Big Data Analytics Training Online

✓Highly Experienced & RealTime Working Faculty ✓Hands-on training Classes
✓Instant & Friendly Support ✓Lifetime Free Access to all of your Class Recordings

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Big Data Analytics Training Online Details

Experienced Faculty

25-30 Hours approx

Competitional Fee

Instant – Friendly Support

Instructor Led Live Classes

Lifetime Video Access

Customised Topics

Practical Training

Realtime Scenarios

What our Customers are saying…

100% satisfaction guarantee, Check all reviews

Good training. I suggest everyone to take up the training in this institute. They offer courses at very low price compared to other online institutes. good support from trainer and recorded videos after every session are mailed to us for future reference. Thank You.

– Divya Teja

I have been trained here, it helped me a lot for my career, The staff here have excellent knowledge and very good teaching experience. Price are affordable and reasonable. They helped me in guiding me choosing right platform and job assistance. Thank you SVR

– Srinivasa Rao

It was really good experience with SVR Technologies, they are very supportive and expert on relative field.Excellent instructors and management team. Overall my experience with SVR was very good and I would definitely recommend SVR for online Training. Thank you.

– Linson Valappila

SVR team is great. They are very professional and very helpful. Instructor is very good. The management is prompt in sending the videos and constantly in touch with students to make sure the training is smooth. I would definitely recommend SVR.

– Sujatha N

I am very happy to be a part of SVR Technologies. I have started my course training in a very friendly environment. I am very scared and reserved kind before starting the course but later, I felt very comfortable with the SVR environment. The faculty always supported with positive guidance.

– Siva Kumar

It was nice experience with SVR the teaching process and teacher both were good. Overall good experience.

– Shanthan Reddy

Quality: Faculty is experienced and same is true for students. Thus brought real life scenarios into class. Course progression is very logical and every lecturer builds the foundation for next lecture.
Convenient: Course is online, thus providing environment to learn in the comfort of my home. Videos are recorded, thus easy to review when necessary. Instructions are provided to setup labs in Virtual environment at home laptop/desktop.
Affordability: Fee is very affordable.
Based on Quality, convenience and fee – the review can be sum-up into — Excellent job!

– Muhammed Azimi

The instructors are definitely experts in their field, very helpful staff. They are very enthusiastic about what they teach, plus they give honest feedback, also put extra effort in students to learn faster & in easier way, I felt consistently motivated by their high standards of teaching. Can’t find better online faculty in IT field to learn & gain in short period of time

– Bilquis AK

Everything was very smooth and consistent. The instructor did a great job !!! Trainer proficiency for this course was very good !!!

– Pandu Palway

The trainer is knowledgeable and is clear in what he explains. If something is not clear he explains the topics again patiently.

– Ashwini Kodati

Excellent training with many real time examples for each exercise. It is very useful course for me. Its very well organized and explain each and every question which I asked without any hesitation. Extremely satisfied with the training.

– Kiruthiga Nallasivam

I am extremely satisfied with the course so far. Instructor is very good, I respect the way he teaches and really like the interest he comes with, i’m impressed. Concepts are clear understanding. I am very happy with the training and support they are providing. Wonderful learning experience.

– Parimila Y

I just wanted to say that I am happy to choose SVR Technologies. The instructor was fantastic and incredibly nice, and I could not have hoped for a better teacher. He is an inspiration to anyone that truly wants to work. I have never had any other teacher or trainer as enthusiastic or knowledgeable as he is. Thank you for the support and the encouragement you gave me throughout the course.

– Archana

Faculty is very good and he is very responsible, very helpful. SVR is reasonable in pricing. I got Immediate response from the tutor, whenever i ping. Thank you for helping me out.

– Shylaja

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About Our Faculty

✓ Trending Tools Certified and working Lead Admin
✓ 8 years of experience in insurance, Financial and Banking domains
✓ 5 years of expertise in corporate and online training
✓ Successfully trained more than 30 batches
✓ Trained more than 150 learners

Frequently Asked Questions

Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. SVR Technologies verifies their technical background and expertise.

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.
The Training itself is Real-time Project Oriented.
Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.
There are some Group discounts available if the participants are more than 2.
As we are one of the leading providers of Online training, We have customers from USA, UK, Canada, Australia, UAE and other parts of the world. We are located in India.

SVR Technologies,
Madhurawada, Visakhapatnam, AndhraPradesh – 530041

Mobile: 91 88869 88814

Fresher and who’s already working on other middleware technologies.

Big Data Analytics Detailed Course Content


Additional Details about Big Data Analytics Training Online Course

As with all strategic technology trends, big data analytics training online introduces highly specialized features that set it apart from legacy systems. Each component of the stack is optimized around the large, unstructured and semi-structured nature of big data. Working together, these moving parts comprise a holistic solution that’s fine-tuned for specialized, high-performance processing and storage. Storing large and diverse amounts of data on disk is becoming more cost-effective as the disk technologies become more commoditized and efficient. Companies like EMC sell storage solutions that allow disks to be added quickly and cheaply, thereby scaling storage in lock step with growing data volumes. Indeed, many big company executives see big data analytics training online as a low-cost alternative for the archival and quick retrieval of large amounts of historical data. The big data “platform” is typically the collection of functions that comprise high-performance processing of big data. The big data analytics training online includes capabilities to integrate, manage, and apply sophisticated computational processing to the data. Typically, big data analytics training online platforms include a Hadoop (or similar open source project) foundation. Hadoop was designed and built to optimize complex manipulation of large amounts of data while vastly exceeding the price/performance of traditional databases.

Big data analytics training online is a unified storage and processing environment that is highly scalable to large and complex data volumes. In the new world of big data, open source projects like Hadoop have become the de facto processing platform for big data. Indeed, the rise of big data technologies has meant that the conversation around analytics solutions has fundamentally changed. Companies unencumbered with legacy data warehouses (many recent high-tech startups among them) can now leverage a single Hadoop platform to segregate complex workloads and support a variety of usage scenarios from complex mathematical computations to ad hoc visualizations. The expanse of big data analytics training online is as broad and complex as the applications for it. Big data can mean human genome sequences, oilwell sensors, cancer cell behaviors, locations of products on pallets, social media interactions, or patient vital signs, to name a few examples. The data layer in the big data analytics training online implies that data is a separate asset, warranting discrete management and governance. To that big data analytics training online, a 2013 survey of data management professionals viii found that of the 339 companies responding, 71 percent admitted that they “have yet to begin planning” their big data strategies.

The respondents cited concerns about data quality, reconciliation, timeliness, and security as significant barriers to big data adoption. Just as big data analytics training online varies with the business application, the code used to manipulate and process the data can vary. Hadoop online training uses a processing engine called MapReduce to not only distribute data across the disks, but to apply complex computational instructions to that data. In keeping with the high performance capabilities of the platform, big data analytics training online instructions are processed in parallel across various nodes on the big data platform, and then quickly assembled to provide a new data structure or answer set. An example of a big data analytics training online application in Hadoop might be to “calculate all the customers who like us on social media.” A text mining application might crunch through social media transactions, searching for words such as “fan,” “love,” “bought,” or “awesome” and consolidate a list of key influencer customers. Depending on the big data application, additional processing via big data analytics training online or custom Java code might be used to construct an intermediate data structure, such as a statistical model, a flat file, a relational table, or a cube.

The resulting structure may be intended for additional analysis, or to be queried by a traditional SQL-based query tool. This business view ensures that big data analytics training online is more consumable by the tools and the knowledge workers that already exist in an organization. One Hadoop online course project called “Hive” enables raw data to be re-structured into relational tables that can be accessed via SQL and incumbent SQL-based toolsets, capitalizing on the skills that a company may already have in-house. One of the more profound developments in the world of big data analytics training online is the adoption of so-called data visualization. Unlike the specialized business intelligence technologies and unwieldy spreadsheets of yesterday, data visualization tools allow the average business person to view information in an intuitive, graphical way. For instance, if a wireless carrier wants better information on its network, looking in particular for patterns in dropped calls, big data analytics training online could assemble a complicated spreadsheet full of different columns and figures. This data visualization displays three different views of the data. The first shows call drops by region grouped by network generation.

The big data analytics training online shows how each hour the distribution of dropped calls is different. The third shows a higher percentage of dropped calls in the 4G network around the call start hour of 17:00. This kind of information might prompt a network operator to drill down further and discover the root causes of problems on the network, and which high-value customers might be affected by them. Such visualization can be pulled by the network operator onto her desktop PC, or pushed to the mobile device of a service technician in the field, thereby decreasing time-to-resolution for high-impact trouble tickets. And big data analytics training online can be done in a fraction of the time it used to take finding, accessing, loading, and consolidating the data from myriad billing and customer systems. Data visualizations, although normally highly appealing to managerial users, are more difficult to create when the primary output is a multivariate predictive model; humans have difficulty understanding visualizations in more than two dimensions. Some data visualization tools now select the most appropriate big data analytics training online display for the type of data and number of variables.

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