How to Structure Content Using HTML5 Semantic Tags
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.
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?
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.
Sriram Bajrang Bulusu
Sriram Bajrang Bulusu is a data expert creating, architecting and implementing data analytics solutions and leveraging cloud capabilities to generate actionable insights out of data.
Data Engineering
data Engineering has become increasingly relevant in the highly-connected, AI driven world. Today, data architectures are as vast and varied as the use-cases they support. For most of us, data architecture simply meant running an RDBMS for all of our needs, from transactional read-write workloads to ad-hoc point and scan analytics loads. As data grew in numbers more use-cases for data-driven products such as fraud detection systems, recommender systems, personalization services came into existence.
data engineers entered the field to solve our problems by introducing specialized data stores for example; search engines, graph engines, large scale data processing such as Spark, NoSQL, stream processing and the machinery to glue them together like ETL pipelines, Kafka, Sqoop, Flume.
Tarun Agarwal
A technology leader with experience in delivering data-driven solutions, expertise to leverage data, analytics, and AI for digital transformation.