Tag: data types

Feed: All - O'Reilly Media. Author: Jay Kreps. Hopscotch (source: Pixabay) To learn more about cutting-edge data science tools like Apache Kafka, check out the Strata Data Conference in Singapore, Dec. 4-7, 2017—early price ends October 20. Machine learning has become mainstream, and suddenly businesses everywhere are looking to build systems that use it to optimize aspects of their product, processes or customer experience. The cartoon version of machine learning sounds quite easy: you feed in training data made up of examples of good and bad outcomes, and the computer automatically learns from these and spits out a model that ... Read More

Feed: All - O'Reilly Media. Author: Aditya Parameswaran. Gears (source: Pixabay) Check out “How Pirelli built a data science team from scratch,” a case study available on Safari, to learn more about how data science can enable business transformation. As practitioners who build data science tools, we seem to have a rather myopic obsession with the challenges faced by the Googles, Amazons, and Facebooks of the world—companies with massive and mature data analytics ecosystems, supported by experienced systems engineers, and used by data scientists who are capable programmers. However, these companies represent a tiny fraction of the “big data” universe ... Read More

Feed: MariaDB Knowledge Base Article Feed. Author: . From MariaDB 10.3, setting the sql_mode system variable to Oracle causes the server to understand a subset of Oracle's PL/SQL language instead of the traditional MariaDB syntax for stored routines. This work is in progress. See MDEV-10142 and MDEV-10764 for the current status and subtasks. Providing compatibility for basic PL/SQL constructs - MDEV-10411 %TYPE in variable declarations - MDEV-10577 cursor%ROWTYPE in variable declarations - MDEV-12011 table%ROWTYPE in variable declarations - MDEV-12133 FOR loop statement - MDEV-10580 Implicit cursor FOR loop - MDEV-12098 Explicit cursor FOR LOOP - MDEV-10581 Cursors with parameters - ... Read More

Feed: James Serra's Blog. Author: James Serra. There were so many good presentations at Microsoft Ignite, all of which can be viewed on-demand.  I wanted to list the big data related presentations that I found the most useful.  It’s a lot of stuff to watch and with our busy schedules can be quite challenging to view them all.  What I do is set aside 40 minutes every day to watch half a session (they are 75 minutes).  If may take a few weeks, but if you consistently watch you will be rewarded by a much better understanding of all the ... Read More

Feed: Planet MySQL; Author: Sheeri K. Cabral; Notes/errata/updates for Chapter 6:See the official book errata at http://tahaghoghi.com/LearningMySQL/errata.php – Chapter 6 includes pages 179 – 222. Other notes:At the end of the “Creating Tables” section (p.183-4), it says “We like using the underscore character to separate words, but that’s just a matter of style and taste; you could use underscores or dashes, or omit the word-separating formatting altogether.” While this is true, beware of using a dash, because MySQL will try to interpret “two-words”, thinking – is a minus sign. I recommend avoiding dashes for this reason (even though the book ... Read More

Feed: IDERA Community Blog; Author: Peter V.; IDERA released a new free tool, SQL Data Profiler, designed to provide quick visibility into data patterns contained in SQL Server databases. Its intuitive user interface simplifies exploring patterns in data by streamlining and automating the process. Quickly view a summary of the data in selected database tables and columns, and receive recommendations based on the data in the columns.With the free tool, profile data in tables (optionally by subsets of data types), adjust profiling thresholds to customize the analysis, display a summary of data in a selected table and its columns, receive ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: doreen-dunn; Transcript Making Data Simple: Episode 4 Transcript Update: Will machines take our jobs? Al Martin:  Hey, guys, welcome back to the series — Making Data Simple.  This is Al Martin here.  I'm the lucky guy that gets to host this.  Today's topic is going to be, Machine Learning and we'll probably dive down into Machine Learning Hub.  Most of you that are listening probably know what machine learning is but my simple definition — and I will let my guests that I introduce in just a moment — give a better definition.  But ... Read More

Feed: O'Reilly Media, Inc. Upcoming Titles. Author: O'Reilly Media, Inc.. Classroom-tested by tens of thousands of students, this new edition of the bestselling intro to programming book is for anyone who wants to understand computer science. Learn about design, algorithms, testing, and debugging. Discover the fundamentals of programming with Python 3.6--a language that's used in millions of devices. Write programs to solve real-world problems, and come away with everything you need to produce quality code. This edition has been updated to use the new language features in Python 3.6.No programming experience required! Incremental examples show you the steps and missteps ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: michael-lock; This is the third in a three-part blog series exploring a best-in-class approach to MDM. Read part 1 and part 2 in the series.Over the past few years, two major trends have overtaken the world of analytics and data-driven decision-making. The first trend is that an ever-increasing breadth and diversity of users have become curious about the power of data analytics to inform their most critical decisions. From the least technically inclined executive to the most sophisticated data scientist, more users want to be connected to data. In ... Read More

Feed: Cloud – Cloudera Engineering Blog. Author: Cy Jervis. Today, we’re really excited to announce the latest innovation from Cloudera and Informatica’s partnership. Companies are increasingly moving their data operations into the cloud. With both companies focusing on helping customers derive business insights out of vast amounts of data, our new joint offering will dramatically simplify leveraging cloud-native infrastructures for big data analytics. Last May, Cloudera announced Cloudera Altus, a new platform-as-a-service (PaaS) offering in the cloud for big data analytics, backed by the enterprise-grade Cloudera platform. Today, we’re pleased to announce a collaborative integration between Informatica Big Data Management ... Read More