industry best practices.

● Experience with Informatica ETL for data movement, applying data transformations and data loads.

● Good working experience with different Relational DB systems.

● Very good understanding with implementations in building data warehousing and data marts with OLTP vs OLAP,

star vs snowflake schema, normalization vs denormalization methods.

● Hands on experience in building wrapper shell scripts and analysis shell commands in practice.

● Supported various reporting teams and experience with data visualization tool Tableau.

● Very good at SQL, data analysis, unit testing, debugging data quality issues.

What are Data Containers and how are they used?

Gopal Tiple

A file, say a power point presentation that you’ve created works flawlessly on your computer. The minute you open it elsewhere, glitches appear and your presentation starts looking strange or not function at all. Your nicely designed slide looks unintelligible, simply because the target computer doesn’t have the right font.

Abhimanyu Tomar

  • Experienced in solution design and architecture, development, project management and delivery of enterprise search solutions
  • Research and implement solution that fits project requirements.
  • Mentoring development teams implement best practices and optimize development
  • Skilled in front-end application design for products involving complex user interfaces
  • Worked on big Data architecture handling large volumes of Data & set up infrastructure for handling multi-terabyte Data repositories
  • Contributed in the development of Oodebe asynchronous I/O framework & performance testing platforms

Capabilities

  • SDLC
  • Open Source
  • UI/UX Development
  • HTML5, CSS, JS
  • Jquery, Jquery UI,Bootstrap
  • Data Modeling
  • SQL/NoSQL Databases
  • Big Data/NoSql
  • Agile/SCRUM

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