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Top 10 Trends for Data Storage with Big Data Analytics

For some years now, data storage vendors have been incorporating big data and analytics tools such as Hadoop into their products. However, the performance requirements of these applications have sometimes proven hard to align with a prodigious need for raw capacity. The typical approach has been to provide an architecture that spans several storage products in order to provide both the performance needed as well as the capacity that these workloads require at a reasonable cost.
“This usually results in a lot of complexity — multiple consoles and systems, for example — as well as high operating costs,” said Laz Vekiarides, chief technology officer of ClearSky Data.
But that is changing. A new generation of storage tools seek to add more analytics and deal better with big data. Here are some of the top trends.

September 28th, 2017|News|0 Comments

SAP wants to embrace all your data stores with Data Hub

SAP aims to leave your data where it finds it, centralizing only the processing, not the storage

September 25th, 2017|News|0 Comments

Hitachi launches Vantara, aims to target IoT, data center, cloud, analytics

Hitachi is creating a separate company to focus on big data and technology infrastructure in a bid to grab digital transformation business.
The entity, called Hitachi Vantara, unifies a series of enterprise units including:

Hitachi Data Systems;
Hitachi Insight Group;
And Pentaho.

September 19th, 2017|News|0 Comments

Microsoft Power BI Gets More Interactive with Drillthrough Pages

The new drillthrough filtering options in Power BI allows data explorers to gather new insights with just a click.

September 11th, 2017|News|0 Comments

Why streaming data is the future of big data, and Apache Kafka is leading the charge

Not all data is fit to be streamed. Not yet, anyway. But one big data exec argues that the universe just keeps expanding for streaming data.

August 23rd, 2017|News|0 Comments

Tableau Acquires Natural Language Query Startup ClearGraph

Acquisition accelerates plans to add natural language into Tableau platform, helping more people interact with data naturally

August 9th, 2017|News|0 Comments

Microsoft links Dynamics 365, Power BI for deeper customer insights

A new Power BI connector enables users to visualize and explore customer data in new, potentially more informative ways.

August 7th, 2017|News|0 Comments

75 Big Data Terms everyone should know

This article is a continuation of my first article, 25 Big Data terms everyone should know. Since it got such an overwhelmingly positive response, I decided to add an extra 50 terms to the list.  Just to give you a quick recap, I covered the following terms in my first article: Algorithm, Analytics, Descriptive analytics, Prescriptive analytics, Predictive analytics, Batch processing, Cassandra, Cloud computing, Cluster computing, Dark Data, Data Lake, Data mining, Data Scientist, Distributed file system, ETL, Hadoop, In-memory computing, IOT, Machine learning, Mapreduce, NoSQL, R, Spark, Stream processing, Structured Vs. Unstructured Data.

Now let’s get on with 50 more big data terms.

July 21st, 2017|News|0 Comments

The 7 best Data Visualization Tools in 2017

Big Data and the ever-growing access we have to more information is the driving force behind artificial intelligence and the wave of technological change sweeping across all industries.
But all the data in the world is useless – in fact it can become a liability – if you can’t understand it. Data visualization is about how to present your data, to the right people, at the right time, in order to enable them to gain insights most effectively.

July 20th, 2017|News|0 Comments

Open Source is the new normal in Data and Analytics

You hear a lot these days about how the growing deluge of digital data is changing the nature of how nearly every business operates fundamentally.
I’ve argued for a while now that we’re at or near a data tipping point beyond which lies a new world where companies analyze many fundamentally new types of data in real-time and use it to make business decisions that were previously impossible.

July 11th, 2017|News|0 Comments