Tuesday, May 17, 2016

Solving Ad Hoc Query Challenges for Big Data

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Solving Ad Hoc Query Challenges for Big Data
 
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Solving Ad Hoc Query Challenges for Big Data
May 17
2016
Solving Ad Hoc Query Challenges for Big Data
Solving Ad Hoc Query Challenges for Big Data
Solving Ad Hoc Query Challenges for Big Data
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Solving Ad Hoc Query Challenges for Big Data

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In This Issue...
Solving Ad Hoc Query Challenges for Big Data
NEWS FLASHES
Solving Ad Hoc Query Challenges with Apache Drill
Solving Ad Hoc Query Challenges for Big Data
Learning How to Get Started with Big Data Analytics Using the Hadoop Ecosystem
Solving Ad Hoc Query Challenges for Big Data
Tackling Governance During the Data Discovery Process
Solving Ad Hoc Query Challenges for Big Data
Cross-Fire Panel Discussion at Data Summit 2016 Debates the Implications of IoT
Solving Ad Hoc Query Challenges for Big Data
10 Lessons Learned from 10 Years of Cloud Services
Solving Ad Hoc Query Challenges for Big Data
Doubling Developer Productivity With Virtual Data
Solving Ad Hoc Query Challenges for Big Data
IDERA Adds Free Tool Called SQL BI Check to Product Portfolio
Solving Ad Hoc Query Challenges for Big Data
BI Platform Provider AtScale Raises Series B Funding Round
Solving Ad Hoc Query Challenges for Big Data
 
THINK ABOUT IT
IBM Opens Quantum Computing to the Public
Solving Ad Hoc Query Challenges for Big Data
 
News Flashes
Solving Ad Hoc Query Challenges with Apache Drill
Despite the increasing focus on offering more access to more users in organizations, ad hoc querying of big data remains a problem for most, according to Jair Aguirre, lead data scientist at Booz Allen Hamilton, who presented a session at Data Summit 2016 titled “De-Siloing Data Using Apache Drill.” Many studies have shown that data scientists spend 50–90% of their time gathering and preparing data, he noted.

Full Article 
Solving Ad Hoc Query Challenges for Big Data
Learning How to Get Started with Big Data Analytics Using the Hadoop Ecosystem
At the center of the new big data movement is the Hadoop framework, which provides an efficient file system and related ecosystem of solutions to store and analyze big datasets. The Hadoop ecosystem was addressed from two points of view in a session at Data Summit 2016. James Casaletto, principal solutions architect, Professional Services at MapR, presented a talk titled "Harnessing the Hadoop Ecosystem," and Tassos Sarbanes, mathematician / data scientist, Investment Banking at Credit Suisse, covered the advantages of HBase in a talk titled "HBase Data Model - The Ultimate Model on Hadoop."

Full Article 
Solving Ad Hoc Query Challenges for Big Data
Tackling Governance During the Data Discovery Process
Ensuring data is governed properly is a hot topic as more tools and capabilities to analyze and gain insights become available. At the same time, data discovery is becoming more imperative as analysts must be able to move through the process with as little friction as possible. John O’Brien, principal analyst and CEO at Radiant Advisors, discussed how to effectively secure data during the data discovery process at Data Summit 2016.

Full Article 
Solving Ad Hoc Query Challenges for Big Data
Cross-Fire Panel Discussion at Data Summit 2016 Debates the Implications of IoT
What's ahead for the Internet of Things as far as data privacy, standards for interoperability, and meaningful use cases? John O'Brien, principal advisor of Radiant Advisors; Joe Caserta, president and CEO of Caserta Concepts; and George Corugedo, CTO of RedPoint Global, addressed those questions in a cross-fire panel discussion at Data Summit 2016.

Full Article 
Solving Ad Hoc Query Challenges for Big Data
10 Lessons Learned from 10 Years of Cloud Services
Public cloud services vendors have had a number of notable outages that have taken down well-respected web-based companies, temporarily putting them out of business. In a session, presented at Data Summit 2016, Michael J Corey, president, Ntirety - A HOSTING Company, and Don Sullivan, system engineer database specialist, VMware, suggested that, despite the fact that public cloud is no longer a cutting-edge, disruptive technology, in many ways, it is still the Wild West. They outlined what to watch out for in their session.

Full Article 
Solving Ad Hoc Query Challenges for Big Data
Doubling Developer Productivity With Virtual Data
Creating, distributing, and managing test data has become a bottleneck in the increasingly fast world of agile and DevOps. One way to manage test data management is with virtual data, according to Kyle Hailey, technical evangelist at Delphix, who presented a session at Data Summit titled, "Double Developer Productivity With Virtual Data."

Full Article 
Solving Ad Hoc Query Challenges for Big Data
IDERA Adds Free Tool Called SQL BI Check to Product Portfolio
Bringing another tool to its product portfolio, IDERA has released SQL BI Check, which provides a no-cost option for real-time performance monitoring of SQL Server Analysis Services (SSAS). According to the vendor, SQL BI Check is particularly effective for data professionals tasked with overseeing SSAS processes in addition to SQL Server deployments when they have no tools or little budget to manage the SQL BI services layer. It allows users to see the 16 most important SSAS metrics, providing a picture of their analysis services. 

Full Article 
Solving Ad Hoc Query Challenges for Big Data
BI Platform Provider AtScale Raises Series B Funding Round
AtScale, Inc., which provides a self-service BI platform for Hadoop, has raised a Series B round of $11 million, bringing its total funding to date to $20 million. According to Bruno Aziza, chief marketing officer of AtScale, its platform is different from others in three key ways, making it applicable to use cases in an array of industries including healthcare, telecommunications, retail, and financial services.

Full Article 
Solving Ad Hoc Query Challenges for Big Data
 
Think About It
IBM Opens Quantum Computing to the Public
IBM Research has announced that, for the first time ever, it is making quantum computing available to members of the public, who can access and run experiments on IBM’s quantum processor via the cloud.

IBM scientists have built a quantum processor that users can access through a first-of-a-kind quantum computing platform delivered via the IBM Cloud onto any desktop or mobile device. IBM believes quantum computing is the future of computing and has the potential to solve certain problems that are impossible to solve on today’s supercomputers.

The cloud-enabled quantum computing platform, called IBM Quantum Experience, will allow users to run algorithms and experiments on IBM’s quantum processor, work with the individual quantum bits (qubits), and explore tutorials and simulations around what might be possible with quantum computing.

Full Article 
Solving Ad Hoc Query Challenges for Big Data


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