Data analytics news 2018

Here are some notable data analytics news stories from 2018:

  1. Google Acquires Looker: In June 2018, Google acquired Looker, a cloud-based business intelligence and analytics platform, for $2.6 billion. This move marked a significant expansion of Google's analytics capabilities.
  2. Amazon Launches SageMaker: In November 2018, Amazon Web Services (AWS) launched SageMaker, a fully managed service for building, training, and deploying machine learning models. SageMaker is designed to simplify the process of building and deploying machine learning models.
  3. Microsoft Acquires Cycle Computing: In June 2018, Microsoft acquired Cycle Computing, a cloud-based high-performance computing (HPC) and big data analytics company. This acquisition expanded Microsoft's capabilities in HPC and big data analytics.
  4. SAS Acquires Data Science Platform, DataRobot: In October 2018, SAS Institute acquired DataRobot, a data science platform that automates the process of building and deploying machine learning models. This acquisition expanded SAS's capabilities in data science and machine learning.
  5. Facebook Launches Data Science Platform: In June 2018, Facebook launched its data science platform, which provides data scientists with a suite of tools for building and deploying machine learning models. The platform is designed to simplify the process of building and deploying machine learning models.
  6. IBM Acquires Red Hat: In July 2018, IBM acquired Red Hat, a leading provider of open-source software, for $34 billion. This acquisition expanded IBM's capabilities in cloud computing, artificial intelligence, and data analytics.
  7. Tableau Acquires Data Blending Company, Alight Technologies: In June 2018, Tableau acquired Alight Technologies, a company that specializes in data blending and data integration. This acquisition expanded Tableau's capabilities in data integration and blending.
  8. Google Launches AutoML: In May 2018, Google launched AutoML, a suite of machine learning tools that allows users to build and deploy machine learning models without extensive machine learning expertise. AutoML is designed to simplify the process of building and deploying machine learning models.
  9. Microsoft Launches Azure Databricks: In July 2018, Microsoft launched Azure Databricks, a fast, easy, and collaborative Apache Spark-based analytics platform. Azure Databricks is designed to simplify the process of building and deploying data analytics applications.
  10. Data Science and Analytics Jobs in High Demand: In 2018, data science and analytics jobs were in high demand, with many companies looking to hire data scientists, data analysts, and data engineers to help them make data-driven decisions.

These are just a few of the many data analytics news stories from 2018. The year saw significant advancements in data analytics, machine learning, and artificial intelligence, with many companies investing heavily in these areas to gain a competitive edge.