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Your Guide to Using AWS S3 Data Effortlessly

Businesses are increasingly abandoning on-premises legacy databases in favor of modern cloud storage options, which give them the scalability and flexibility to deal with the explosive growth in data. Amazon Web Services is the biggest player in the cloud market with Google Cloud Platform and Microsoft Azure following behind. According to a Canalys report, the worldwide cloud market grew by 35% in April 2021, and AWS had a market share of 32%. 

What is Amazon S3?

AWS has designed Amazon S3 as an object cloud storage that offers maximum flexibility and scalability to businesses. Amazon S3’s capability to store large amounts of structured and unstructured data such as videos, images, and scale with the business makes it a go-to choice for many companies. Organizations such as Netflix, Pinterest use the storage service for backups, archives, and data lakes. 

Working with Amazon S3 Buckets

To store data in Amazon S3, you need to create a bucket, and you can then upload any number of objects within one bucket. Amazon is key-value storage, which means that each bucket has a globally unique name. Since all AWS accounts share the same namespace, no two buckets can have the same identity. 

The most important thing to keep in mind while storing data on Amazon S3 is to create buckets in the region that is closer to you. This will help you reduce storage costs and optimize latency while retrieving data. 

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Accelerate AWS S3 Data Transfer with Astera

As a cloud object storage, Amazon S3 offers scalability and flexibility that legacy storage systems don’t, making it ideal for storing large volumes of unstructured and structured data. It is highly secure and durable cloud storage, which promises 99.999% availability and can help businesses realize operational and cost efficiencies.

Amazon S3 is commonly used to create data lakes, implement legacy modernization initiatives, or with cloud or on-premises databases to form a next-gen enterprise data architecture. Its storage tiers ensure that a company can optimize its storage bill.  While Amazon S3 is a great addition to any company’s technology stack, an organization can only leverage its true potential if it can work with the cloud platform in a hassle-free way. It should be easy to access data stored on the cloud storage, upload data on it, and integrate the cloud storage in a data pipeline without writing extensive codes. The code-free tool can make AWS S3 upload easier and more seamless.

Choosing the Right Tool for AWS S3

Various solutions allow data transfer on Amazon S3, but before choosing one, businesses should analyze what exactly their needs are. Amazon offers data transfer services such as AWS Glue, Amazon S3 Transfer Acceleration, and AWS Data Sync. However, Amazon solutions are compatible with Amazon products only.

Then there are third-party tools that offer similar capabilities and are compatible with other data sources and destinations. Astera Centerprise is one such code-free ETL tool. The product comes with a built-in connector for Amazon S3 along with native providers for various popular sources and destinations, so you can integrate Amazon S3 into your data architecture for S3 upload and other operations with simple drag and drop actions. Because of its no-code interface, the tool significantly cuts down development time by allowing users to build data pipelines on a logical level without any manual scripting and then orchestrate data movements to and from Amazon S3.

Read more here: 

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ETL Data in Microsoft Azure Blob Storage

The rise in unstructured data has led to the increased usage of object storage, a highly scalable flexible, and secure option, ideal for holding huge volumes of structured and unstructured data.

With Azure, Microsoft has emerged as one of the key players in this rapidly expanding market.  Microsoft’s Azure object storage or Azure blob storage, as it is popularly known can effortlessly tackle the challenge of explosion in data volume and variety. According to Enlyft, 47,039 companies have already adopted Blob storage in their data architecture.

Working with Microsoft Azure Blob Storage

Cloud storage offers various benefits to an organization. Azure data storage, particularly is a cost-effective way of storing petabytes of data. With its massive scalability and advanced security features, Azure Blob storage is optimized for archiving, backing up, or just storing data to be analyzed later by downstream analytics tools. Azure blob storage cost and its durability also make it a perfect support for Artificial intelligence and machine learning projects.

Azure Blob storage has a simple structure; each storage account can have multiple containers and within each Azure storage container, there can be multiple blobs. There are three categories of blobs: Block blobs, append blobs, and page blobs. Block blobs are used for storing texts or large videos and images, append blobs are used for storing log data while page blobs are meant for disks like Azure SQL.

What makes Azure Blob storage appealing is its access tiers that allow users to manage data in a cost-effective manner. These access tiers are divided according to what type of data is stored in them and how often it is accessed.

Azure Hot Storage: Hot storage is an online tier meant for data that is accessed frequently. This access tier has high storage costs but low access costs.

Azure Cold Storage: This online access tier is ideal for data that is not used frequently. This tier has low storage costs but high access costs.

Azure Archive Storage: It is an offline tier that can be used to store data that is rarely used and there are no latency requirements

Integrating Azure Blob Storage in Data Architecture

When a company decides to incorporate the cloud in its data infrastructure, it is usually to realize operational and cost efficiencies. However, integrating the cloud in data pipelines can sometimes be overwhelming with lots of coding involved, which undermines the main objective of migration.

A code-free data integration tool such as Astera makes it easier to integrate cloud platforms in enterprise architecture.  Astera comes with a built-in connector for Azure Blob Storage as source and destination, so all you need to do is drag and drop to build a data pipeline with Azure data storage.

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How Cloud Storage Can Accelerate Innovation in your Organization?

With an explosion in data, many organizations are reaching a point where they have to evaluate their data storage options. Take Netflix, for example. According to The Verge, the entertainment website has more than 209 million subscribers in over 130 countries and 5800 titles on its platform. Netflix’s success cannot be solely attributed to the type of content it delivers but also how seamlessly its platform functions. You rarely have to face the dreaded buffering wheel on the streaming site. So, how does Netflix manage that? What goes on behind the scenes? Is cloud storage the recipe for its success?

In 2008, Netflix was reliant on relational databases in its own data center, until one of its data centers broke down, halting Netflix’s operations for three days. Now, this was when Netflix was a small organization, but Netflix had the foresight to see it was growing fast, and it had to come up with a way to deal with exponential growth in data. So, it decided to move to the cloud. The migration has given Netflix the scalability and velocity to add new features and content without worrying about potential technological limitations.

Netflix is one of the many organizations that are increasingly opting for cloud storage. In 2020, Etsy moved 5.5 petabytes of data from about 2,000 servers to Google Cloud. According to Etsy, the migration allowed it to shift 15% of its engineering team from daily infrastructure management to improving customer experience.

Leverage The Power Of The Cloud With A Codeless Integration Solution

Why are More Businesses Abandoning On-Prem Storage for Cloud Storage?

According to 451 research, 90% of the companies have already made the transition, which begs the question, what is pushing these companies to move towards the cloud and has on-premises storage been rendered obsolete?

Let’s explore some benefits that cloud storage has to offer to modern-day businesses:

1. Security and Data protection

Deloitte surveyed 500 IT leaders, out of which 58% of them considered data protection as the top driver in moving to the cloud. As hacking attempts get more sophisticated, it is becoming increasingly difficult for companies to protect data in-house.

Third-party cloud vendors such as Amazon S3, Google Cloud, or Microsoft Azure come with extensive security options. Amazon S3, for example, comes with encryption features and lets users block public access with S3 Block Public Access.

2. Data modernization

Simply put, data modernization is moving data from legacy to modern systems. Since most companies are just moving to the cloud, cloud migration is often used synonymously with data modernization. Why is data modernization important, and why do companies opt for it?

Data modernization allows an organization to process data efficiently. Today, organizations rely heavily on data for making decisions, but this becomes a huge hassle when data is stored in legacy systems and is difficult to retrieve.  

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PDF Data Extraction : Extract Valuable Data from PDFs With ReportMiner

PDF (portable document format) files were developed in the early 1990s to enable computer users with different platforms and software tools to share documents with a fixed layout of text and graphics. Because they are independent of application software, hardware, and operating systems, PDFs have become a popular way to share documents. All that is needed is a PDF reader, available for free download on the Internet. In this day and age, however, data lives on, even if it’s trapped in a PDF. Businesses need software to extract data from PDF files, combine it with other data, use it in spreadsheets or databases and integrate it with other applications, or use it for business intelligence. This surge in data extraction activities, has also increased the demand for pdf extraction software.

Exploring ReportMiner – The Ultimate Data Extraction Tool

Astera ReportMiner, an automated pdf data extraction software, offers many capabilities for PDF scraping or PDF report data extraction in an easy-to-use interface that doesn’t require code writing. The tool enables users to easily extract data from PDF files by simply creating an extraction layout and exporting it to the destination of their choice. ReportMiner does all the heavy lifting by automatically recognizing data patterns and creating necessary data regions and fields.

In addition, users are able to use their extracted data to take advantage of the software’s advanced transformation, quality, and scrubbing features.

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PDF data extraction software  -ReportMiner

PDF (portable document format) files were developed in the early 1990s to enable computer users with different platforms and software tools to share documents with a fixed layout of text and graphics. Because they are independent of application software, hardware, and operating systems, PDFs have become a popular way to share documents. All that is needed is a PDF reader, available for free download on the Internet.

In this day and age, however, data lives on, even if it’s trapped in a PDF. Businesses need software to extract data from PDF files, combine it with other data, use it in spreadsheets or databases and integrate it with other applications, or use it for business intelligence.

Exploring ReportMiner – The Ultimate Data Extraction Tool

Astera ReportMiner, an automated pdf data extraction software, offers many capabilities for PDF scraping or PDF report data extraction in an easy-to-use interface that doesn’t require code writing. The tool enables users to easily extract data from PDF files by simply creating an extraction layout and exporting it to the destination of their choice. ReportMiner does all the heavy lifting by automatically recognizing data patterns and creating necessary data regions and fields.

In addition, users are able to use their extracted data to take advantage of the software’s advanced transformation, quality, and scrubbing features. To read more about pdf data extraction software, click on the link. 

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PDF report data extraction With ReportMiner

PDF (portable document format) files were developed in the early 1990s to enable computer users with different platforms and software tools to share documents with a fixed layout of text and graphics. Because they are independent of application software, hardware, and operating systems, PDFs have become a popular way to share documents. All that is needed is a PDF reader, available for free download on the Internet.

In this day and age, however, data lives on, even if it’s trapped in a PDF. Businesses need software to extract data from PDF files, combine it with other data, use it in spreadsheets or databases and integrate it with other applications, or use it for business intelligence.

Exploring ReportMiner – The Ultimate Data Extraction Tool

Astera ReportMiner, an automated pdf data extraction software, offers many capabilities for PDF scraping or PDF report data extraction in an easy-to-use interface that doesn’t require code writing. The tool enables users to easily extract data from PDF files by simply creating an extraction layout and exporting it to the destination of their choice. ReportMiner does all the heavy lifting by automatically recognizing data patterns and creating necessary data regions and fields.

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Data Extractor Tools: Bridging the Gap Between Unstructured and Structured Data

A voluminous increase in unstructured data has made data management and extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices. A research study shows that businesses that engage in data-driven decision-making experience 5 to 6 percent growth in their productivity. Modern data extraction tools with built-in scheduler components help users automatically pull data from source documents by applying a suitable data extraction template and load structured data to the target destination. These data extraction tools are now a necessity for majority organizations. If you want to explore a modern data extraction tool, check out Astera’s automated data extractor tool for free.

Understanding data extraction and why it is significant for organizations to extract insights from data? What are the key features of a data extraction tool? Read on to find out.

What is Data Extraction? How Can it Help Businesses?

As mentioned above how important data extraction is to organizations now let’s begin with what data extraction is. In simple terms, data extraction is the process of extracting data captured within semi-structured and unstructured sources, such as emails, PDF documents, PDF forms, text files, social media, barcodes, and images. How is unstructured data extraction done? An enterprise-grade data extraction tool makes incoming business data from unstructured or semi-structured sources usable for data analytics and reporting. They are also called data extractor tool.

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The Data Extraction Powerhouse

Instantly transform large volume of unstructured data into actionable insights with Astera ReportMiner. Use our automated, code-free platform to spend less time in data extraction and more time in using it

Why ReportMiner?

1. Extract large amount of complex data intuitively

Build pattern-based extraction templates for complex data files in an easy-to-learn, code-free environment.

2. Save time with workflow automation

Automatically load files from a configured location and then write the extracted data to a destination of choice with our report mining software.

3.  Never get stuck

We have a dedicated team of customer success representatives who ensure your experience with the product is as smooth as possible.

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PDF Scraping: A Guide to Extracting Unstructured Data from PDFs

What is PDF Scraping and Why is it Important for Business?

The problem with PDF file extraction is that it takes dozens of human hours to retrieve unstructured data manually. PDF data scraping tools simplify this process by extracting data from PDF and reports in bulk without any manual effort. There are many data extraction tools available that can read printed PDF reports using OCR and extract data from pdf to database or excel sheets.

PDF scraping is highly valuable in the healthcare, financial, and automotive sectors. They have large sets of printed datasheets that needs to be analyzed. Without PDF scraping tools, digitizing this enormous amount of data can take days and directly impact the organization's bottom line. Hence a software to extract data from pdf files to database, has become really important in this day and age.

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PDF Scraping: A Guide to Extracting Unstructured Data from PDFs

The key advantage of PDFs is that they are portable, platform-independent, and human-readable. However, this format is unstructured, making it difficult to access the information for data analysis. Unlike other documents, such as Excel spreadsheets, PDFs do not have a standard format. Therefore, it is challenging to structure and understand the data within them. Using PDF scraping software to extract data from pdf to database is more of a necessity for organizations that deal with a large number of source PDFs and do not want to deal with manual pdf data extraction to excel.

How Businesses use PDF Files

PDF files are widely used in businesses because of their versatility and ease of use. PDF files offer ease in terms of simple viewing, printing, and navigating.

Some of the benefits of using PDF files for business include:

Fixed Document Format: PDF format files leave the document unchanged despite the type of device, computer, and operating system used.

The Universality of Format: It is easy to share PDF files across multiple operating systems without altering the document's content. It helps ensure the accuracy of the documents shared. Moreover, PDF files are accepted all around the world that offers the added advantage of universality.

Document Security: When working with sensitive data, like credit card information, it is important to ensure the security of data or information. However, user-password-protected PDF files can avoid unauthorized access.  It also detects if the document has been edited or opened by unauthorized persons, ensuring security.

What is PDF Scraping and Why is it Important for Business?

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The Data Extraction Powerhouse

Instantly transform large volume of unstructured data into actionable insights with Astera ReportMiner. Use our automated, code-free platform to spend less time in data extraction and more time in using it

Why ReportMiner? Find out more here. 

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The Data Extraction Powerhouse

Instantly transform large volume of unstructured data into actionable insights with Astera ReportMiner. Use our automated, code-free platform to spend less time in data extraction and more time in using it

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Data Scrubbing – A Way to Enhance Data Reliability

Erroneous data can cost large sums of money. Therefore, businesses need to ensure that their enterprise data is clean, good-quality, error-free, and readily available for reporting and analysis so that the business operations can be cost-and-time effective. This is where data scrubbing comes into play.

Let’s start by understanding what is data scrubbing and why it is important.

What is Data Scrubbing?

Data scrubbing by definition is cleaning raw data and translating it into an accurate, clean, and error-free form. Your data may be erroneous due to various reasons such as improper formatting, human errors at the time of data entry, and/or missing data.Data scrubbing improves data quality as it removes duplicate, incorrect, incomplete, or poorly formatted data. To read more about data scrubbing, visit here.

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Uncover the Insights within your Unstructured Data with our Data Extraction Solution

Data is the driving force behind every business. However, to seize the information advantage and use data as a decision-making resource, businesses must leverage the power of both structured data contained in relational databases and unstructured data trapped in documents, spreadsheets, email messages, machine logs, and other files.  To find more about the best data extraction solution you can visit here.