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sunalimerchant123 · 5 months ago

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Data Pipeline Architecture for Amazon Redshift: An In-Depth Guide

In the era of big data and analytics, Amazon Redshift stands out as a popular choice for managing and analyzing vast amounts of structured and semi-structured data. To leverage its full potential, a well-designed data pipeline for Amazon Redshift is crucial. This article explores the architecture of a robust data pipeline tailored for Amazon Redshift, detailing its components, workflows, and best practices.

Understanding a Data Pipeline for Amazon Redshift

A data pipeline is a series of processes that extract, transform, and load (ETL) data from various sources into a destination system for analysis. In the case of Amazon Redshift, the pipeline ensures data flows seamlessly from source systems into this cloud-based data warehouse, where it can be queried and analyzed.

Key Components of a Data Pipeline Architecture

A comprehensive data pipeline for Amazon Redshift comprises several components, each playing a pivotal role:

Data Sources These include databases, APIs, file systems, IoT devices, and third-party services. The data sources generate raw data that must be ingested into the pipeline.

Ingestion Layer The ingestion layer captures data from multiple sources and transports it into a staging area. Tools like AWS DataSync, Amazon Kinesis, and Apache Kafka are commonly used for this purpose.

Staging Area Before data is loaded into Amazon Redshift, it is often stored in a temporary staging area, such as Amazon S3. This step allows preprocessing and ensures scalability when handling large data volumes.

ETL/ELT Processes The ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) layer prepares the data for Redshift. Tools like AWS Glue, Apache Airflow, and Matillion help clean, transform, and structure data efficiently.

Amazon Redshift The central data warehouse where transformed data is stored and optimized for querying. Amazon Redshift's columnar storage and MPP (Massively Parallel Processing) architecture make it ideal for analytics.

Data Visualization and Analytics Tools like Amazon QuickSight, Tableau, or Power BI connect to Redshift to visualize and analyze the data, providing actionable insights.

Data Pipeline Workflow

A well-designed pipeline operates in sequential or parallel workflows, depending on the complexity of the data and the business requirements:

Data Extraction: Data is extracted from source systems and moved into a staging area, often with minimal transformations.

Data Transformation: Raw data is cleaned, enriched, and structured to meet the schema and business logic requirements of Redshift.

Data Loading: Transformed data is loaded into Amazon Redshift tables using COPY commands or third-party tools.

Data Validation: Post-load checks ensure data accuracy, consistency, and completeness.

Automation and Monitoring: Scheduled jobs and monitoring systems ensure the pipeline runs smoothly and flags any issues.

Best Practices for Data Pipeline Architecture

To maximize the efficiency and reliability of a data pipeline for Amazon Redshift, follow these best practices:

Optimize Data Ingestion

Use Amazon S3 as an intermediary for large data transfers.

Compress and partition data to minimize storage and improve query performance.

Design for Scalability

Choose tools and services that can scale as data volume grows.

Leverage Redshift's spectrum feature to query data directly from S3.

Prioritize Data Quality

Implement rigorous data validation and cleansing routines.

Use AWS Glue DataBrew for visual data preparation.

Secure Your Pipeline

Use encryption for data at rest and in transit.

Configure IAM roles and permissions to restrict access to sensitive data.

Automate and Monitor

Schedule ETL jobs with AWS Step Functions or Apache Airflow.

Set up alerts and dashboards using Amazon CloudWatch to monitor pipeline health.

Tools for Building a Data Pipeline for Amazon Redshift

Several tools and services streamline the process of building and managing a data pipeline for Redshift:

AWS Glue: A serverless data integration service for ETL processes.

Apache Airflow: An open-source tool for workflow automation and orchestration.

Fivetran: A SaaS solution for automated data integration.

Matillion: A cloud-native ETL tool optimized for Redshift.

Amazon Kinesis: A service for real-time data streaming into Redshift.

Benefits of a Well-Architected Data Pipeline

A robust data pipeline for Amazon Redshift provides several advantages:

Efficiency: Automates complex workflows, saving time and resources.

Scalability: Handles growing data volumes seamlessly.

Reliability: Ensures consistent data quality and availability.

Actionable Insights: Prepares data for advanced analytics and visualization.

Conclusion

Designing an efficient data pipeline for Amazon Redshift is vital for unlocking the full potential of your data. By leveraging modern tools, adhering to best practices, and focusing on scalability and security, businesses can streamline their data workflows and gain valuable insights. Whether you’re a startup or an enterprise, a well-architected data pipeline ensures that your analytics capabilities remain robust and future-ready. With the right pipeline in place, Amazon Redshift can become the backbone of your data analytics strategy, helping you make data-driven decisions with confidence.

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file-formats-programming · 7 years ago

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Set Default Font While Rendering Project Documents & Metered Licensing Support inside .NET Apps

What’s new in this release?

Aspose team is pleased to announce the new release of Aspose.Tasks for .NET 18.5. This month’s release introduces support for Metered Licensing in the API. In addition, it also brings improvements to the API in terms of enhancements and bug fixes. Usage of Metered Licensing scheme is simple and can be used along with existing licensing method. The new licensing mechanism will be used along with existing licensing method. Those customers who want to be billed based on the usage of the API features can use the metered licensing. Since version 17.12, the API supports setting default font while converting project documents to PDF. This new release of API provides the same functionality while exporting project data to image formats such JPG, BMP, PNG and HTML as well. This release includes plenty of new features as listed below

Add a support of setting a default font when a project is rendering into JPG, BMP, PNG and HTML

Integrate Metered license into Aspose.Tasks for .NET

Newly created calendar could not be assigned to a task

StartDate and EndDate properties of SaveOptions are not working properly

Fix unnecessary thrown and caught exceptions on .mpp file opening

Fix CalendarException check order

Non-informative exception when saving calendar with no working times defined

Other most recent bug fixes are also included in this release

Newly added documentation pages and articles

Some new tips and articles have now been added into Aspose.Tasks for .NET documentation that may guide users briefly how to use Aspose.Tasks for performing different tasks like the followings.

Rendering Gantt Chart

Rendering Project Data to XAML

Overview: Aspose.Tasks for .NET

Aspose.Tasks is a non-graphical .NET Project management component that enables .NET applications to read, write and manage Project documents without utilizing Microsoft Project. With Aspose.Tasks you can read and change tasks, recurring tasks, resources, resource assignments, relations and calendars. Aspose.Tasks is a very mature product that offers stability and flexibility. As with all of the Aspose file management components, Aspose.Tasks works well with both WinForm and WebForm applications.

More about Aspose.Tasks for .NET

Homepage of Aspose.Tasks for .NET

Download Aspose.Tasks for .NET

Online documentation of Aspose.Tasks for .NET

#Metered Licensing Support #project rendering into JPG #rendering project to PNG #Improved .mpp file processing #Rendering Project Documents #.NET Project management

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birgitmidgette-blog · 6 years ago

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Flac And Ape To Mp3 Converter

I simply recently wanted to convert some audio recordsdata type a consumer intoflac format. Added changing FLAC to Ogg files. Nice and easy media files to MP3 converter app. Recently I've been working on some video samples that have to be converted to MP3 audio samples for device testing and All2MP3 actually helps rather a lot. It doesn't has many confusing phrases and gives full functions I want. Step 1: Drag your APE information onto this on-line converter. If you care the standard of the output audio, converting FLAC to Apple Lossless audio is really helpful. FlicFlac's quite simple interface is divided into three sections. The big panel to the left lets you choose or drag & drop the audio file(s) you want to convert. The buttons on the precise hand side allow you to choose how the audio file(s) will be transformed: to FLAC, to WAV, to MP3, to OGG, to APE. And the panel down at the bottom enables you to access some settings: APE to FLAC Converter delete input file, at all times on high, MP3 presets, Shell integration, open INI file, About. Hi thanks for the reply. I don&8217;t understand how massive an APE file normally is. I downloaded some Indian music; it&8217;s an album that I used to have on cassette. In the folder that I downloaded, there are 2 APE files, presumably each contains half of the album. It should play ok on GOM Player. I don&8217;t have any other APE file to strive. VLC media participant can not only convert between different video codecs but it also does the identical with converting audio codecs. Initially thought to play media only, this participant has many further features. Converting between audio codecs is kind of easy with the free software program. A lot of people don't use such options mainly as a result of they have no idea that they exist or there may be not need for them.

So you possibly can view this kind of conversion as a approach to short-circuit that process; you don't get one thing that's higher than the MP3 it was made from, but you might be getting one thing that may be handled as a master" going ahead. For purposes like tape trees" or reside-show traders the place no better unique" exists that is in all probability preferable as a result of additional trading can be achieved within the lossless format assuring that additional degradation has not occurred. Word the identify says ape and flac, but it could actually convert any audio codecs (comparable to m4a, oga) so long as ffmpeg support them. I just used Mediaeval CUE Splitter for the primary time and I liked it. It did the job completely and there was no want to alter any settings after the preliminary installation. I just selected the cue file of the flac album I've and pointed by which folder to place the individual tracks. In less than a minute the duty was accomplished. You have downloaded a present or two from DimeADozen and now you need to convert the ape information to mp3 to take with you in your iPod or MP3 player. This tutorial will stroll you through the steps to do exactly that, utilizing Home windows. notice: that is one other tutorial in the Freshmen information to lossless audio collection. Copy music tags (information about title, artist, album, and many others.) to transformed recordsdata. Shnsplit requires a listing of break-points with which to split an audio file. Conveniently, cuebreakpoints (part of cuetools) prints the break-points from a cue or toc file in a format that can be utilized by shnsplit. And now you'll have each observe on the album as an individualflac file. The originalflac file will stay as well - it is not deleted. Tremendous is a very fashionable and free audio converter. You may be shocked at the lengthy list of audio codecs it helps. When you have an audio file recorded in a rare format and also you want it converted to a extra widespread format, you need to check out the Super audio converter. Enter codecs embody MP3, MP2, WMA, WAV, WV, TTA, RM, RAM, OGG, MPP, M4A, FLAC, MMF, APE, AAC, AMR, and AC3. Foobar2000 is a properly remarked excessive-quality music player full of numerous elements. You can simply convert an APE file to FLAC with its helps. The following part exhibits you the detailded steps of find out how to convert APE to FLAC free with Foobar2000. In easy words, they imply that a number of the data is lost in MP3 file as a result of it is a lossy format, whereas there are not any losses for FLAC. Backing up Audio CDs is simple. Merely insert the disc, and FLAC to MP3 Converter will acquire observe information from the Web utterly mechanically. The device helps the Free DB music database, mechanically acquiring the artist, album and track information from the Internet. Have you ever heard Monkey's audio"? It is usually often known as APE audio file, a common accepted file format of lossless compression. It is a quick and easy solution to compress music. Through the process of encoding, no audio data could be discarded. That means it minimizes the lack of the audio knowledge while maximizes the audio high quality contrarily whenever you compress your file. That's the greatest a part of it but its essential drawback is it occupies quite a lot of house and uncommon units assist it. Via the context menu you'll be able to select the mp3 vacation spot listing. As a substitute of specifying a vacation spot directory, you may additionally select to robotically save the mp3 files in the identical directory as the source information. The cue listing, tags record, and error listing could be viewed while processing is happening. Some of the errors that might happen through the conversion processes are collected in this error APE to FLAC Converter listing. If a custom encoding string isn't recognized by Lame, error messages appear additionally. To test for FLAC or APE decoding errors only, test the menu merchandise 'Confirm solely'. I have examined the frontend with quite a lot of FLAC and APE files, however it's attainable that some files made with older or newer codecs trigger problems - just attempt to see. It runs on Windows 7, Vista and XP. But all applications convert to wav first, no less than on the fly. DeepSound might be used as copyright marking software for wave, flac, wma, ape, and audio CD. DeepSound also support encrypting secret recordsdata utilizing AES-256(Advanced Encryption Normal) to improve information protection. I changed -q from 6 to 5 for ogg within the script for clear and low-sized recordsdata. Recursively convert APE-files to FLAC. On the record of put in programs choose Free APE to MP3 Converter after which click on Uninstall. This may launch the uninstall wizard. Helps MP3, AAC (M4A), OGG, WMA, FLAC, ALAC, MPC, WAV, CDA, AVI, MP4, OGV, MPEG, WMV, M3U, PLS, and many others. I think as a result of to convertape recordsdata with it I would want to mount thecue in Daemon Instruments or a similar program after which rip the virtual CD that's created. As a way to convert APE to other normal audio information, audio-transcoder.com I wish to recommend a flexible and highly effective AnyMP4 Video Converter. AnyMP4 Video Converter is an expert APE Converter software program, which is able to help convert APE to MP3, FLAC, M4A, AAC, AIFF, WAV, and WMA, and so forth. for playback. Click Convert" to transform your FLAC file. Click on the orange Convert" button, the conversion job shall be started immediately.

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morningusa · 6 years ago

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Advocates have sounded the alarm about the dangers of Remain in Mexico program as report reveals at least 340 instances of rape, kidnapping, torture and other violent attacksMigrants, mostly from Central America, wait to board a van which will take them to a processing center, in El Paso, Texas, on 16 May. Photograph: Paul Ratje/AFP/Getty ImagesThe United States has sent more than 51,000 asylum-seekers to wait in dangerous border towns in Mexico as it advises its own citizens not to travel to those regions because of the severe threat of kidnapping, murder and violent crime.Advocates have been warning about the dangers of Remain in Mexico, or Migration Protection Protocols (MPP), since the program was announced in January. But their warnings have grown louder this week after a new report by Human Rights First revealed that there were at least 340 reports of rape, kidnapping, torture and other violent attacks against people returned to Mexico while they wait for their case to be heard in US immigration court.Ursela Ojeda, a policy adviser at the Women’s Refugee Commission, has visited the border multiple times to see how the policy is being implemented and said the new report was the “tip of the iceberg”.“When you see people not showing up for their court hearing in Remain in Mexico, you have to wonder what happened to the people who aren’t there,” Ojeda said.“There is no way to know why they just missed court – they could have been kidnapped, they could have been killed, they could have been put on a bus by the Mexican government and shoved to another part of the country with no way to get back.”The Human Rights First report surveys gruesome incidents, such as when a three-year-old boy from Honduras and his parents were kidnapped after being returned to Nuevo Laredo. The mother said the last time she saw her husband he was lying on the ground, beaten and bleeding and told her: “Love, they’re going to kill us.” The kidnappers released the three-year-old and his mother, who doesn’t know if her husband is alive.A Cuban asylum seeker told the group he saw a group of men stop a taxi outside a Mexican government immigration office and kidnap the four Venezuelan women and girl inside who were being sent to a shelter.Migrants, mostly from Mexico, are pictured sitting on the ground waiting near the Paso del Norte Bridge at the Mexico-US border, in Ciudad Juarez, Mexico, on 12 September. Photograph: Paul Ratje/AFP/Getty ImagesNuevo Laredo and Matamoros, two of the cities in the Tamaulipas state people are being returned to, are among the most dangerous in the world. The US State department issued a level 4 travel warning for the region because “violent crime, such as murder, armed robbery, carjacking, kidnapping, extortion and sexual assault is common”.Speaking at the White House on Tuesday, the acting head of US Customs and Border Patrol (CBP), Mark Morgan, ignored multiple questions about what the US government was doing to address the violence facing people sent back to Mexico.“We’re trying to overcome the message that the cartels have been putting out there that it’s going to be a free ride into the United States,” Morgan said. “We’re now sending the message that, if you’re coming here as an economic migrant, you’re not going to be allowed into the United States.”He celebrated the program for keeping people out of the US, where they would have been detained or released while they waited for their court date. He also said the program was stopping smugglers and improving due process – though advocates say it is doing the exact opposite.Shelters and other aid groups are overwhelmed by the migrants pouring into border towns and many are left to sleep and fend for themselves on the streets, without healthcare or work opportunities.Attorneys say it is nearly impossible to provide legal counsel. Some of the US-based attorneys who have crossed the border have received credible threats of violence and the US has not secured an agreement with Mexico to ensure US attorneys don’t get arrested for practicing law in Mexico without a license.At the end of August only 34 out of 9,702 people placed into the Remain in Mexico program had legal representation – just 0.4%, according to researchers at Syracuse University’s Transactional Records Access Clearinghouse (Trac).There is also little accountability for the government’s claim that vulnerable people are exempt from the program on a case-by-case basis. Human Rights First said the screening process is a “farce” and advocacy groups have seen vulnerable groups, including pregnant women and LGBT people, returned.Democratic 2020 presidential candidate, Julián Castro, on Monday crossed the border with eight gay and lesbian asylum seekers from Cuba, Guatemala and Honduras and a deaf Salvadoran woman and three of her relatives.“Hours after we were told LGBT and disabled asylum seekers would have their cases heard, they have been returned to Mexico,” Castro said in a tweet. “By law, these migrants are supposed to be exempt from the Remain in Mexico policy – but CBP had decided to ignore their due process. Outrageous.”In September, a Salvadoran woman who was eight-and-a-half months pregnant and experiencing contractions was apprehended by US border patrol, given medicine to stop contractions in a hospital, then returned to Mexico.In March, a 27-year-old with the cognitive age of a four-year-old child, was separated from the cousin and son he traveled with and sent back to Mexico. He was reunited with his mother in the US at the end of August after the Guardian reported on his case.This policy is colliding with other policies that have crippled the asylum system, including a ban on migrants seeking asylum at the border before seeking protection in another country.On Monday, the Women’s Refugee Commission and other advocacy groups sent a letter urging Congress to investigate the Remain in Mexico program’s “grave human rights and due process violations”.Advocacy groups also filed a lawsuit against it in February. The policy was blocked in April, but an appeals court temporarily allowed it to continue while the ruling is appealed.In the court case, the union which represents 2,500 employees in the DHS agency which interviews and adjudicates asylum claims, US Customs and Immigration Services, filed a brief describing Remain in Mexico as “entirely unnecessary” because the system could handle the increase in asylum claims.

from Yahoo News - Latest News & Headlines

#News #Blogger

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usuallyleftnight · 6 years ago

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from Yahoo News - Latest News & Headlines https://ift.tt/2IG9WMh

#Blogger

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batenchantingcollectorsong · 6 years ago

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from Yahoo News - Latest News & Headlines https://ift.tt/2IG9WMh

#Blogger

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loginworksoftware-blog · 7 years ago

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Data processing technologies are developing as rapidly as data collection is advancing, that is, at a continually accelerating rate. There’s a whole lot of technology that is breaking ground and offering new solutions in this exciting field.

Let’s take a look at what some of the latest cutting-edge technologies are for data processing systems.

DISTRIBUTED SYSTEMS ARCHITECTURE

Big data sets common in data processing today have limitations on computational power. The technology needed to deal with this is called distributed systems architecture.

MPP – Massive parallel processing, and Hadoop are two key technologies that are leading the industry in distributed systems architecture. Both feature the “shared nothing” technology that ensures autonomous operation.

The key difference between the two is that MPP is proprietary and rather costly to implement, while Hadoop is open source and can be integrated from very small, low cost applications, to very very large ones. While Hadoop is more recent than MPP, and allows flexibility and scalability, MPP remains slightly quicker.

MPP systems are provided by Teradata, Netezza, Vertica, and Greenplum. Oracle and Microsoft also have their own MPP systems.

Hadoop is a software project by Apache, containing a collection of software utilities that provide huge storage and processing power. Hadoop uses MapReduce to process large non-structured data sets, as the name implies, by a map function, and a reduce function within Hadoop. Many platforms can be built on top of the Hadoop framework. Non-proprietary applications available for use on Hadoop continue to develop in number and complexity.

QUERY OPTIMIZATION

Part of leading technology for data processing in a relational database is query optimization design. Query optimization is an automated process that attempts to provide the best possible answers based on a range of possible query plans. A query plan is a set of rules that a relational database uses to search data for the required parameters. Query optimization can effectively determine which searches are valid, and which will be most accurate, efficient, and timely.

Query hints may be built into query optimization, for example, a query on a GPS database might be selected for the fastest or the quickest route. A simplified example of query optimization is to imagine a query for the number of a certain car make and model, where the database could search all makes then all models, just all models, since the model subset automatically includes make. Query optimization would choose the latter.

NON-RELATIONAL DATABASES – NO-SQL

With the explosion of Big-Data, has come two more players in data processing technology, non structured and dark data.

Traditional databases have relational structure, usually called relational data base management systems (RDBMS), and are primarily built on SQL – structured query language, which is why non-relationship databases are coined No-SQL.

A Non-relational, No-SQL database can store and access un-structured data easily using a common data format called JSON documents, and can import JSON, CSV, and TSV formats.

A JSON, Javascript Object Notation is a lightweight data-interchange format, simple yet very powerful, since stored data need not be structured. The ability to store and access this non-structured data is what makes non-relational databases such important technology for data analytics systems. As a draw back, since they are non relational, the query itself has to draw a relation, so working with a non-relational database requires more skill.

Popular No-SQL databases used in data processing are MongoDB, Arango DB, Apache Ignite, and Cassandra.

DATA VIRTUALIZATION

Data storage and retrieval can sometimes deteriorate data due to the format that is required by the storage or retrieval. Unlike the traditional ETL (extract, transform, load) data method, in data virtualization the data remains where it is, a viewer accesses it in real time, from it’s existing location, solving the problem of format losses. An abstraction layer between viewer and source means that the data can be used without extraction and transformation.

A simplified example of data virtualization we can all identify with is the technology that drives images on social media. When you view an image on most social media platforms, normally you’re viewing it temporarily in real time on your mobile device or computer, but it exists in reality on the server of whichever social media you’re on. The file format is not relevant, nor do you need software related to the format to view it. The image is only converted into real data if it’s downloaded or via a screenshot, but the data is searchable and viewable without ever opening the file itself because of data virtualization.

STREAM PROCESSING AND STREAM ANALYTICS

Stream processing provides the capability for performing actions and analyzing events on real-time data. To do this stream processing makes use of a series of continuous queries. Stream processing allows data information to be processed before it lands in a database, which makes it incredibly powerful.

A good example to explain the process of live stream data analytics is the correlation of GPS data or driver mobile data with user locations. Uber’s apps have used this with great success to revolutionize private transport. Many bank applications also use stream processing to immediately alert users of suspicious activity.

Striim, IBM Infosphere, SQLStream, and Apache Spark are examples of common streaming database applications.

DATA MINING AND SCRAPING

Data mining and scraping technology is improving the content that data-processing systems have available in the data capture phase. Data mining in it’s simplest form essentially takes very large sets of data and extracts smaller more useful sets. Data mining software automizes the fundamental data processing function of finding patterns in large data sets, to create smaller subsets which match search query criteria. Web search is essentially a form of data mining we all use, taking the catalogue of websites and extracting only those that match search terms. Data mining may be applied to any type of data, text, audio, video, images. Data mining can be incredibly useful in finding information a company doesn’t currently have from large unstructured data sources.

Scraping is similar to mining, but where mining analyzes data for patterns, scraping collects data matching certain parameters.

MACHINE LEARNING AND AI

Data processing is a key field for advances in machine learning and AI. Data preparation involves cleaning and transforming the data for us. It often takes around 60 to 80% of the whole data processing time, with as little as 20% for analytics and presentation. The preparation of data is largely repetitive and time consuming, so it is a perfect area for implementation of the latest technology in machine learning. Processing large amounts of data, especially when complex text based data like searching contracts, reports, articles, machine learning is a one of the latest technological advancements that will improve the industry. Machine learning can match phrases in a range of documents based on connections that previously only humans could do. We think of AI and machine learning as way out there, but we actually interact with it every day on platforms like Google search. Haven’t you noticed how it seems to know more and more what you might be thinking, with scary accuracy? It’s a simple concept yet, currently one of the most extensive examples of machine learning data processing in everyday use. Machine learning is also growing steadily in user interaction devices on the web. Automated answers to users questions, along with databasing questions and responses for improved machine learning, helps organizations better serve their customers.

AI and machine intelligence is advancing faster than we can train people to work with it. An unbelievable 2 jobs are available for every AI graduate in the UK.

DATA COMPRESSION

Compression is driving data processing, with larger and larger data sets, any reduction in data sizes will improve experiences. Storage space and processing times can be reduced significantly with better compressions techniques, this in turn significantly reduces costs and improves performance. Facebook has released their latest compression tool Z standard on an open source platform. While previous storage compression devices had around 9 levels, Z standard has 22 levels. Data compression will help improve our storage and processing capacities.

SELF-DRIVING DATABASE MANAGEMENT SYSTEMS

The last and most significant technology in data processing systems is the self-driving database management system. A self-driving database can be run without user intervention, and totally managed by the user. Leading this technological advancement is Oracle’s Autonomous Database. Oracle’s founder claims it will revolutionize data management, since there is no need to apply patches, complete manual back-ups, or tune, it’s capable of total automation. Peleton is a good example of a leading open source autonomous database solution.

For data processing, it’s important to stay ahead of the trends. Check out some of the ideas we’ve discussed here to find out more about where your data processing systems can evolve.

#dataprocessing #bigdata #software #computer

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file-formats-programming · 7 years ago

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Aspose.Newsletter September 2018: New APIs for Working with Excel, Photoshop, Word, XPS & EPS Files

Aspose Newsletter for September 2018 has now been published that highlights all the newly supported features offered in the recent releases. It includes information about 5 New file format manipulation APIs launched this month; Excel Spreadsheet Processing APIs for PHP Applications, Manipulate Photoshop Files without using Photoshop, Perform Word Documents Processing Functionalities within Native C++ Applications, Manipulate Complex XPS Files Easily within .NET Applications, Converting EPS Files at its Best & many more.

Excel Spreadsheet Processing APIs for PHP Applications

Aspose.Cells for PHP via Java: Create, Manipulate or Convert Excel Spreadsheets in PHP applications without needing Microsoft Excel.

Manipulate Photoshop Files without using Photoshop

Aspose.PSD for .NET: Dynamically Create, Read, Edit & Convert Adobe Photoshop PSD and PSB files to raster image file formats.

Perform Word Documents Processing Functionalities within Native C++ Applications

Aspose.XPS for .NET: Aspose.Words for C++: Create, Build and Modify Word documents including advance document formatting within C++ applications, without using Microsoft Word. More details

Manipulate Complex XPS Files Easily within .NET Applications

Aspose.XPS for .NET: Create, Edit and Save existing as well as new XPS documents within any types of .NET application (C#, VB.NET, ASP.NET and J#).

Converting EPS Files at its BEST within .NET Applications

Aspose.EPS for .NET: Programmatically empower your .NET applications to read and convert PostScript (.ps) and Encapsulated PostScript (.eps) files into PDF documents.

Support of Nested Reports by LINQ Reporting Engine and Creating Snip Corner Rectangle within .NET and Java Word Applications

Aspose.Words now supports inserting contents of outer documents to your reports dynamically using LINQ Reporting engine. Just enable doc tag to check the template syntax and populate with data using LINQ Reporting in .NET and Java applications. Another exciting feature allows creating snip corner rectangles in word documents. There are several shape types added within “ShapeType” enumeration to choose from.

Support of Stock Chart and Improved PowerPoint Presentation Rendering

Aspose.Slides have massively improved chart management features within PowerPoint presentation and slides. This new release announces support of Stok chart as well as improving rendering performance for exported PDF and slide thumbnails within .NET, Java, C++, Reporting Services, JasperReports and SharePoint applications.

Support for HTTP Proxy in Email Clients and Converting Outlook Task to MHTML in .NET

Work with popular emailing protocols including SMTP, POP3 and IMAP using Aspose.Email for .NET. Aspose.Email for .NET already supports Socks Proxy but we have further enhanced this capability by providing support for HTTP Proxy as well. You can confidently use POP3, IMAP and SMTP email clients with HTTP proxy. Another new feature supports Outlooks’ Task conversion to MHTML and produce MailMessage like output. The MhtSaveOptions’ FormatTemplates lets you specify additional options to set the output format in desired format. Read more details

New Barcode Generation API for .NET and Java Applications

Aspose.BarCode API now enhances your barcode generation experience to a new level. The new APIs for .NET and Java are represented by BarcodeGenerator class that is simple to work with but powerful enough to give you maximum control over Barcode generation as per customized requirements. With this enhanced API, generate and work with barcodes in more flexible ways.

.NET Code Example: Add Text with Gradient Shading and Manipulate Tables inside PDF documents

Aspose.Pdf now supports applying gradient shading or pattern color space to the text. Aspose.Pdf.Color class now introduces a new property of PatternColorSpace that can be used to specify shading colors for the text. The PDF API also supports manipulating (adding and replacing) tables inside a PDF document. Read more details

.NET Code Example: Convert Microsoft Project MPP file to HTML

Aspose.Tasks for .NET now enhances the Project data conversion to HTML by providing capability to save html elements to separate files. You can also export the fonts, images and CSS styles to separate files while exporting project data to HTML. Read more details.

Code Example: Convert OneNote to PDF with Hyperlinks in .NET and Java

Aspose.Note has already supported converting OneNote documents to PDF but conversation with hyperlinks in images was not available. This OneNote API now lets users retain hyperlinked images during conversion to PDF in .NET and Java applications.

.NET Code Example: Render HTML to PDF, EPUB, SVG and MHTML

Aspose.HTML for .NET has massively improved the performance of HTML parsing module. A new vendor prefix -aspose- is introduced to customize behavior of CSS properties. Rendering of HTML documents to several other formats including PDF, EPUB, SVG and MHTML has been enhanced and respective Renderer classes have been extended. Read more

.NET Code Example: Read GML Files with and without Specifying Schema

spose.GIS for .NET now supports reading Geometry Markup Language (GML) file format either with and without specifying schema. It also provides support for reading data from ESRI File Geodatabase. Read more details.

Code Example: Import and Export 3D Scene into Draco 2.2 Format in .NET and Java

Aspose.3D now allows you to import as well as export any 3D Scene or Mesh into Draco 2.2 format. Several other enhancements have also been made to import glTF files with Draco compression in your .NET and Java applications as per the specified requirements. Read more.

Updates about new Product Releases

Aspose.Total for .NET - a compilation of Aspose latest .NET products

Aspose.Total for Java – a compilation of Aspose latest Java products.

Aspose.Total for Android – all the latest versions of Aspose Android APIs.

Aspose.Total for SharePoint – a compilation of Aspose latest SharePoint products.

Aspose.Total for Reporting Services– a compilation of Aspose latest Reporting Services products

Aspose.Total for JasperReports – The latest versions of Aspose JasperReports products.

Aspose.Total for C++ – The latest versions of our C++ products packaged into one product suite.

Aspose.Words for Reporting Services 18.7 – Upgraded Aspose.Words for Reporting Services to the latest version of Aspose.Words for .NET 18.7.

Aspose.Words for JasperReports 18.7 – Upgraded Aspose.Words for JasperReports to the latest version of Aspose.Words for Java 18.7.

Aspose.Diagram for .NET and Java 18.7 – Improved Rendering of Microsoft Visio files to Images and PDF

Supporting User Groups and Conferences

Aspose is sponsoring a number of user groups and upcoming events, including:

September 3-4: APIDays – Melbourne, Australia

September 15: DDD Melbourne – Melbourne, Australia

September 19-21: NDC Sydney – Sydney, Australia

Sponsor a user group? Get in contact: [email protected]

Collect a copy of Aspose Newsletter, July 2018 edition

Collect the English version of this newsletter

#PHP Excel Spreadsheet APIs #Manipulate Photoshop Files #C++ Word Documents Processing #Manipulate Complex XPS Files #Converting EPS Files .NET #mproved PowerPoint Presentation Rendering

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dayrisesolarenergy · 8 years ago

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Max Peak Power Trackers Increase Efficiency of Solar Panels in Street Lights

Street lighting in many municipalities accounts for almost half of expenditure. In addition to the energy bills, replacement and maintenance of low pressure sodium or metallic halide lamps pose extra prices and disruption of traffic. High Brightness LED (HBLED) primarily based solar powered street lights don’t rely upon the grid for electrical power and have the potential of saving billions of in electricity and upkeep prices. Despite their potentialities, solar street lights will not be commonplace as a result of of their value in comparison with standard options. Nevertheless, because the world appears for cleaner and greener options, solar powered street lights continue to profit from developments in the sector of semiconductors, each in photovoltaics and built-in microcontrollers, to provide cheaper implementations.While the solar radiates as much as 1000 Watts per sq. meter, a typical panel can convert solely 30% of irradiant energy to electricity. In most street lights, the energy harvested by day needs to be saved in a battery and utilizing standard cost controllers can result in additional conversion losses. As solar panels are p-n junctions, they don’t function as ultimate power sources. Instead, they’ve an working level at which the power produced is at its most and any motion away from this level will progressively lower the effectivity of the panel. In order to extract all of the energy solar panel is succesful of delivering, a completely digital system referred to as the Max Peak Power Tracker (MPPT) is required. The MPPT is a DC-to-DC converter that poses as an optimum load permitting the panel to function at its peak power state. Since the Max Peak Power Point (MPP) relies on the quantity of radiant sunlight and temperature of the panel, the MPPT should continually adapt to maximise the energy conversion.

Due to the traits of the panel, the present delivered stays regular earlier than falling dramatically as soon as the working voltage has been handed. The power produced by the panel (Voltage × Current) is highest at a particular level on the curve referred to as the knee level. When a traditional controller with out an MPPT is used to cost the 24V battery pack, the operation voltage of this PV panel is pressured to the battery voltage and in consequence the power produced by this explicit setup is round 140W. An MPPT system on the other hand, will enable the panel to function on the knee level permitting the power to be equal to 215W. In this explicit instance, the use of a MPPT system will increase the whole power harvested by 50%. Neglecting the losses in the wiring and electronics of the cost controllers and fuses, the present charging the battery in the above situation is eight.5A ((VPV Panel x IPV Panel)/VBattery = (41V x 5A)/24V) whereas the present from the solar panel is 5A.The location of the solar panel’s knee level modifications repeatedly primarily based on elements resembling the quantity of irradiant sunlight available, ambient temperature, and partial shading. Therefore, a dependable MPPT should continually replace itself to function on the various ultimate level. An MPPT succesful of actively sensing the voltage and present can measure the power and, by way of an iterative and corrective process, arrive on the max power level.

The zero slope level on the curve at all times interprets to the best power extractable from the PV panel. The worth of Itrim is various proportional to the magnitude of the slope to permit the system to rapidly method this level. Such an algorithm permits the MPPT to efficiently ‘hunt’ for the optimum working level whereas being agnostic to any panel and environmental traits.

The DC-DC conversion topology utilized by the MPPT will depend on the distinction in working voltage between PV panel and battery. Under regular charging circumstances, if the panel voltage is larger than the battery, a buck topology is used. Conversely, if the panel voltage is lesser, a lift topology will increase the charging voltage with a lowered present. In both case, the purpose of the MPPT is to keep up the present extracted from the PV panel on the peak level. This relationship is given as MPP = VPV(knee level) × IPV (knee level) = Vbattery × Ibattery + Conversion Losses. The charging present or Ibattery will depend on the obligation cycle of the DC-DC convertor which is ready by the controller primarily based on the MPPT algorithm.

The cost controller should additionally contemplate the kind of battery getting used. Street lighting purposes usually use both Lead Acid or Alkaline batteries as a result of of their excessive energy density to price ratio and talent to perform over a variety of temperatures. The voltage of these batteries needs to be continually monitored throughout the charging process to stop over charging which will result in harm in the shape of leaks or explosions. Likewise, undercharging of a battery over extended intervals of time can dramatically scale back the general capability of the battery. To prevent any product degradation, the system could disconnect all hundreds till the cost content material reaches a predetermined threshold. Properly carried out charging routines are the important thing to the longevity of a battery. The inherent means of the system to precisely management the present to the battery all through the course of the day permits superior charging routines and diagnostic features. When the quantity of irradiance reduces at nightfall, the MPP of the PV panel will scale back till energy can’t be successfully collected from the panel. This situation equivalent to diminished ambient light may be detected by the system eliminating the necessity for an ambient light sensor. Once the MPPT operation is suspended, the system can automatically change to driving the light supply.

HBLEDs are at this time’s widespread light sources for street-lighting purposes. Their elevated effectivity, low upkeep prices, and talent to breed a spread of shade temperatures are some causes behind their fast adoption. Frequent substitute of bulbs may be very expensive and improved life span of HBLED light engines is an impetus behind their use. Streetlights usually produce greater than 3000 lumens and wish massive numbers of particular person HBLEDs. Since the diodes are linked in collection to cut back present drift between particular person strings, the online ahead voltage of the LED string is normally better than the battery voltage. In such instances, a lift topology may be employed to create a step-up convertor. A switching step-up DC-DC convertor works beneath related ideas because the cost controller with the connection VLED String × ILED String = Vbattery × Ibattery – Conversion Losses. Because MPPT and LED driving require DC-DC convertors, related fixed present hysteretic controllers can be utilized for each designs. An adjustable hysteretic controller with fast response time can be utilized to create a buck or increase topology.

At the center of the design is a programmable System on a Chip (SoC), which uses onboard analog assets to continually measure VI traits of PV panel, battery and LED load. SoC gadgets just like the PowerPSoC comprise constructed in hysteretic controllers and gate drivers permitting for additional integration of the control loops.

The ‘PV Buck Hysteretic Controller’ switches the FET driver to maintain present by way of L1 regular with a good ripple. A real hysteretic controller will examine the rising and falling edges of the present to programmable thresholds. The decision of the present control is simply limited by the velocity of the hysteresis channel and the decision of the Digital to Analog Convertors (DACs) which might be producing the thresholds. A synchronous FET driver is used in the buck circuit to extend the effectivity of the system. As an extra price to effectivity trade-off, the driving force, MOSFET, and inductor L2 may be changed with a flyback Schottky diode.

The ‘LED Boost Hysteretic Controller’ receives suggestions from an analogous excessive aspect present sense amplifier to manage present by way of Boost inductor L3. An ultrafast diode D3 blocks the upper voltage at C3, which is used to drive the LED load. A proportional integral loop operating on the microcontroller of the SoC machine will allow correct regulation of LED present. This driver implementation with correctly chosen parts can conveniently yield greater than 95% effectivity. Just the MPPT performance on a PV panel cost controller can considerably enhance the energy harvesting functionality. Costs concerned in shifting away from standard cost controllers are instantly releaved by financial savings in discount of PV panel measurement. In addition, the excessive degree of analog management permits for higher lifespan from the battery lowering related upkeep prices. Integration of totally different elementary blocks into programmable SoC gadgets permits for important reductions in prices and time to market. As the world ushers in a green revolution, environment friendly and grid-independent street lights will illuminate the roads of tomorrow. Source by Rakesh Reddy

The post Max Peak Power Trackers Increase Efficiency of Solar Panels in Street Lights appeared first on Rural India Solar Energy-RISE Enterprise.

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file-formats-programming · 8 years ago

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Aspose.Newsletter July 2017: Add 40+ Barcodes in SQL Reports using Visual Studio 2017& Other News

Aspose Newsletter for July 2017 has now been published that highlights all the newly supported features offered in the recent releases. It also includes information about Add 40+ Barcodes in your SQL Reports using Visual Studio 2017, Filter data in a Worksheet and Calculate Formulas in a Workbook, Rendering Complex Portions of a Word Document to Image format in Cloud, Generate and Export 10 More Barcodes in JasperReports, code example for Rotating Text inside Table Cell of a .NET PDF Document and How to Add Custom Flags to an Email Message using IMAP?

Add 40+ Barcodes in your SQL Reports using Visual Studio 2017

Just load Aspose.BarCode.ReportingServices.dll into Visual Studio 2017 toolbox and design SQL reports with barcode in it. Aspose.BarCode for Reporting Services is a comprehensive .NET solution for rendering linear and 2D barcode images within Microsoft SQL Server 2000, 2005, 2008, 2012 and 2014 Reporting Services. These barcode labels with encoded non-English characters can be rendered in BMP, JPEG, GIF and PNG formats. Users can follow these simple instructions to configure Visual Studio 2017 with Aspose.BarCode. Additionally you can go through Aspose.BarCode for Reporting Services documentation for further learning and guidance. Download Free Trial.

Filter data in a Worksheet and Calculate Formulas in a Workbook

Aspose.Cells for Cloud is a platform independent REST API allowing developers to process Excel files on Cloud. The AutoFilter API filters data by Cell Value, Cell Color or by Icon and you can also calculate all formulas in a workbook using CalculateFormula API (Formula calculation engine is embedded in Aspose.Cells). Read more here.

Rendering Complex Portions of a Word Document to Image format in Cloud

Aspose.Words for Cloud now makes it possible to render portions of a word document, paragraph or section to an image format of your choice. Work with Microsoft Word Documents using the language and platform of your choice as it comes with SDKs written in 9 different languages. Read more

Generate and Export 10 More Barcodes in JasperReports

Aspose.BarCode for JasperReports adds 10 new popular barcode symbologies (SwissPostParcel, Italian Post 25, Matrix, Italian Post 25, Code32 etc) in this release. Aspose.BarCode for JasperReports now implemented a single predefined field that contains the set of fields from datasource. There is no more mixing of values for fields like CodeText and Symbology. Read more details

Code Example: How to Rotate Text inside Table Cell of a .NET PDF Document?

Table is one of the widely used elements inside PDF document to represent data and sometimes we have a requirement to rotate the text inside at 90 degrees inside and render it in the table cell. Try out this .NET code sample here.

Code Example: How to Add RichMediaAnnotation in a Java PDF Document?

Aspose.Pdf for Java supports adding RichMediaAnnotation to embed media files within the PDF document and sets video or audio player implemented as flash application. Access the complete source code example

Code Example: How to Add Custom Flags to an Email Message using IMAP?

Aspose.Email introduces a new feature in this release – adding custom flags to an email message on the server using the API’s ImapClient. Custom flags can be added to a message via AddMessageFlags method using ImageMessageFlags. Try out fully functional .NET and Java code examples here.

Code Example: How to Create PDF with PDF/A-1a in .NET and Java?

Aspose.Cells now supports PDF/A-1a compliance in PdfSaveOptions, thus allowing creating PDF with PDF/A-1a – Level A (accessible) conformance. It already supports PDF/A-1b – Level B (basic) conformance. These code snippets in .NET and Java demonstrate how to convert an Excel file to PDF compatible with PDFA-1a

Code Example: How to Print a PDF Document to Greyscale in .NET Applications?

PdfViewer class in Aspose.Pdf.Facades offers the feature to print PDF documents. Developers can print the file in default colors on a printer that is already configured with the system. Now users can also print PDF files in Grayscale using PrintAsGrayscale property in PdfViewer class. Try this code snippet for further details

Code Example: How to Export 3D Scene to GLTF 2.0 and Customize Non-PBR Material Conversion in .NET?

With Aspose.3D for .NET API – developers can start transition of 3D models to GLTF 2.0 to reap performance, portability and to gain quality benefits. GLTF 2.0 only supports PBR materials considering a flexible way for 3D content creators to specify the rendering characteristics of their surfaces. During the export of a 3D model, Aspose.3D API internally converts non-PBR materials to PBR materials. Try this code example

Updates about new Product Releases

Aspose.Total for .NET – a compilation of our latest .NET products.

Aspose.Total for Java – a compilation of our latest Java products.

Aspose.Total for Cloud – RTF compression implemented, and other enhancements.

Aspose.Total for Android – all the latest versions of our Android APIs.

Aspose.Total for SharePoint – a compilation of our latest SharePoint products.

Aspose.Total for Reporting Services– a compilation of our latest Reporting Services products

Aspose.Total for JasperReports – The latest versions of our JasperReports products.

Aspose.Words for .NET and Java – Improved rendering of SVG images within Word documents.

Aspose.Words for Android via Java 17.6 – Fully functional and features rich same like Aspose.Words for Java.

Aspose.Words for Android via Xamarin 17.6 – Fully functional and features rich like Aspose.Words for .NET.

Aspose.Words for JasperReports 17.6 – Improved export of static text in JasperReports.

Aspose.BarCode for Cloud 17.4 – Generate ClodablockF barcode and support of base64 encoded images.

Aspose.Tasks for .NET 17.5 – Improved Microsoft Project data writing to MPP file.

Aspose.Diagram for .NET and Java – Apply 3D rotation effects on Microsoft Visio shapes.

Aspose.OCR for .NET 17.6 – Improved OCR engine for faster processing of OCR (Optical Character Recognition).

Aspose.Slides for .NET, Java, SharePoint, Reporting Services and JasperReports 17.5 – Set Header / Footer on individual slides level for normal, layout and master slides.

Supporting User Groups and Conferences

Aspose is sponsoring a number of user groups and upcoming events, including:

July 21st: Tulsa TechFest 2017 – Tulsa, OK – USA

July 15: DDD Sydney – Sydney – Australia

August 12: DDD Melbourne – Melbourne – Australia

August 14-18: Visual Studio Live! Redmond – Redmond, WA – USA

Sponsor a user group? Get in contact: [email protected]

Collect your copy of Aspose Newsletter, November 2013 edition

Collect the English version of this newsletter

Collect the Japanese version of this newsletter

#Java .NET File Formats APIs #Add 40+ Barcodes SQL Reports #Visual Studio 2017 support #Filter data in a Worksheet #Calculate Formulas in a Workbook #word Document to Image in Cloud #Export Barcodes in JasperReports

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file-formats-programming · 8 years ago

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Aspose.Newsletter June 2017: Process Huge Sized PowerPoint Files Accurately & Other News

Aspose Newsletter for June 2017 has now been published that highlights all the newly supported features offered in the recent releases. It also includes information about Manipulating PowerPoint presentations and templates without Microsoft PowerPoint installed, Render DWF Files to PDF and aster Images, password protect Excel workbook VBA project in .NET & Java applications, adding checksum validation on codabar coded barcode in Java, Support for 64-bit Versions of Windows Included in Aspose.Cells for C++, how to render PDF to Image, PDF/A and DOCX formats in Java and many more.

Process Huge Monster Sized PowerPoint Files Quickly and Accurately With Just a Few Lines of Code

Manipulate PowerPoint Presentations and Templates WITHOUT Microsoft PowerPoint installed. Aspose.Slides offers standalone PowerPoint APIs to Create, Edit or Convert PowerPoint Presentation files to PDF, PDF/A, XPS, Images, HTML, ODP and other PowerPoint formats. Try out fully featured Demos, Examples, Plugins, Showcase projects and a comprehensive Documentation to take a start from. Download Free Trial

Password Protect Excel Workbook VBA Project in .NET and Java Applications

Programmatically protect VBA (Visual Basic for Applications) project of Excel Workbook with password and lock it for viewing. Also specify sort warning while sorting data and apply DBNum custom pattern formatting using Aspose.Cells for .NET and Java.

Render DWF Files to PDF and aster Images in .NET and Java Applications

Aspose.CAD for Java supports MLeader entity. You can easily work with DWF and DWG file formats that include improved conversion support for DWG file format as well in terms of exporting to PDF and images within .NET and Java Applications.

Adding Checksum Validation on Codabar Coded Barcode in Java

Aspose.BarCode for Java API now exposes the CodabarChecksumMode enumeration to specify the checksum mode. EnableChecksum property of the BarCodeBuilder class is needed to be set to TRUE before setting the checksum mode. Read more details here

Support for 64-bit Versions of Windows Included in Aspose.Cells for C++

Aspose.Cells for C++ now supports both 32-bit and 64-bit versions of Windows for desktop (e.g XP, Vista, 7, 8, 10) and server operating systems (e.g 2003, 2008, 2012). You may use Aspose.Cells for C++ APIs to build any type of 32-bit and 64-bit C++ application. Continue reading here

How to: Modify or Delete an Occurrence from a Recurrence Pattern in .NET and Java?

Aspose.Email APIs allows working with recurrence patterns for Outlook Calendar items. It allows you to modify or delete a specific occurrence from a recurrence pattern. This is achieved by adding an exception to the occurrences of a recurrence pattern as shown in .NET and Java code samples

How to: Render PDF to Image, PDF/A and DOCX formats in Java?

The improved Aspose.PDF for Java 17.3.0 API is more stable and capable of handling more complex documents similar structures. It allows you to convert PDF to Images, PDF/A and to various Microsoft Office formats including DOC, DOCX, XLS and PPTX format. Read more here

How to: Specify Horizontal and Vertical Resolution while Saving Word Document to Image Format in Cloud?

Aspose.Words for Cloud allows you to work with MS Word Documents using the language and platform of your choice. It comes with SDKs written in 9 different languages complete with running examples to get you started in no time. Now you can set the Horizontal and Vertical Resolution while converting a word document to an Image format. Read more

How to: Extract SWF Data from PowerPoint Presentations in Java?

Aspose.Slides for Java provides a facility for extracting flash objects from presentation. You can access embedded SWF file data inside presentation and can even extract it. Read more

Updates about new Product Releases

Aspose.Total for .NET – a compilation of our latest .NET products.

Aspose.Total for Java – a compilation of our latest Java products.

Aspose.Total for Cloud – RTF compression implemented, and other enhancements.

Aspose.Total for Android – all the latest versions of our Android APIs.

Aspose.Total for SharePoint – a compilation of our latest SharePoint products.

Aspose.Total for Reporting Services– a compilation of our latest Reporting Services products

Aspose.Total for JasperReports – The latest versions of our JasperReports products.

Aspose.Words for .NET 17.5 – Improved MailMerge and Metafile rendering performance.

Aspose.Cells for Cloud 17.5 – Delete comments in a Worksheet. Apply MS Excel 2007 themes and colors.

Aspose.Slides for .NET 17.4 – Improved print options including margins, print copies and print preview.

Aspose.BarCode for .NET and SSRS 17.4 – Improved GS1 Barcode generation and recognition.

Aspose.Tasks for Java 17.3 – Improved project recalculation as well as reading and writing MPP files.

Aspose.Diagram for .NET 17.4 – Detect format and read shape data of macro enabled Visio drawings.

Aspose.Diagram for Java 17.4 – Enhanced import of graphics in the Visio drawing.

Aspose.Words for JasperReports 17.4 – Improved bullet and number lists support in output Word document.

Supporting User Groups and Conferences

Aspose is sponsoring a number of user groups and upcoming events, including:

June 08-09: GeekOut 2017 – Tallinn, Estonia

June 12-15: Visual Studio Live! Washington – DC, USA

June 20-21: DeveloperWeek Conference 2017 NYC – New York, USA

Sponsor a user group? Get in contact: [email protected]

Collect your copy of Aspose Newsletter, November 2013 edition

Collect the English version of this newsletter

Collect the Chinese version of this newsletter

#Java .NET File Formats APIs #Process Huge PowerPoint Files #Render DWF Files to PDF #password protect Excel VBA project #add checksum validation on codabar code #render PDF to Image #PDF/A and DOCX formats

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