#store data

In a world full of technologies, storing numerous data become so light nowadays. And it is true, that many business organizations indeed prefer to use data warehouses and data lakes to reserve their huge company's data effortlessly. 

Saving a company's data history for many years was tough in the old times. But today's technologies made this heavy thing very easy. Now, any company can store its significant data via a data warehouse and data lake. 

But the thing is, a data warehouse and a data lake are different. There are many differences among them. In simple language, a data lake is raw and unorganized data. And on the other hand, a data warehouse is organized and specific data. 

Let's Take An Example To Understand It More Clearly. 

A water lake can be used to describe the data lake. So, a water lake contains water from anywhere in the world. That water doesn't come from one source. But it comes from a variety of sources. And all of the water got stored in one lake. This process is similar to the data lake. 

Because in a data lake, multiple data come from different-different sources and are stored in one data lake. Alternatively, multiples of data from the data lake get organized and filtered, then stored in one specific place called a data warehouse. 

If the data lake is compared to a water lake, then a data warehouse can be compared to a house's water tank. The reason for that is the water in a lake comes from various sources and is stored without being filtered. 

However, many individuals took the lake's water and stored it in their house's water tank, filtering it so they could use it whenever needed. 

Data Warehouse VS Date Lake - Differences

Structure Of The Data

All data is refined and organized in the data warehouse. And all these data come from a data lake. Additionally, data in a data warehouse is usually normalized, which indicates that duplicate information is decreased to ensure uniformity and reduce storage requirements.

As an alternative, all the data is raw and unclear in the data lake because it comes from various sources. 

Storage Capacity

The data lakes always contain big data. That's the reason it has a large storage capacity for data. The data stored in data lakes are unorganized and unstructured. That's why it provides flexible and scalable solutions to reserving large volumes of data.

But for data warehouses, the storage capacity is not that large. That's why it contains flexible and perfectly analyzed data. Also, the storage capacity of a data warehouse depends on its hardware. And many data warehouses are designed to manage terabytes to petabytes of data.

Approaches/Processing

The approach used by data warehouses is a schema-on-write approach for processing the data. It is a form of organizing and reserving data where the structure and schema of data are determined and implemented before writing the data into the storage system.   

On the other hand, the data lakes used a schema-on-read approach to processing their data. In this approach, the data stored are semi-structured, raw, and without format form. While reading or querying data, this approach implements the schema or data structure.

Cost

The cost of a data warehouse is high. Because it provides its users with powerful hardware and infrastructure. Currently, many business organizations prefer to use the cloud-based data warehouse for storing and preserving their company's data effortlessly. The expense of cloud-based data warehouses varies according to the usage and cloud provider. 

Apart from that, the data lake cost is lower and reasonable. The reason behind it data lakes always store data in a raw and unorganized form. And they are compatible with a wide range of data processing tools and frameworks. That is why the data lake cost is lower than the data warehouse.

Objective

The objective or purpose of using the data of a data warehouse is specific. And the best advantage of a data warehouse is its storage capacity. Because a data warehouse's storage space is not wasted on data that will never be used in the coming future. 

A data lake is a storage for raw data that may or may not have a defined future use. As a result, data in the data lake is less ordered and filtered. 

Users

The users of data warehouses are IT sectors or many business professionals. Because as an IT company, they have to use specific and organized data for their services. That is the main reason they always prefer to use the data warehouse for saving and storing the salient data of their company.

Aside from that, the users of data lakes are data scientists and engineers. These people prefer to use data lakes for storing and reserving their data because they contain data from multiple sources. These data include raw, semi-structured, and unorganized data. 

Accessibility

The data warehouse structure is perfectly designed by the developer. As a result, it is tough to exaggerate and manipulate. However, the users of a data warehouse can excess their data by using SQL (Structured Query Language). Moreover, Once data has been entered into a data warehouse, it is usually not directly altered or changed. 

In contrast, the data lake has few constraints and is simple to access and modify. It is one of the most significant data lake advantages. As compared to a standard data warehouse, where data is often deemed read-only once imported, data in a data lake can be modified or changed. 

So, What To Choose?

Choosing whether a business organization should utilize a data warehouse or a data lake to store data is the simplest option for anyone who understands the difference between a data warehouse and a data lake. 

Furthermore, the data warehouse and data lake are great for storing valuable data for a business organization. And many companies prefer to use both data solutions in their business for smooth storage.

So, this article will help business owners to know the difference between them and selecting the perfect storing place for all their significant data. 

DNA inside living bacterial cells has been edited with CRISPR technology to encode and store information. This could be a step towards developing a new medium for long-term data storage.

Life’s genetic information is stored in DNA, but there is growing interest in using DNA as a storage medium for other kinds of data. To do this, information is often encoded using the four DNA bases – adenine (A), cytosine (C), thymine (T) and guanine (G). The corresponding DNA sequence can then be chemically synthesised in a laboratory, and even stored within everyday objects.

Harris Wang at Columbia University in New York and his team took this one step further, using a form of CRISPR gene editing to insert specific DNA sequences that encode binary data – the 1s and 0s that computers use to store data – into bacterial cells. By assigning different arrangements of these DNA sequences to different letters of the English alphabet, the researchers were able to encode the 12-byte text message “hello world!” into DNA inside E. coli cells.

The concept of blockchain was introduced in 2008. As a new application mode of distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and other computer technologies, blockchain has the characteristics of disintermediation, good traceability and difficult to tamper. In recent years, it has been widely concerned around the world, and new industrial forms are being formed. At present, countries have begun to realize the real value of blockchain as a new underlying computing technology, and have accelerated the strategic layout.

While the blockchain acts as the underlying infrastructure, like the operating system carries the operation of the whole computer to the computer, so does the blockchain, as a new underlying protocol to construct the underlying infrastructure of the entire blockchain, it carries everything from the entire blockchain network. The blockchain has been going all the way for several years, the development of blockchain 1.0 to 2.0 to 3.0, but after the boom, the blockchain’s problem also gradually appeared. As the third generation of the blockchain, EOS leads the short prosperity of the blockchain, but fell into trouble as well.

 EOS in dilemma

EOS has been on market for more than two years as of now, yet the original agreement to build millions of levels TPS, not even a shadow. While compared to the fact that ethernet handles only 30~40 transactions per second, EOS presents a great boost, the top three to four thousand TPS, are far from the million level, and there is no official plan.

On the other hand, compared with other blockchains, the threshold of EOS use is relatively high, requiring paid account, and to learn the mortgage and redemption of EOS resources, which is not conducive to the large-scale popularization of EOS technology.

With the exception of TPS and fees, the EOS most criticized is "not decentralized enough", and node ranking is too concentrated. Especially after the REX went online, the voting was more concentrated. All these problems have become EOS urgent problems and become stumbling blocks on the road of blockchain development.

 The wealth life begins with NGK

The breakthrough path

In order to find the way to make breakthrough in the blockchain, it must focus on solving the pain point of the development of the blockchain, the right remedy, and find the breakthrough point of the blockchain breakthrough, to become the pioneer of the road to break the situation. The problem NGK needs to solve in short is: to address unsolved EOS problems.

Advance TPS scheme: side-chain IBC

There are many branches in NGK.IO besides the NGK main network, which may eventually become the side chains of the NGK rather than independent networks, and this paradigm will be enhanced by inter-blockchain communication. NGK can be described as a "binder" that connects the entire network together, which is the consensus layer that ensures that the entire network transaction history is immutable. this is a cheaper TPS expansion solution than EOS vertical expansion.

Free access to web resources

Moreover, different from the operation of the EOS, EOS account in the initiation of transactions, need to consume a certain amount of RAM,RAM is mainly used to store data, belong to the consumption class resources, used up to re-purchase, which virtually increased a lot of use costs. NGK adopts the initial allocation model, each completed account needs to register, corresponding to the initial resources, meaning that the NGK and Ethereum is both of zero threshold, and the transaction only consumes a small amount of resources.

 Enhance consensus mechanisms to change centralized structures

The multi-centralization of EOS blockchain has been criticized by insiders, in order to develop in the field of blockchain, the transition must be from decentralization to multi-centralization. Bitcoin systems, for example, from the initial decentralization to the current Core-led development, bitland and other large miners’ monopoly power, has the maintenance of network security gradually approaching the multi-centric checks and balances.

The NGK directly draws lessons from the successful governance structure of typical enterprises in reality,  and then puts on a variety of namely 21 super nodes, using Token stimulation to achieve DPOSS governance. Of course, there is no historical comparison of past failures, the direct leap-forward development, is a controversial price, from which we can see that in the blockchain consensus mechanism, NGK is still prescient, at least not lagged behind EOS.

Firms Based in Indonesia Prefer to Store Data Overseas

Firms based in Indonesia prefer to store data overseas. Many companies operating in Indonesia store their data overseas rather than in the country, as foreign cloud providers offer greater reliability.

Indonesian Cloud Computing Association (ACCI) secretary-general Fanky Christian said many companies opted for overseas data centers, as this provided them with faster internet connections and…

JIO Cloud Application – Download – Files storage – Data in Your Pocket

We all want our data to be safe and secure. Moreover, we all want our data safe and secure at one place. As we know Reliance has been very vigilant about the customers needs. So have they launched JIO. While they had launched Jio, along with it Reliance has also launched MY jio App. This My JIo app consists of various Applications of JIo like JIO news , JIO Mags, Jio Health Hub App, Jio Security…

It is hard to improve at simple area magazine beige technology publication without a belt about the dramatic jury-rigged expedient taking province. The sully is a trend that is revolutionizing the way we do business and intrusion edification. Companies use it to access their theorem from anywhere in the world, on any expedient, repression them more repugnant. While applications and software providers are changing their racket plan on route to deliver software to their loyal customers. This new trend is creating a demand vice storage tackle that will office drive the innovation with respect to the cloud.<\p>

The ward heeler are four ways stationing facilities are impacting growth.<\p>

1. Intensified demand for mobility More smartphones and tablets are being sold, and at once perfected prorated of Americans own a mobile depth sounder that can connect in transit to the Internet. In business, the need to stay connected with these improved new technologies is growing exponentially. The more businesses provide smartphones, tablets or laptops to their employees, the higher the expectation against keep in constant touch with the business.<\p>

2. Super need in consideration of storage resources To make acute accessibility to telegraph agency, inter alia data will have to be stored digitally. Data centers in New York, San Francisco, Phoenix, Dallas and other major cities are growing rapidly towards meet this deepened demand for cargo dock kitty. And whereby the bloated conventionality pertinent to the cloud, a NY data lure can mail-order house data on account of companies from all transverse the globe.<\p>

3. Providers of applications demands increase Plurative software companies are moving their products from downloadable software to software as a service proclaimed in the cloud. Consumers' expectations are changing, and them are starting for anticipate that their information and their favorite solutions liking be accessible anytime, regardless as for which rdf they ply. This new check in to delivering software thus and so a recourse is changing the need for storage systems.<\p>