1624663320
New tools for Azure Data at Build 2021
If you’re building cloud-native applications you need a reliable, efficient data platform. Reliable microservices need a way to store state, whether in NoSQL key/value systems or massively scalable SQL databases. It’s no different in Azure, and Microsoft has been building out its cloud data offering during the past few years to give developers a mix of its own proprietary and open source data platforms.
At its Build 2021 developer event, Microsoft is unveiling some major changes to that data platform, aiming to make it more attractive to developers and offer features that will help build a new generation of applications.
Azure SQL adds an immutable ledger
One of the more fascinating items, the launch of a ledger feature for Azure SQL, makes more sense of the announcement that Microsoft is closing Azure’s blockchain-as-a-service platform. Much of enterprise blockchain development has focused on its role as an immutable source of transaction data, where systems and processes need a trustworthy record of what has been done and by whom.
This is where modern ledgers come in, as a way of creating that blockchain-like verification model. Here, however, the ledger is just another table in a familiar database that can provide that point of trust without requiring a complete redesign and redevelopment of your application. There’s no point in replacing an existing database with a complex, relatively slow blockchain if all you need to do is add a new cryptographically secure ledger table to an existing database to manage that data.
There’s no need to learn new skills or implement new tools, as this is all part of the familiar SQL Server running on Azure. Existing applications can be updated to add ledgers without needing new code. It can all be managed inside the database with database developers and administrators using existing database management tools.
#build 2021 #azure data #azure
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1624692167
Top 10 Big Data Tools for 2021!
In today’s tech world, data is everything. As the focus on data grows, it keeps multiplying by leaps and bounds each day. If earlier mounds of data were talked about in kilobytes and megabytes, today terabytes have become the base unit for organizational data. This coming in of big data has transformed paradigms of data storage, processing, and analytics.
Instead of only gathering and storing information that can offer crucial insights to meet short-term goals, an increasing number of enterprises are storing much larger amounts of data gathered from multiple resources across business processes. However, all this data is meaningless on its own. It can add value only when it is processed and analyzed the right way to draw point insights that can improve decision-making.
Processing and analyzing big data is not an easy task. If not handled correctly, big data can turn into an obstacle rather than an effective solution for businesses. Effective handling of big data management requires to use of tools that can steer you toward tangible, substantial results. For that, you need a set of great big data tools that will not only solve this problem but also help you in producing substantial results.
Data storage tools, warehouses, and data lakes all play a crucial role in helping companies store and sort vast amounts of information. However, the true power of big data lies in its analytics. There are a host of big data tools in the market today to aid a business’ journey from gathering data to storing, processing, analyzing, and reporting it. Let’s take a closer look at some of the top big data tools that can help you inch closer to your goal of establishing data-driven decision-making and workflow processes.
Apache Hadoop
Apache Spark
Flink
Apache Storm
Apache Cassandra
…
#big data #big data tools #big data management #big data tool #top 10 big data tools for 2021! #top-big-data-tool
1620466520
Your Data Architecture: Simple Best Practices for Your Data Strategy
If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.
If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.
In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.
#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition
1624399200
Top 10 Big Data Tools for Data Management and Analytics
Introduction to Big Data
What exactly is Big Data? Big Data is nothing but large and complex data sets, which can be both structured and unstructured. Its concept encompasses the infrastructures, technologies, and Big Data Tools created to manage this large amount of information.
To fulfill the need to achieve high-performance, Big Data Analytics tools play a vital role. Further, various Big Data tools and frameworks are responsible for retrieving meaningful information from a huge set of data.
List of Big Data Tools & Frameworks
The most important as well as popular Big Data Analytics Open Source Tools which are used in 2020 are as follows:
- Big Data Framework
- Data Storage Tools
- Data Visualization Tools
- Big Data Processing Tools
- Data Preprocessing Tools
- Data Wrangling Tools
- Big Data Testing Tools
- Data Governance Tools
- Security Management Tools
- Real-Time Data Streaming Tools
#big data engineering #top 10 big data tools for data management and analytics #big data tools for data management and analytics #tools for data management #analytics #top big data tools for data management and analytics
1624663320
New tools for Azure Data at Build 2021
If you’re building cloud-native applications you need a reliable, efficient data platform. Reliable microservices need a way to store state, whether in NoSQL key/value systems or massively scalable SQL databases. It’s no different in Azure, and Microsoft has been building out its cloud data offering during the past few years to give developers a mix of its own proprietary and open source data platforms.
At its Build 2021 developer event, Microsoft is unveiling some major changes to that data platform, aiming to make it more attractive to developers and offer features that will help build a new generation of applications.
Azure SQL adds an immutable ledger
One of the more fascinating items, the launch of a ledger feature for Azure SQL, makes more sense of the announcement that Microsoft is closing Azure’s blockchain-as-a-service platform. Much of enterprise blockchain development has focused on its role as an immutable source of transaction data, where systems and processes need a trustworthy record of what has been done and by whom.
This is where modern ledgers come in, as a way of creating that blockchain-like verification model. Here, however, the ledger is just another table in a familiar database that can provide that point of trust without requiring a complete redesign and redevelopment of your application. There’s no point in replacing an existing database with a complex, relatively slow blockchain if all you need to do is add a new cryptographically secure ledger table to an existing database to manage that data.
There’s no need to learn new skills or implement new tools, as this is all part of the familiar SQL Server running on Azure. Existing applications can be updated to add ledgers without needing new code. It can all be managed inside the database with database developers and administrators using existing database management tools.
#build 2021 #azure data #azure
1624072560
These 10 Powerful Data Analytics Tools are Ruling 2021
Let’s explore some incredible data analytics tools of 2021
Data, data, data! We have so much data around us and everybody seems to be talking about it everywhere. The world is increasingly driven by data. Hence, data analytics is an important element that helps organizations to deeply comprehend their business such as what is working or which areas need attention and improvement. To gain proper understanding, data analytics tools assist companies in gaining insights from data through reports, visualizations, applications, etc.
Without data analytics platforms, data analysts or data scientists cannot perform their tasks effectively. Data analytics tools, together with the right infrastructure and skills, data scientists can identify key trends and patterns in data, which can help in forming data-driven strategies.
With a plethora of tools available in the market, it becomes difficult to choose the best one. But remember, the best one depends on the needs of data analysts, the objective of organizations, and many other factors. We bring to you top data analytics tools for this year that can help in effective data-driven decision-making.
Python
Qlik Sense
R
Chartio
…
#big data #latest news #top list #data analytics tools #these 10 powerful data analytics tools are ruling 2021 #data analytics tools are ruling 2021