Data Management explained

Data is the information that drives business. It can be structured in rows and columns, like a customer name, address, and phone; and it can be unstructured, such as an email or a social media post. Structured data is what is populated in Relational Database Management Systems such as those created by Oracle, IBM and Microsoft, and open-source PostgreSQL and MySQL, among others. That data can be accessed using the standard Structured Query Language (SQL). Unstructured data resides in what are called NoSQL databases, such as Cassandra, Couchbase, MongoDB and many, many others. Many organizations today run both kinds of databases.

Once the data is stored, it must be easily retrievable, found amid the mountains of data organizations collect, and made available at scale. Numerous tools exist for those jobs, including Hadoop, Apache Spark and many more. It is through the collection and analysis of data that businesses can make decisions that affect their bottom line.

SD Times Open-Source Project of the Week: Scylla

With data having an impact on almost every part of today’s business, Scylla wants to make sure applications are powered by a database that can handle the influx of data without compromising performance. Scylla is a NoSQL database that provides low latency, always-on availability, high throughput, is scalable, easy to use, and community-backed. “Scylla is … continue reading

Unbounded analytics introduced in latest Instana EUM release

Application performance management company Instana launched a new version of its End User Monitoring (EUM) utility this week, introducing advanced filtering of trace and request data with its new unbounded analytics feature. According to the company, Instana EUM is part of the Instana APM service and is designed for site reliability engineers and developers to … continue reading

SD Times news digest: Progress’ DataDirect Autonomous REST Connector, MariaDB Platform X3, and FoundationDB’s Record Layer

Progress has announced the release of Progress DataDirect Autonomous REST Connector. The new solution enables teams to build connectors for applications quickly without needing to write custom code. According to Progress, the Data Direct Autonomous REST Connector allows developers to fully access data from SQL-based applications. The key benefits that the solution offers are broad … continue reading

Solid’s data decentralization vision will change the way we interact with applications

A few months ago, Tim Berners-Lee, the father of the World Wide Web, announced that he was heading up a new project to reshape the way we interact with the web. His new project, Solid, aims to put control over data back into the hands of users. The ecosystem of Solid is based on the … continue reading

Security continues to be a black cloud for businesses

The year would not be complete without a major security breach, and although there are a number to choose from throughout any given year, Marriott ended 2018 with a doozy. The company revealed at the end of November that there had been unauthorized access to its Starwood reservation database for more than four years. This … continue reading

SD Times Open-Source Project of the Week: flyio

Data company SocialCops’ solution for reading and writing data from cloud and local storage is now open-source. The project, flyio, provides an interface for interacting with data storage directly from R. Currently flyio supports AWS S3 and Google Cloud Storage, and can read or write tables, rasters, shapefiles, and R objects to a data source … continue reading

SD Times Open-Source Project of the Week: Trill

Earlier this week, Microsoft announced the open-source release of its streaming data analysis and query tool Trill, a single-node engine library that can be incorporated into .NET applications to process complex queries in real-time or offline data sets. In a blog post about the release, principal software engineer James Terwilliger explained that Trill has been … continue reading

The R programming language comes to Google Cloud Platform

In an effort to bring greater support for the R programming language on Google Cloud Platform, Google has announced the beta release of Spark jobs on Cloud Dataproc. The R language is most commonly used for data analysis tools and statistical apps. According to Google, the rise of cloud computing has opened up new opportunities … continue reading

The future of analytics: 6 predictions

Analytics have become an important part of the decision-making process for many companies in the past few decades, particularly with corporations using data assets as a core competency and point of origin. My work in the past few decades in the data and analysis field have brought forward six predicted trends to watch for in … continue reading

Apache Ignite 2.7 adds new integration with TensorFlow’s deep learning framework

Apache Ignite 2.7 is adding new deep learning and extended languages support with the announcement of its TensorFlow integration and support for Node.js, Python and PHP. Ignite is a distributed database, caching and processing platform for transactional, analytical and streaming workloads. TensorFlow is an open-source software library for deep learning and machine learning tasks. The … continue reading

MongoDB unveils native data visualization tool

In an effort to remove the technical barriers to data visualization, MongoDB has announced the beta release of MongoDB Charts, a native data visualization tool. MongoDB Charts will be apart of MongoDB Atlas, the company’s database-as-a-service. According to the company, MongoDB Charts eliminates the need to worry about code, tools, data movement or data duplication … continue reading

SD Times news digest: Qualcomm’s AI fund, Google’s Fast Pair update, and Delphix Dynamic Data Platform

Qualcomm has announced a new AI Fund to invest in startups utilizing artificial intelligence. The company is committing up to $100 million to the fund. According to Qualcomm, the fund will be focused on “startups that share the vision of on-device AI becoming more powerful and widespread, with an emphasis on those developing new technology … continue reading

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