Follow Datanami:

Tag: streaming analytics

Kafka Gets Streaming SQL Engine, KSQL

Confluent today unveiled KSQL, a SQL engine for Apache Kafka designed to enable users to run continuous interactive SQL queries on streaming data. The new software, which is currently in developer preview, will lower the Read more…

Hortonworks Shifts Focus to Streaming Analytics

Hortonworks started life providing a Hadoop distribution that allowed customers to process big data at rest. But these days, the company has shifted its much of its attention and resources to streaming analytics, or proc Read more…

Confluent Moves Kafka to the Cloud

As adoption of the Apache Kafka accelerates, the company behind the data pipeline is rolling a cloud service designed to boost "developer velocity" while IT operations are handled in the background. Confluent said Mon Read more…

Four Ways to Visualize Big Streaming Data Now

Every day, the data deluge continues to grow.  From clickstreams and transaction logs to mobile apps and the IoT, big data threatens to overwhelm customers relying on traditional BI tools to analyze it. That's creating Read more…

Should Your Analytics Be ‘Real-Time’?

It’s widely acknowledged that the quicker an organization can collect, analyze and act on data the more of an advantage they will have in the marketplace. In fact, many organizations believe that the data they’re col Read more…

RISELab Replaces AMPLab with Secure, Real-Time Focus

UC Berkeley AMPLab will shut its doors in December after six years of delivering major technological innovations like Apache Spark, Apache Mesos, and Alluxio. Taking its place is the RISELab, which will focus its efforts Read more…

Databricks CEO on Streaming Analytics, Deep Learning, and SQL

As Apache Spark continues to gain steam, so too does Databricks, the company behind the popular distributed processing framework. At the recent Strata + Hadoop World conference, we caught up with Databricks CEO and co-fo Read more…

MemSQL Delivers an ‘Exactly Once’ Real-Time Pipeline

MemSQL today unveiled a new release of its in-memory relational database that can process a real-time flow of messages from Apache Kafka using "exactly once" semantics. The NewSQL database accomplished the feat by creati Read more…

The SQL Service at the Heart of Amazon Kinesis Analytics

Amazon Web Services gave real-time application developers a boost last week when it unveiled Amazon Kinesis Analytics, a new service for continuously querying streaming data using good old SQL. The service hooks into the Read more…

Life Sciences Cultivate Streaming Analytics

Transatlantic partners are applying machine-learning algorithms to a financial HPC platform to develop predictive models for studying crop growth patterns and agriculture practices. The partners said the models would inc Read more…

Investments in Fast Data Analytics Surge

Companies are quickly ramping up their investments fast data analytics and real-time stream processing frameworks and lowering spending on batch technologies in an attempt to get on top of growing data volumes and veloci Read more…

Merging Batch and Stream Processing in a Post Lambda World

It wasn't long ago that developers looked to the Lamba architecture for hints on how to design big data applications that needed elements of both batch and streaming data. But already, the Lamba architecture is falling o Read more…

Kafka Creators Tackle Consistency Problem in Data Pipelines

One of the big questions surrounding the rise of real-time stream processing applications is consistency. When you have a distributed application involving thousands of data sources and data consumers, how can you be sur Read more…

Apache Flink Creators Get $6M to Simplify Stream Processing

Real-time stream processing is one of the hottest topics this week at Strata + Hadoop World, and one of the new frameworks turning heads is Apache Flink. Developed by the German company data Artisans, Flink is unique in Read more…

Transactional Streaming? You Need State

The distinction between traditional operational systems and event/stream processing has begun to blur. Stream-oriented approaches offer novel ways to build applications that yesterday would have used a more traditional s Read more…

Streaming Architecture–Why Flow Instead of State?

The way that computing is done is changing dramatically.  Instead of a program with a finite input, we now have programs with infinite streams as inputs. Why does this matter, and why is the change happening now? Thi Read more…

What’s Driving the Rise of Real-Time Analytics

Hadoop gave us a taste of the types of insights big data analytics can deliver, and provided a competitive advantage to early adopters. But as data volumes grow, as the time-to-insight window shrinks, and as technology c Read more…

Cast Your Models Into Data Streams and Take Advantage of the IoT

Using data in real-time used to be a challenge. Lengthy extraction, transformation and loading processes make analyzing data an activity more akin to glancing in a rearview window than reading road signs as you pass. And Read more…

Hortonworks Boosts Streaming Analytics, IoT Plays with NiFi Deal

Hortonworks today announced a definitive agreement to acquire Onyara, the company behind the data routing and streaming technology called Apache NiFi. The Hadoop heavy also announced NiFi will be the basis for its second Read more…

Yahoo Casts Real-Time OLAP Queries with Druid

Yahoo is in the process of implementing a big data tool called Druid to power high-speed real-time queries against its massive Hadoop-based data lake. Engineers at the Web giant say the open source database's combination Read more…

Datanami