Denodo’s Impact: Data Virtualization and its Intersection with the Big Data Fabric
The Data Fabric market is estimated to grow from $653 million this year to $2 billion by 2022, representing a CAGR of 26.6%, according to a new report published by MarketsandMarkets. The report cites the driving forces of increasing volume and variety of business data, the emerging need for business agility and accessibility, and the growing demand for […]
Read More →Fact or Fiction? Smart Data Visualization Tells the Tale
Click to learn more about author Kartik Patel. If you are considering a Business Intelligence solution, you ought to give some consideration to the concept of Smart Data Visualization and review your prospective solution to determine its capabilities in that regard. Smart Data Visualization provides many benefits to the organization and to the business users, who […]
Read More →Hadoop and Enterprise Information Management: Leveraging Big Data Solutions
The past few years have firmly established the importance of Big Data in the global business environment. 2017 looks to be the the year of greater Apache™ Hadoop implementation (both in terms of its open source development and more available commercial options) at the enterprise level, as Enterprise Information Management (EIM) continues to need more […]
Read More →Octopai Transforms Business Intelligence with the First Ever Metadata Search Engine
by Angela Guess A new press release reports, “Octopai (www.octopai.com) introduces the first ever cloud-based metadata search engine tool to provide Business Intelligence (BI) groups with full visibility and control of metadata that is scattered across many different BI systems within an organization. By centralizing and automating metadata, Octopai enables BI groups to quickly and […]
Read More →Dresner Advisory Services Publishes Inaugural Data Catalog Market Study
by Angela Guess A recent press release reports, “Dresner Advisory Services today published the 2017 Data Catalog Market Study, the newest report in the Wisdom of Crowds® series of research. Data catalog technologies focus upon the user requirements to locate and leverage metadata, data, models, and data elements within an organization. Data catalog features include […]
Read More →Salesforce Launches Einstein Analytics: Advanced Analytics Powered By AI
by Angela Guess A recent press release reports, “Salesforce, the global leader in CRM, today launched Salesforce Einstein Analytics, delivering advanced analytics for millions of CRM users. Einstein Analytics adds a layer of artificial intelligence to the entire analytics workflow, automatically surfacing CRM insights and recommending actions to accelerate sales, improve customer service and optimize […]
Read More →BlueData Introduces EPIC 3.0 for Large-Scale Deployments of Big Data Analytics
by Angela Guess According to a new press release, “BlueData®, provider of the leading Big-Data-as-a-Service (BDaaS) software platform, today announced BlueData EPIC™ version 3.0. This major new release provides increased scalability, enhanced networking, significant security and performance optimizations, and new functionality for distributed data science operations. With BlueData EPIC 3.0, enterprises can quickly and easily […]
Read More →Alteryx Acquires Yhat to Accelerate Data Science Model Deployment
by Angela Guess According to a recent press release, “Alteryx, Inc., a leader in self-service data analytics, today announced it has acquired Yhat, Inc., a data science software company headquartered in Brooklyn, New York. Yhat specializes in providing data scientists and analysts with self-service data science tools for developing, managing and deploying machine learning models […]
Read More →Databricks Unveils Serverless Platform for Apache Spark
by Angela Guess According to a recent press release, “Databricks, the company founded by the creators of the popular Apache Spark project, today announced a new offering that radically simplifies the management of Apache Spark workloads in the cloud. Databricks Serverless, the first fully managed computing platform for Apache Spark, allows teams to share a […]
Read More →The Value of Machine Learning: Benefits and Best Practices
Machine Learning (ML) is a specialized sub-field of Artificial Intelligence (AI) where algorithms can learn and improve themselves by studying high volumes of available data. In this field, traditional programming rules do not operate; very high volumes of data alone can teach the algorithms to create better computing models. Given the unique attributes of Machine […]
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