Course that covers broadly the key NoSQL popular products from AWS and Google like, AWS DynamoDB, AWS DocumentDB, Google Firehose, Google BigTable, Google BigQuery, MongoDB, Cassandra, with hands-on in AWS and Google cloud
Helpful tips for using SQL , NoSQL databases, datwarehouse querying using aggregates, common table expressions, rollups, YoY, CTD and and many more financial related matters
An excel based data science course that offers insights of the new features like database functions, along with using advanced filters for the OR feature and many more that enables better data management and pre-processing
This is an exhaustive course from LinkedIn with courses from market leaders and big data professionals. It offers insights of the big data technologies, hands-on with various products from AWS, Google and Azure, with a focus on NoSQL DB like Hadoop, Hive, Spark, MongoDB, CouchDB, Cassandra, SQL Server 2016, AWS DynamoDB, Google BigTable and offers great details of the big data technology
This is a hands-on course for big data using Cloudera cluster and Hue to work with Hive database, create datamart for sample data engineering tasks like design of back office and client databases, facts , dimension tables , joining, creating views for ease of view
Helpful tips for using SQL , NoSQL databases, datwarehouse querying using aggregates, common table expressions, rollups, YoY, CTD and and many more financial related matters
An excel based data science course that offers insights of the new features like database functions, along with using advanced filters for the OR feature and many more that enables better data management and pre-processing
This is an exhaustive course from LinkedIn with courses from market leaders and big data professionals. It offers insights of the big data technologies, hands-on with various products from AWS, Google and Azure, with a focus on NoSQL DB like Hadoop, Hive, Spark, MongoDB, CouchDB, Cassandra, SQL Server 2016, AWS DynamoDB, Google BigTable and offers great details of the big data technology
This is a hands-on course for big data using Cloudera cluster and Hue to work with Hive database, create datamart for sample data engineering tasks like design of back office and client databases, facts , dimension tables , joining, creating views for ease of view
This course offers the basics of leading yourself and others,the critical competencies and best practices for effectively leading today and in the future,lead across differences and cultivate a more inclusive workplace; establish trust; build relationships up, down, and across the organization; lead change through agility and resilience; have difficult conversations; and more
LinkedIn course that offers process of turning "facts and figures" into "story" to engage and fulfill our human expectation for information, by showing you how to think about, and craft, stories from data by examining many compelling stories in detail
Introduces the concepts related to edge analytics, and explains how edge analytics fit alongside big data, traditional data warehousing, and other analytical environments, demonstrates sample architectures and core technologies such as intelligent digital video and sensor-produced data. Review specific solutions from Intel, Cisco, and other vendors, and shows how edge analytics can be applied in four different use cases: retail, manufacturing, IT security and systems management, and energy exploration.
This course shows how to use analytics to make data-driven decisions and gain competitive advantage,explore the differences between predictive and prescriptive analytics, and find out how to formulate questions,variety of simple techniques: averages, sampling, cherry picking, forecasting, and correlation and causality
Architecting big data applications batch mode application engineeringVijayananda Mohire
An excellent course with good architectural solutions for big data use cases. Offers usage of various big data technologies like HDFS, Hive, Kafka, Cassandra, Sqoop, Flume and data pipeline design, batch mode operations and storage of source data to various sinks using protocols like Avro and MySql DB
This course is about big data analytics using HBase and the Hadoop framework. Learn to describe HBase in the context of the NoSQL landscape, build simple architecture models, and explore basic HBase commands.
NexGen Solutions for cloud platforms, powered by GenQAIVijayananda Mohire
This is our next generation solutions powered by emerging technologies like AI, quantum computing, Blockchain, quantum cryptography etc. We have various offers that can help improved productivity, help automate and improve ease of doing business. We offer cloud based solutions and have a Hub to interface major cloud platforms.
This course offers the basics of leading yourself and others,the critical competencies and best practices for effectively leading today and in the future,lead across differences and cultivate a more inclusive workplace; establish trust; build relationships up, down, and across the organization; lead change through agility and resilience; have difficult conversations; and more
LinkedIn course that offers process of turning "facts and figures" into "story" to engage and fulfill our human expectation for information, by showing you how to think about, and craft, stories from data by examining many compelling stories in detail
Introduces the concepts related to edge analytics, and explains how edge analytics fit alongside big data, traditional data warehousing, and other analytical environments, demonstrates sample architectures and core technologies such as intelligent digital video and sensor-produced data. Review specific solutions from Intel, Cisco, and other vendors, and shows how edge analytics can be applied in four different use cases: retail, manufacturing, IT security and systems management, and energy exploration.
This course shows how to use analytics to make data-driven decisions and gain competitive advantage,explore the differences between predictive and prescriptive analytics, and find out how to formulate questions,variety of simple techniques: averages, sampling, cherry picking, forecasting, and correlation and causality
Architecting big data applications batch mode application engineeringVijayananda Mohire
An excellent course with good architectural solutions for big data use cases. Offers usage of various big data technologies like HDFS, Hive, Kafka, Cassandra, Sqoop, Flume and data pipeline design, batch mode operations and storage of source data to various sinks using protocols like Avro and MySql DB
This course is about big data analytics using HBase and the Hadoop framework. Learn to describe HBase in the context of the NoSQL landscape, build simple architecture models, and explore basic HBase commands.
NexGen Solutions for cloud platforms, powered by GenQAIVijayananda Mohire
This is our next generation solutions powered by emerging technologies like AI, quantum computing, Blockchain, quantum cryptography etc. We have various offers that can help improved productivity, help automate and improve ease of doing business. We offer cloud based solutions and have a Hub to interface major cloud platforms.
This is our project work at our startup for Data Science. This is part of our internal training and focused on data management for AI, ML and Generative AI apps
This is our contributions to the Data Science projects, as developed in our startup. These are part of partner trainings and in-house design and development and testing of the course material and concepts in Data Science and Engineering. It covers Data ingestion, data wrangling, feature engineering, data analysis, data storage, data extraction, querying data, formatting and visualizing data for various dashboards.Data is prepared for accurate ML model predictions and Generative AI apps
Considering the need and demand for high quality digital platforms that can help clients to get the most of the newer technology, we have proposed an IT Hub that allows for rapid on boarding of clients to various modules on a need basis, allowing them to subscribe to modules they need only. We have various modules.
This document offers a high level overview of our IT Hub that offers various modules allowing for clients to onboard faster and get the benefits of a large set of vendor products, tools, IDE related to AI, Quantum and Generative AI technologies.
This is my hands-on projects in quantum technologies. These are few of the key projects that I worked with that demonstrates my skills in using various concepts, tools, IDE and deriving the solutions by using quantum principles like superposition, and entanglement along with quantum circuits in realizing the concepts
This is my journey taken from year 2012 on wards, after graduation in my MS with major in AI. I have taken various certification courses, trainings, hands-on labs; few key ones are from Google, and Microsoft.
Agricultural and allied industries play a vital role in the progress of a nation and sustainable economic growth. Farmers play a vital role in this progress. Their hard work and efforts need to be praised and possibly offer them various tools and digital assets that can automate some of their various repetitive tasks such as back office operations, crop monitoring, and post-harvesting routines that might divert the attention of farmers from their core job.
We, at Bhadale IT have developed various products and services that are revolutionary and can offer effective solutions with our industrial partnerships with digital technology leaders like Intel and Microsoft. We have drafted this solution brief to illustrate our products and service offerings for the agricultural industry. We can tailor make highly customized solutions to meet individual project and farmer needs that can include use of various technologies like artificial intelligence, machine learning, data science and related machinery like drones and geo-spatial datasets and various information that can offer precise farming techniques and use of technology in improving production, improvised use of fertilizers, organic farming and reduced crop loss due to rodents, insects and regional diseases.
The focus of this solution is for farmers to adopt and migrate to digital cloud platform to Microsoft Azure that can boost quality and quantity of crop production and improve their supply chain and offer faster and mature downstream business operations.
This is our cloud offerings based on our partnership and relationship with Intel and Microsoft. We offer highly optimized Intel motherboards, memory, and software stack that is best suited for Azure cloud platform and can handle various types of models (IaaS, PaaS, SaaS) and Azure workloads in the public or private cloud.
Explore the fundamentals of GitHub Copilot and its potential to enhance productivity and foster innovation for both individual developers and businesses. Discover how to implement it within your organization and unleash its power for your own projects.
In this learning path, you'll:
Gain a comprehensive understanding of the distinctions between GitHub Copilot for Individuals, GitHub Copilot for Business, and GitHub Copilot X.
Explore various use cases for GitHub Copilot for Business, including real-life examples showcasing how customers have leveraged it to boost their productivity.
Receive step-by-step instructions on enabling GitHub Copilot for Individuals and GitHub Copilot for Business, ensuring a seamless integration into your workflows.
Practical ChatGPT From Use Cases to Prompt Engineering & Ethical ImplicationsVijayananda Mohire
This journey provides learners with a thorough exploration of ChatGPT, starting with an introduction to large language models and their capabilities, the series progresses through practical applications, advanced techniques, industry impacts, and important ethical considerations. Each course aims to equip learners with an in-depth understanding of the model, its functionality, and its wide-ranging applications.
Red Hat Enterprise Linux (RHEL) and Hybrid Cloud Infrastructure. Products that are developed for multi-cloud hybrid platform enabling seamless integration and portability of workloads across Red Hat and partner Infrastructure, public and private clouds.
Learners will be exposed to the foundations of Red Hat, Red Hat Enterprise Linux (RHEL) portfolio including Hybrid Cloud Infrastructure, how to identify target customers, distinguish Red Hat solutions from the competition, review key use cases, align to the sales conversation framework for positioning the solutions, and much more!
Upon completing this learning path, learners will receive the Red Hat Sales Specialist - Red Hat Enterprise Linux accreditation and be prepared to advance to the Red Hat Sales Specialist - Red Hat Enterprise Linux II learning path
This is my annual learning at Red Hat related to accreditation and courses at Red Hat partner training portal.
Learners will be exposed to the foundations of Red Hat, Red Hat Enterprise Linux (RHEL) portfolio including Hybrid Cloud Infrastructure, how to identify target customers, distinguish Red Hat solutions from the competition, review key use cases, align to the sales conversation framework for positioning the solutions, and much more!
Generative AI is a cutting-edge technology that will transform nearly every business function, ranging from content creation and product design, to improving customer experience and marketing new ideas. While the benefits of Generative AI are immense, the technology has its limitations and poses some ethical considerations. In this Journey, learners of all levels will develop a shared understanding of what Generative AI is, the guardrails for use and identify of how to use, build and experiment with the technology in a responsible manner. Learners will also develop skills for leading through this disruption with empathy, while cultivating the human skills to sustain the transformation
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
1. Certificate of Completion
Congratulations, Vijayananda Mohire
Cloud NoSQL for SQL Professionals
Course completed on Nov 26, 2020 at 06:20AM UTC • 2 hours 39 min
By continuing to learn, you have expanded your perspective, sharpened your
skills, and made yourself even more in demand.
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LinkedIn Learning
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Certificate Id: Ab8wEAfun5cFBcYZ0AghQNKOvLgA