Notes about Cutting-Edge Technologies and Everything

Once an outsider category, cloud computing now powers every industry. Look no further than this year’s Forbes Cloud 100 list, the annual ranking of the world’s top private cloud companies, where this year's standouts are keeping businesses surviving—and thriving—from real estate to retail, data to design. Produced for the fifth consecutive year in partnership with Bessemer Venture Partners and Salesforce Ventures, the Cloud 100 recognizes standouts in tech’s hottest category from small startups to private-equity-backed giants, from Silicon Valley to Australia and Hong Kong. The companies on the list are selected for their growth, sales, valuation and culture, as well as a reputation score derived in consultation with 43 CEO judges and executives from their public-cloud-company peers. This year’s new No. 1 has set a record for shortest time running atop the list. Database leader Snowflake takes the top slot, up from No. 2 last year and just hours before graduating from the list by g...

Key Takeaways Talend, Denodo Technologies, Oracle, IBM, And Paxata Lead The Pack Forrester's research uncovered a market in which Talend, Denodo Technologies, Oracle, IBM, and Paxata are Leaders; Hortonworks, Cambridge Semantics, SAP, Trifacta, Cloudera, and Syncsort are Strong Performers; and Podium Data, TIBCO Software, Informatica, and Hitachi Vantara are Contenders. EA Pros Are Looking To Support Multiple Use Cases With Big Data Fabric The big data fabric market is growing because more EA pros see big data fabric as critical for their enterprise big data strategy. Scale, Performance, AI/Machine Learning, And Use-Case Support Are Key Differentiators The Leaders we identified support a broader set of use cases, enhanced AI and machine learning capabilities, and offer good scalability features. ...

Data preparation — the most time-consuming task in analytics and BI — is evolving from a self-service activity to an enterprise imperative. We profile 28 data preparation tools for data and analytics leaders to consider to accelerate agile data preparation for a range of distributed content authors. Overview Key Findings The market for data preparation has now evolved from tools supporting only self-service use cases into platforms that enable data and analytics teams to build agile and searchable datasets at an enterprise scale for distributed content authors. Most vendor offerings support data profiling, data exploration, transformation, modeling and curation, and metadata support. More than 80% of the vendors surveyed embed some data cataloging features and offer varying degrees of machine-learning capabilities. The market is crowded with a range of choices, from stand-alone specialists to vendors that embed data preparation as a capability into analyti...