| How to use Cython and its Python-to-C compiler to give your Python applications a rocket boost Read More ▶ | | | | | White Paper: Qubole Inc The cloud and big data are really a perfect match as the dynamic scalability and affordability of the cloud match well with the massive scale and "bursty" nature of resources that are required for big data analytics. Whether you are just evaluating cloud big data platforms or already running big data in the cloud - this guide is for you. Read More ▶ | | MongoDB 4.0 will be released in summer 2018 but is in public beta now Read More ▶ | | | Udash compiles code to JavaScript and can work with JavaScript libraries such as Bootstrap and jQuery Read More ▶ | | | The JavaScript-centered beta stack from Neo4j uses a strict schema for the API, driving the database model, and translating GraphQL queries Read More ▶ | | | | | White Paper: Qubole Inc What distinguishes a data lake from a data warehouse? Do you need to choose or do you need both? What are current best practices for setting up the relationship between a data warehouse and a data lake? We answer these questions and more, and explain why augmenting your existing data warehouse with a data lake is the best path to take given the current state of maturity of the various technologies. Read More ▶ | | | |
