Big Data Product Training
We offer training program on Big Data Product, such as Databricks, Snowflake, Starburst, and others. The complete list of products, that we offer training, is at section below. This training program is about knowing about the product architecture, knowing about all product features in practical, and functioning of the product in all aspects. This training program will help individual to be industry ready to work in the Organizations.
Course Duration: 3 Months
Course Objectives
- Upskill and Reskill.
- Knowing about the product architecture.
- Knowing about all product features in practical.
- Knowing how to run proof-of-concept (PoC) on the product.
- Knowing about the product capabilities and limitations on business use cases.
- Competitive analysis.
- Manage Day to Day product operations.
Course Topics
- Topics cover the syllabus
Course Methodology
- Big data maturity model : TDWI or CSC or Others
- CRISP-DM : The CRoss Industry Standard Process for Data Mining (CRISP-DM) is a process model that serves as the base for a data science process.
- SEMMA : SEMMA is a list of sequential steps developed by SAS Institute, one of the largest producers of statistics and business intelligence software.
- OSEMN : OSEMN stands for Obtain, Scrub, Explore, Model, and iNterpret. It is a list of tasks a data scientist should be familiar and comfortable working on.
- TDSP : The Team Data Science Process (TDSP) is a method for developing predictive analytics solutions and intelligent applications in a cost-effective and timely manner.
- TPC-X : Transaction Processing Performance Council benchmark for Hadoop, DS (Decision support), DI (Data Integration), AI (Artificial Intelligence).
- PDLC - Product Development Life Cycle
Big Data Organizations and Products
- Databricks - Unify all your data, analytics and AI on one platform
- Snowflake - Cloud-based data warehousing platform with separation of compute and storage
- Vertica - Performance analytical database for real-time analytics
- Confluent - Streaming platform for managing and processing high volumes of real-time data
- Starburst - Open-source distributed SQL query engine to query data across disparate sources
- Dremio - Its ability to accelerate data access and analytics on data lakes
- Qubole - Qubole is an open, simple, and secure data lake platform
- Control-M - Transform business with application and data workflow orchestration
- Posit - Deploy all your work, including Shiny, Streamlit, and Dash applications, Models
- Tlmi - Specialists in Machine Learning, AI, Big Data and BI
- Snowplow - Event data collection and analytics platform with flexibility and extensibility
- Cloudera - Enterprise-grade platform, which combines open-source technologies
- Vantage - Provides advanced Big Data capabilities
- Druid - High performance, real-time analytics database
- Aerospike - High-performance, low-latency NoSQL database
- Beam - Unified programming model for batch and streaming data processing
Cloud Big Data Organization and Products
- AWS EMR - Easily run and scale Apache Spark, Hive, Presto, and other big data workloads
- AWS Managed Airflow - Highly available managed workflow orchestration for Apache Airflow
- IBM Big Data - Leverage effective big data technologies
- Azure Big Data - How big data analytics works and why it matters
- Oracle Big Data - Help data professionals manage, catalog, and process raw data
- GCP Big Query - BigQuery is a serverless and cost-effective enterprise data warehouse
