Adrian Tudor Web Designer and Programmer

Archive for the ‘Data Storage and Management’ Category

January 11th, 2018

Serverless computing with AWS Lambda, Part 1

No Comments, Data Storage and Management, Development Tools, Enterprise Architecture, Java App Dev, others, Programing, by admin.

Serverless computing may be the hottest thing in cloud computing today, but what, exactly, is it? This two-part tutorial starts with an overview of serverless computing–from what it is, to why it’s considered disruptive to traditional cloud computing, and how you might use it in Java-based programming.

Following the overview, you’ll get a hands-on introduction to AWS Lambda, which is considered by many the premiere Java-based solution for serverless computing today. In Part 1, you’ll use AWS Lambda to build, … Read the rest

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January 4th, 2018

CockroachDB review: A scale-out SQL database built for survival

No Comments, Cloud Computing, Data Storage and Management, Development Tools, Enterprise Java, IDG Insider, Java App Dev, others, Programing, by admin.

Until very recently, when you shopped for a database you had to choose: Scalability or consistency? SQL databases such as MySQL guarantee strong consistency, but don’t scale well horizontally. (Manual sharding for scalability is no one’s idea of fun.) NoSQL databases such as MongoDB scale beautifully, but offer only eventual consistency. (“Wait long enough, and you can read the right answer”—which isn’t any way to do financial transactions.)

Google Cloud Spanner, a fully managed relational database service running on … Read the rest

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December 7th, 2017

No, you shouldn’t keep all that data forever

No Comments, Big Data, Data Analytics, Data Storage and Management, others, Programing, by admin.

Modern ethos is that all data is valuable, should be stored forever, and that machine learning will one day magically find the value of it. You’ve probably seen that EMC picture about how there will be 44 zettabytes of data by 2020? Remember how everyone had Fitbits and Jawbone Ups for about a minute? Now Jawbone is out of business. Have you considered this “all data is valuable” fad might be the corporate equivalent? Maybe we shouldn’t take a … Read the rest

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December 7th, 2017

Why old-school PostgreSQL is so hip again

No Comments, Data Storage and Management, Development Tools, Enterprise Architecture, Java App Dev, Open Source, others, Programing, by admin.

PostgreSQL (aka Postgres) is old as dirt, yet over the past five years it has panned out as pure gold. MongoDB got the billion-dollar IPO and AWS launched the mind-bendingly cool Aurora Serverless, but it’s PostgreSQL that keeps having its moment—again and again and again.

Now the world’s fourth most popular database, according to DB-Engines’ multicomponent ranking, PostgreSQL has a ways to go before it surpasses Oracle, MySQL, and Microsoft SQL Server. Yet at its current pace, … Read the rest

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November 13th, 2017

What is Apache Spark? The big data analytics platform explained

No Comments, Big Data, Data Analytics, Data Storage and Management, Java App Dev, Open Source, others, Programing, by admin.

From its humble beginnings in the AMPLab at U.C. Berkeley in 2009, Apache Spark has become one of the key big data distributed processing frameworks in the world. Spark can be deployed in a variety of ways, provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning, and graph processing. You’ll find it used by banks, telecommunications companies, games companies, governments, and all of the major tech giants such as Apple, … Read the rest

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October 26th, 2017

Apache PredictionIO: Easier machine learning with Spark

No Comments, Data Storage and Management, Enterprise Java, Java App Dev, Libraries and Frameworks, others, Programing, by admin.

The Apache Foundation has added a new machine learning project to its roster, Apache PredictionIO, an open-sourced version of a project originally devised by a subsidiary of Salesforce.

What PredictionIO does for machine learning and Spark

Apache PredictionIO is built atop Spark and Hadoop, and serves Spark-powered predictions from data using customizable templates for common tasks. Apps send data to PredictionIO’s event server to train a model, then query the engine for predictions based on the model.

Spark, MLlib, … Read the rest

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September 21st, 2017

8 technologies transforming the database

No Comments, Cloud Computing, Data Storage and Management, Development Tools, Enterprise Architecture, IDG Insider, Java App Dev, others, Programing, by admin.

What is a database? Once upon a time, it was simple. The database was a modern Bob Cratchit putting data in tables made up of very straight columns filled with one row per entry. Long, endless rectangles of information stretching on into the future.

The relational database has been the bedrock of modern computing. The vast majority of websites are just a bunch of CSS lipstick painted on top of SQL. Everything that makes us special is just another row … Read the rest

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September 13th, 2017

NoSQL standouts: The best key-value databases

No Comments, Data Storage and Management, Development Tools, IDG Insider, Java App Dev, Open Source, others, Programing, by admin.

Most any application needs some form of persistence—a way to store the data outside of the application for safekeeping. The most basic way is to write data to the file system, but that can quickly become a slow and unwieldy way to solve the problem. A full-blown database provides a powerful way to index and retrieve data, but may also be overkill. Sometimes all you need is a quick way to take a freeform piece of information, associate it with … Read the rest

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August 28th, 2017

What is SQL? The language of databases

No Comments, Data Storage and Management, Development Tools, Enterprise Architecture, Java App Dev, Java Web Development, others, Programing, by admin.

Today, Structured Query Language is the standard means of manipulating and querying data in relational databases, though with proprietary extensions among the products. The ease and ubiquity of SQL have even led the creators of many “NoSQL” or non-relational data stores, such as Hadoop, to adopt subsets of SQL or come up with their own SQL-like query languages.

But SQL wasn’t always the “universal” language for relational databases. From the beginning (circa 1980), SQL had certain strikes … Read the rest

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August 7th, 2017

How to avoid big data analytics failures

No Comments, Big Data, Data Analytics, Data Storage and Management, IDG Insider, Java App Dev, others, Programing, by admin.

Big data and analytics initiatives can be game-changing, giving you insights to help blow past the competition, generate new revenue sources, and better serve customers.

Big data and analytics initiatives can also be colossal failures, resulting in lots of wasted money and time—not to mention the loss of talented technology professionals who become fed up at frustrating management blunders.

How can you avoid big data failures? Some of the best practices are the obvious ones from a basic business management … Read the rest

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