Big Data

As Big Data Management Becomes a Priority, IIoT Becomes a Must

Grazed from EdgyLabs. Author: Stephanie D'Adamo

Take just a moment to consider how many of the devices you interact with on a daily basis are connected to the internet (your phone, the gas station pump, ATMs, computers, jet engines…the list goes on). In fact, the analyst firm Gartner estimates that by 2020, there will be over 26 billion connected devices.

With all that data, efficient big data management will have to be developed. The Internet of Things (IoT) allows consumers to access a seemingly unending number of devices. But, in reality, IoT objects cannot truly be separated from the industry that produces them. In 2017, this Industrial Internet of Things (IIoT) seems to have finally captured the attention of industry and market leaders...

Read more from the source @ https://edgylabs.com/2017/05/23/big-data-management-iiot/

Wipro Builds Industry-Focused Big Data Analytics-as-a-Service Platform on IBM Bluemix

Grazed from Wipro Limited

Wipro Limited, a leading global information technology, consulting and business process services company, today announced it is delivering analytics-based insights for specific industries with the Data Discovery Platform, its newest big data analytics-as-a-service solution. Built with IBM BigInsights and IBM dashDB and developed on Bluemix, IBM's cloud platform, the solution accelerates insight-driven decision making through pre-built applications for specific industries, such as banking and financial services, retail, energy, education and manufacturing.

In many organizations, internal and external data exist in silos across the company, making it difficult and expensive to collect and analyze. The Data Discovery Platform helps businesses unlock the true value of their structured and unstructured data to deliver insights customized to the customer's industry sector.

Wipro and IBM developers collaborated on the solution which is available in an outcome-based ‘pay-per-insight' cloud delivery model. It has been customized for a number of specific industries and their associated overall processes, including:

CSC Advances Industrial Machine Learning to Help Businesses Make Better Decisions Using Enterprise-Wide Data Insights

Grazed from CSC

CSC today announced the expansion of its strategic alliance with Microsoft through the advancement of Industrial Machine Learning (IML) solutions that enable data scientists to produce new data-derived enterprise insights, leading to better and more timely business decisions.

Most large, data-rich companies fail to benefit from information on an enterprise-wide scale because they are not equipped to effectively capture and analyze available data sources. A recent survey from PwC and Iron Mountain found that 57 percent of businesses are unable to extract significant value from their information, and 23 percent are unable to derive any real value at all. Regardless of size, geography or sector, businesses are struggling to fully realize value from their information.

BlueData Delivers Ultimate Flexibility and Choice for Big Data Deployments on Amazon Web Services

Grazed from BlueData

BlueData, provider of the leading Big-Data-as-a-Service (BDaaS) software platform, today announced the general availability of its BlueData EPIC software on Amazon Web Services (AWS). BlueData EPIC on AWS delivers ultimate flexibility and choice for Big Data environments, enterprise-class security and cost controls for multi-tenant deployments, as well as the ability to tap into both Amazon S3 and on-premises storage.

BlueData is the first and only BDaaS platform with support for both on-premises and cloud environments, leveraging embedded and fully-managed Docker containers for portability across any infrastructure. BlueData EPIC provides the same self-service user experience whether running in the public cloud or a corporate data center; and the same Docker-based application images for Hadoop, Spark, and other Big Data tools are portable across on-premises and cloud deployments. BlueData EPIC on AWS is generally available now -- with planned support for Google Cloud Platform, Microsoft Azure, and other public cloud services in the coming months.

How Retail IT can Address Challenges and Reach Big Data Potential This Shopping Season

Article Written by David Marshall

This year, the National Retail Federation projects that 137 million consumers will shop between Thanksgiving Day and Cyber Monday. Retailers have stocked their shelves and warehouses and are already weathering the traffic storm that comes with this time of year. 

While the profit potential of the holiday season is the upside for retailers, there are many IT challenges related to successfully managing this increase in traffic - ensuring networks stay up, servers can handle demand and data is protected should something go wrong. In store and online, Black Friday sales are dependent on a sound IT infrastructure. On the flip side, Black Friday and Cyber Monday present many opportunities for retailers to capitalize on the massive amount of data collected at this time. To stay on top in the market, it's crucial for retailers to understand and leverage data analytics tools this season. 

How is retail IT preparing for this all important weekend? Here are a few idea from some top industry experts:  

Redis Labs Leads a Discussion on Big Data Database Challenges at AWS re:Invent 2016

Grazed from Redis Labs

Redis Labs, the home of Redis, today announced that Redis Labs' chief marketing officer, Manish Gupta, will be hosting a fireside chat at the AWS re:Invent conference in Las Vegas on Thursday, Dec. 1st at 11:00am - noon at the Venetian, Level 1, Room Sands 102. The interactive discussion, "Solving Big Data Database Challenges with Redis," will include George Chiramattel Kunjachan, principal engineer at Intuit, Kyle Oppenheim, VP of engineering at Groupon, and Jacqueline Hufford-Jensen, senior manager, database administration at LifeLock.

With Internet Of Things And Big Data, 92% Of Everything We Do Will Be In The Cloud

Grazed from Forbes. Author: Joe McKendrick.

You don’t need Sherlock Holmes to tell you that cloud computing is on the rise, and that cloud traffic keeps going up. However, it is enlightening to see the degree by which it is increasing, which is, in essence, about to quadruple in the next few years. By that time, 92% percent of workloads will be processed by cloud data centers; versus only eight percent being processed by traditional data centers.

Cisco, which does a decent job of measuring such things, just released estimates that shows cloud traffic likely to rise 3.7-fold by 2020, increasing 3.9 zettabytes (ZB) per year in 2015 (the latest full year data for which data is available) to 14.1 ZB per year by 2020. The big data and associated Internet of Things are a big part of this growth, the study’s authors state...

BlueData Delivers Enterprise-Class Security and Networking for On-Premises Big-Data-as-a-Service With Docker Containers

Grazed from BlueData

BlueData, provider of the leading Big-Data-as-a-Service software platform, today announced the new fall release for the enterprise edition of its BlueData EPIC software. Delivered as a flexible platform, this new release builds on the EPIC summer release to add deeper security integrations for Big Data deployments in production. It also provides networking and storage enhancements for managing Docker containers used to create Hadoop and Spark clusters in EPIC.

This new version of the BlueData EPIC software platform helps enterprises transition in their Big Data journey from initial dev/test environments to full production deployments of Big-Data-as-a-Service (BDaaS). BlueData has implemented its EPIC software to meet enterprise customer demands for a wide variety of Big Data use cases, ranging from dev/test labs to mission-critical batch processing jobs and advanced analytics use cases.

Cloud Computing: Google and Amazon Vie for Big Inroad Into Wall Street Data Trove

Grazed from Bloomberg. Author: Benjamin Bain.

Trying to understand what causes flash crashes is no longer just for financial regulators and Wall Street. It’s a big deal in Silicon Valley too. Since billions of dollars were quickly erased from U.S. stocks in May 2010, the U.S. Securities and Exchange Commission has been trying to create a massive repository that would track stock and options trading from exchanges and broker-dealers on a daily basis.

That way regulators could quickly go back and find clues to what caused a market interruption. The lack of progress was highlighted last August when the Dow Jones Industrial Average dropped 1,100 points in the first few minutes of trading, sending regulators scrambling once again to figure out what went wrong...

Cloud Computing: How Amazon is disrupting a $34bn database market

Grazed from CloudTech. Author: Editorial Staff.

When Amazon launched Aurora in 2014, it was presented as a clear challenge to giants in the $34 billion database market. Today it is Amazon’s fastest-growing product and has already surpassed the growth of Amazon Redshift, which is saying something. Customers of the service are among Amazon’s largest and loudest advocates.

Since the start of 2016, roughly 7,000 databases have been migrated to AWS Aurora — and the rate of adoption has tripled since March 2016. Why is Aurora gaining popularity? As we have come to expect from Amazon, Aurora provides enterprises with the performance and reliability of a commercial product at a fraction of the cost of Oracle or IBM...