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    Enterprise Information Management in Practice



    Enterprise Information Management in Practice

    Saumya Chaki, "Enterprise Information Management in Practice: Managing Data and Leveraging Profits in Today's Complex Business Environment"
    English | ISBN: 1484212193 | 2016 | EPUB | 197 pages | 3,8 MB
    Learn how to form and execute an enterprise information strategy: topics include data governance strategy, data architecture strategy, information security strategy, big data strategy, and cloud strategy. Manage information like a pro, to achieve much better financial results for the enterprise, more efficient processes, and multiple advantages over competitors.

    As you'll discover in , EIM deals with both structured data (e.g. sales data and customer data) as well as unstructured data (like customer satisfaction forms, emails, documents, social network sentiments, and so forth). With the deluge of information that enterprises face given their global operations and complex business models, as well as the advent of big data technology, it is not surprising that making sense of the large piles of data is of paramount importance. Enterprises must therefore put much greater emphasis on managing and monetizing both structured and unstructured data.

    As Saumya Chaki―an information management expert and consultant with IBM―explains in , it is now more important than ever before to have an enterprise information strategy that covers the entire life cycle of information and its consumption while providing security controls.

    With Fortune 100 consultant Saumya Chaki as your guide, covers each of these and the other pillars of EIM in depth, which provide readers with a comprehensive view of the building blocks for EIM.

    Enterprises today deal with complex business environments where information demands take place in real time, are complex, and often serve as the differentiator among competitors. The effective management of information is thus crucial in managing enterprises. EIM has evolved as a specialized discipline in the business intelligence and enterprise data warehousing space to address the complex needs of information processing and delivery―and to ensure the enterprise is making the most of its information assets.


    SQL in 24 Hours Sams Teach Yourself



    SQL in 24 Hours Sams Teach Yourself

    [b]SQL in 24 Hours, Sams Teach Yourself by Ryan Stephens[/b]
    English | 18 Dec. 2015 | ISBN: 0672337592 | 464 Pages | AZW3/EPUB/PDF (conv) | 54 MB

    In just 24 lessons of one hour or less, Sams Teach Yourself SQL in 24 Hours, Sixth Edition, helps you use SQL to build effective databases, efficiently retrieve data, and manage everything from performance to security.

    This book's straightforward, step-by-step approach shows you how to work with database structures, objects, queries, tables, and more. In just hours, you will be applying advanced techniques, including views, transactions, web connections, and powerful Oracle and SQL Server extensions. Every lesson builds on what you've already learned, giving you a rock-solid foundation for real-world success.

    Step-by-step instructions carefully walk you through the most common SQL tasks.
    Practical, hands-on examples show you how to apply what you learn.
    Quizzes and exercises help you test your knowledge and stretch your skills.
    Notes and tips point out shortcuts and solutions.

    Learn how to...
    Define efficient database structures and objects
    "Normalize" raw databases into logically organized tables
    Edit relational data and tables with DML
    Manage transactions
    Write effective, well-performing queries
    Categorize, summarize, sort, group, and restructure data
    Work with dates and times
    Join tables in queries, use subqueries, and combine multiple queries
    Master powerful query optimization techniques
    Administer databases and manage users
    Secure databases and protect data
    Use views, synonyms, and the system catalog
    Extend SQL to the enterprise and Internet
    Master important Oracle and Microsoft extensions to ANSI SQL
    [center][b]


    MySQL for Python



    MySQL for Python

    MySQL for Python By Albert Lukaszewski
    Publisher: Packt Publishing | 2010 | ISBN: 1849510180 | 440 pages | PDF | 11 MB

    Integrate the flexibility of Python and the power of MySQL to boost the productivity of your Python applications
    Implement the outstanding features of Python's MySQL library to their full potential
    See how to make MySQL take the processing burden from your programs
    Learn how to employ Python with MySQL to power your websites and desktop applications
    Apply your knowledge of MySQL and Python to real-world problems instead of hypothetical scenarios
    A manual packed with step-by-step exercises to integrate your Python applications with the MySQL database server

    In Detail
    Python is a dynamic programming language, which is completely enterprise ready, owing largely to the variety of support modules that are available to extend its capabilities. In order to build productive and feature-rich Python applications, we need to use MySQL for Python, a module that provides database support to our applications. Although you might be familiar with accessing data in MySQL, here you will learn how to access data through MySQL for Python efficiently and effectively.
    This book demonstrates how to boost the productivity of your Python applications by integrating them with the MySQL database server, the world's most powerful open source database. It will teach you to access the data on your MySQL database server easily with Python's library for MySQL using a practical, hands-on approach. Leaving theory to the classroom, this book uses real-world code to solve real-world problems with real-world solutions.
    The book starts by exploring the various means of installing MySQL for Python on different platforms and how to use simple database querying techniques to improve your programs. It then takes you through data insertion, data retrieval, and error-handling techniques to create robust programs. The book also covers automation of both database and user creation, and administration of access controls. As the book progresses, you will learn to use many more advanced features of Python for MySQL that facilitate effective administration of your database through Python. Every chapter is illustrated with a project that you can deploy in your own situation.
    By the end of this book, you will know several techniques for interfacing your Python applications with MySQL effectively so that powerful database management through Python becomes easy to achieve and easy to maintain.
    A practical manual packed with step-by-step examples to manage your MySQL database efficiently through Python

    What you will learn from this book
    Explore the various means to install MySQL for Python, from using an egg to unrolling a tarball
    Query the database and retrieve records through MySQL for Python
    Implement insertion of data into a MySQL database in Python
    Carry out error-handling in MySQL for Python in order to ensure the robustness of programs
    Use secure logging techniques to record how your users use your programs
    Carry out record-by-record retrieval to save a lot of overhead while retrieving data
    Handle insertion of large amounts of data using iteration and the executemany function
    Automate the creation and removal of databases and tables using MySQL for Python
    Use the MySQL for Python library to automate user creation and to administer access controls
    Log user activity with MySQL for Python by using MySQL's date and time support
    See how to revise database programs to include more functionality
    Use aggregate functions to make MySQL take the burden off your web server
    Save time and processing resources by scripting JOINs and subqueries
    [center]


Maya 2018 Essential Training with George Maestri (updated Nov
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Cakewalk SONAR Platinum 23.9.0.31 Multilingual
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