Big Data and Analytics News & Reviews
More Big Data and Analytics News
Enterprises all over the map are planning--or already selling--products that fit into this burgeoning market. Let’s chat about how this will impact your company in 2018.
New integrations allow Visual Studio Code users to manage and explore the data stored in their Azure Data Lake accounts.
The largest transaction in the year was Digital Realty’s $7.6 billion acquisition of DuPont Fabros, but there were four other deals that were valued at $1 billion or more.
Startup claims that it can make predictive analytics usable in real-time operational applications at big-data scale.
In doing this series, we’re reflecting the knowledge and depth of field that our readers have in sectors all over the IT business. These are your stories, not ours.
The IT consumer experience is becoming a big, "friendly" business. You will "friend" companies online and talk to them as though they are your personal acquaintences.
Microsoft's big data customers can now use Apache Kafka to help power their IoT applications and other workloads that involve massive data streams.
In addition to the technical attributes of a photo, Google's Neural Image Assessment model can predict if humans will likely find an image aesthetically pleasing.
Amazon's AWS Lambda is the biggest and best-known example of serverless computing, whose days ahead are enticing to more than a few IT managers.
As the internet gets increasingly more fragile, automation--as it is in most other IT categories--becomes a big factor in making it run more efficiently. Cisco Systems will be deploying its new intent-based networking (IBN) approach.
The most important big data trend in 2018 will involve greater integration with artificial intelligence (AI), data science and machine learning, but metadata management and global data fabrics will also play a key role.
Experts believe we might see things like machine-learning-assisted storage and de-archiving becoming commonplace during the coming calendar year.
The same machine learning technology powering many of Google's apps and services finds a new use helping astrophysicists find new planets orbiting distant stars.