We are familiar with linkedin which is social networking site where many people are connected to each other and share their experience and opportunity to other. These all people are professional, experienced,expert in their era,Employee of the best companies.
1. Big Data and Analytics
Members: 354,502
Founded in 2012 by Rob Howes, Linkedin Group: Big Data and Analytics has grown to be the largest and most active group of it's kind. With over 300,000 members, it has become the go-to community for all things data. You will find a wide range of topics including AI, Machine learning, Blockchain, etc. This group is moderated and managed by Sarah Howes. Contact :Sarah@howesmedia.com
2. Big Data, Analytics, Business Intelligence & Visualization Experts Community
Members: 252,466
A premier community for both existing expert professionals and companies researching the convergence of big data analytics and discovery, Hadoop, data warehousing, cloud, unified data architectures, digital marketing, visualization and business intelligence.
3. Business Intelligence Professionals (BI, Big Data, Analytics)
Members: 231,388
This group covers the broad area of data analytics & intelligence for businesses. Tools, frameworks, white papers, industry news & best practices! PLEASE READ THE GROUP RULES before participating! Visit Aigents.co to discover career opportunities for Data-, AI- & Machine Learning Engineers.
4. Data Mining, Statistics, Big Data, Data Visualization, and Data Science
Members: 181,538
This is a group for data mining and statistical professionals who wish to expand our network of people and share ideas. Methodological issues are fair game, as well as discussion of software (SAS, R, WEKA, etc), technology (Hadoop, relational databases, etc) conferences, and job postings. Please note that job postings should only be submitted in the Jobs space, while advertising of services should only be submitted.
5. Big Data, Analytics, IoT (Internet of Things) & Blockchain
Members: 75,012
The group promotes discussion around Big Data, NoSql and Cloud Computing. Like Big Data Analytics, BI, SAS, Big Data Hadoop, Big Data MapReduce, YARN, PIG, Hive, HQL, Oozie, Sqoop, Flume, Kafka, Spark, Big Data NoSQL, HBase, Casandra, MongoDB,
6. IBM Big Data and Analytics
Members: 47,702
Everyday, we create 2.5 Quintilion bytes of data–so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: from sensors used to gather climate information, posts to social media sites, digital pictures and videos posted online, transaction records of online purchases, and from cell phone GPS signals to name a few. This data is big data.
7. Advanced Analytics and Data Science
Members: 12,054
Our mission is to provide a resource for people who want to learn about and use advanced analytics and data science capabilities. Meet other people involved with predictive analytics, statistics, machine learning, decision optimization, real-time analytics and big data to have discussions and make connections. Whether you are a data professional who wants to extract meaning from and interpret data, or an expert analyst responsible for making decisions in areas such as marketing, operations, finance, HR or sales, this is the place for you.
1. Big Data and Analytics
Members: 354,502
Founded in 2012 by Rob Howes, Linkedin Group: Big Data and Analytics has grown to be the largest and most active group of it's kind. With over 300,000 members, it has become the go-to community for all things data. You will find a wide range of topics including AI, Machine learning, Blockchain, etc. This group is moderated and managed by Sarah Howes. Contact :Sarah@howesmedia.com
2. Big Data, Analytics, Business Intelligence & Visualization Experts Community
Members: 252,466
A premier community for both existing expert professionals and companies researching the convergence of big data analytics and discovery, Hadoop, data warehousing, cloud, unified data architectures, digital marketing, visualization and business intelligence.
3. Business Intelligence Professionals (BI, Big Data, Analytics)
Members: 231,388
This group covers the broad area of data analytics & intelligence for businesses. Tools, frameworks, white papers, industry news & best practices! PLEASE READ THE GROUP RULES before participating! Visit Aigents.co to discover career opportunities for Data-, AI- & Machine Learning Engineers.
4. Data Mining, Statistics, Big Data, Data Visualization, and Data Science
Members: 181,538
This is a group for data mining and statistical professionals who wish to expand our network of people and share ideas. Methodological issues are fair game, as well as discussion of software (SAS, R, WEKA, etc), technology (Hadoop, relational databases, etc) conferences, and job postings. Please note that job postings should only be submitted in the Jobs space, while advertising of services should only be submitted.
5. Big Data, Analytics, IoT (Internet of Things) & Blockchain
Members: 75,012
The group promotes discussion around Big Data, NoSql and Cloud Computing. Like Big Data Analytics, BI, SAS, Big Data Hadoop, Big Data MapReduce, YARN, PIG, Hive, HQL, Oozie, Sqoop, Flume, Kafka, Spark, Big Data NoSQL, HBase, Casandra, MongoDB,
6. IBM Big Data and Analytics
Members: 47,702
Everyday, we create 2.5 Quintilion bytes of data–so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: from sensors used to gather climate information, posts to social media sites, digital pictures and videos posted online, transaction records of online purchases, and from cell phone GPS signals to name a few. This data is big data.
7. Advanced Analytics and Data Science
Members: 12,054
Our mission is to provide a resource for people who want to learn about and use advanced analytics and data science capabilities. Meet other people involved with predictive analytics, statistics, machine learning, decision optimization, real-time analytics and big data to have discussions and make connections. Whether you are a data professional who wants to extract meaning from and interpret data, or an expert analyst responsible for making decisions in areas such as marketing, operations, finance, HR or sales, this is the place for you.
