In today’s business landscape, data is an important and most powerful asset that has the ability to change each industry. Have you ever thought that why are some businesses at their peak? It’s because they are exploiting their business data to get better insights and grow in the market. Consequently, countless organizations are anxious to hop on the big data analytics train.
In this article, we will discuss the primary characteristics of big data, how big data and cloud computing is a powerful combination, the pros and cons of making big data migration in the cloud, and more. So, stay tuned.
What is Big Data?
On average, around 3.8 million searches are done per minute across the globe. 376.4 billion emails are sent every day.
In 2021, there are around 4.88 billion mobile phone users, and 35 billion IoT devices will be installed around the world.
In simple words, large stores of data bombarded on companies day in and day out are collectively called big data. To get a better idea of big data, let understand it with for Vs –
- Volume – The measure of information collected by privately owned businesses, public offices, and different associations consistently are very huge. This makes volume the characterizing trademark for big data.
- Velocity – It’s a given that information can and will stack up super quick. However, what makes a difference is the speed with which you can measure and analyze this information so it becomes valuable data.
- Variety – The collected data can be extremely diverse. Structured data and unstructured information like tweets, messages, pictures, recordings, and then some, should be consumed and processed all the same.
- Veracity – On account of its scale and variety, big data contains a ton of useless information. Veracity refers to the assurance of the information and how your big data tools and analysis strategies can isolate the low-quality information from those that truly make a difference to your business.
Why Big Data Matters to a Business?
In today’s data-driven market, enterprises that don’t adopt Big Data may lose to their competitors or even face extinction. In case, if you haven’t jumped onto the Big Data train yet, your rivals might be abandoning you. Organizations that can effectively implement Big Data remain to profit from the critical experiences and helpful information that can help them stay ahead of the opposition and float in the market.
Things to Consider Before Migration Big Data in Cloud Computing
There are plenty of advantages of big data migration to cloud. However, cloud migration comes with its own challenges. Whether you are looking to leverage cloud infrastructure, software services, or platforms services, you will have to overcome the several challenges to navigate a successful cloud migration from on-premise. It’s no surprise why cloud adoption has got popular –
- Reduced costs
- Integration with the IT tech stack
- Improved efficiency in operations & management
- Better access to a distributed workforce
Before migrating to the cloud, you must deeply analyze your business requirements and then reach out to a cloud service provider who is ticking all the boxes of your needs. Download a PDF of Must-Have Steps while migrating big data in cloud computing without any obstacle.
Step-by-step guide for Cloud Migration
Big Data and Cloud Computing: Opportunities and Challenges
You might add greater capacity to your in-house data warehouse or add more servers to take into account the rapidly expanding data analytics prerequisites. In any case, even with the increase in your on-premise systems, at last, you will most likely be unable to keep up. This is where cloud computing comes in, or all the more fittingly when you migrate big data to the cloud. Let’s figure out what are the benefits of Big Data in the cloud and what are the challenges of migrating Big Data in the cloud.
Benefits of Big Data in the Cloud
Large volumes of both organized and unstructured data require better processing power and storage option. The cloud gives readily accessible infrastructure, along with the ability to scale whenever there is a surge in traffic. This is one of the advantages of big data migration to cloud that you can scale up resources as per your real time requirements.
Brings Down the Expense of Analytics
Mining Big Data in the cloud has cut down the analytics cost. After moving to the cloud, you can likewise save money on costs identified with infrastructure support and overhauls, power consumption, facility management, and more. You can likewise stress less over the technicalities involved in processing the Big Data and spotlight more on creating insights. Far and away superior, the cloud’s pay-as-you-go model is cost-effective, with minimal misuse of assets.
An Agile and Innovative Culture
The capacity to innovate is a mindset that ought to be developed within an enterprise. This kind of culture can prompt innovative methods of utilizing Big Data to acquire an upper hand, and the cloud makes it simpler to turn up the fundamental infrastructure to do as such. At the point when your group has to invest time in analyzing data instead of overseeing servers and data sets, you can all the more effectively and rapidly uncover experiences that can assist you with expanding product offerings, support functional productivity, further develop client care, and then some.
Empowers Better Business Progression and Disaster Recuperation
In instances of digital assaults, power outages, or hardware disappointment, traditional data recovery procedures will at this point don’t get the job done. Replication of a data center – with servers, duplicate storage, organizing hardware, and other infrastructure can be troublesome, and costly. Also, legacy systems take extremely long to back up and restore. This is particularly obvious in the era of big data where data stores are so tremendous and expansive.
Big Data and Cloud Computing: Challenges
Relocating huge information to the cloud presents different obstacles. Defeating these requires a coordinated effort from IT pioneers, C-suite leaders, and other business partners. Here are some of the significant difficulties of huge information cloud executions.
Less command over security
The enormous datasets contain delicate data like people’s locations, credit card subtleties, federal retirement aid numbers, and other individual data. Guaranteeing that this information is kept secure is of vital significance. Data leakage could mean genuine penalties under different guidelines on an organization’s brand, which can prompt misfortune clients and income.
While security ought not to be a block to migrating to the cloud, you will have less immediate authority over your information, which can be a major authoritative change and may cause some discomfort.
To manage this, ensure to assess the security protocols and comprehend the common obligation model of your cloud service provider so you know what your jobs and commitments are.
Less Control Over Compliance
Compliance is another worry that you’ll need to ponder while moving data to the cloud. Cloud service providers keep a specific degree of compliance with different guidelines like HIPAA, PCI, and some more. In any case, like security, you at this point don’t have full authority over your information’s compliance necessities.
Regardless of whether your CSP is dealing with a decent chunk of your compliance, you should ensure you know the responses to the below-given inquiries:
- Where is the information going to reside?
- Who will oversee it, and who have the access to it?
- What local guidelines do you have to agree with?
- Network Dependency and Latency Issues
To access cloud data, we are highly reliant on network connections. This reliance on the internet implies that the infrastructure could be inclined to service interruptions. Also, the issue of latency in the cloud could all around become possibly the most important factor given the volume of data that is being moved, broke down, and handled at some random time.
Big Data and Cloud Computing: Google Cloud Migration Vs Azure Migration
|Object Storage||Azure provides Powershell, REST API, and CLI access||Google cloud optimizes price/performance using Object Lifecycle Management|
|File Storage||Azure gives access to files via standard SMB protocol||In Google cloud, users get NAS access and integrate with GKE|
|Cold Storage||In Azure, you get hot, cool, and archive access tiers||In Google, users get cold storage with sub-second response times|
|Virtual Machine Instances||With Azure, you get more regions and availability zones||For Google cloud migration, you get lower prices across all instance types and Custom Machine Types|
|Container as a Service||AKE supports Visual Studio and Azure DevOps||Google Kubernetes engines are considered the most robust Kubernetes service|
Big Data and Cloud Computing: Review Big Data Services in the Cloud
Fortunately, organizations looking to execute big data initiatives don’t have to begin from scratch. Cloud service providers offer administrations and documentation, however can likewise arrange for support and counseling to assist organizations with enhancing their Big Data projects. Let us see a sampling of Big Data that are offered by top three providers –
- Amazon Elastic MapReduce
- AWS Deep Learning AMIs
- Amazon SageMaker
- Google BigQuery
- Google Cloud Dataproc
- Google Cloud AutoML
- Azure HDInsight
- Azure Analysis Services
- Azure Databricks
Are you also looking to migrate Big Data to the cloud? If so, we think reading this article would have definitely given you better insights. Also, you must have got the idea on how big data and cloud computing is a powerful combination and what are benefits of big data moving to cloud. Moreover, if you are looking to hire cloud professionals working remotely, PeoplActive can fulfill all your hiring needs.