1624975620
10 Upcoming AI and Big Data Analytics Conferences to Attend in 2021
Attend the exciting AI and big data analytics conferences to develop business decision making
AI and big data analytics conferences, summits, and talks are a great way to share and enhance knowledge about the rapidly evolving technologies. Such events allow people and tech enthusiasts to interact with the world’s top leaders and develop their skills in related fields. The COVID-19 pandemic has undoubtedly postponed or cancelled many such conferences and forced organizers to move to virtual. However, as the world is returning to its own place, many events are scheduled to take place in-person.
This article provides a list of 10 upcoming AI and big data analytics conferences to attend in 2021. So, mark your calendar and choose which one to attend or submit to talks to.
**SubSurface: The Cloud Data Lake Conference **
RE.WORK Deep Learning 2.0 Virtual Summit
AAAI Conference on Artificial Intelligence
DATAcated Conference 2021
…
#artificial intelligence #big data #10 upcoming ai and big data analytics conferences to attend in 2021 #ai #big data analytics conferences to attend #2021
What is GEEK
Buddha Community
1624975620
10 Upcoming AI and Big Data Analytics Conferences to Attend in 2021
Attend the exciting AI and big data analytics conferences to develop business decision making
AI and big data analytics conferences, summits, and talks are a great way to share and enhance knowledge about the rapidly evolving technologies. Such events allow people and tech enthusiasts to interact with the world’s top leaders and develop their skills in related fields. The COVID-19 pandemic has undoubtedly postponed or cancelled many such conferences and forced organizers to move to virtual. However, as the world is returning to its own place, many events are scheduled to take place in-person.
This article provides a list of 10 upcoming AI and big data analytics conferences to attend in 2021. So, mark your calendar and choose which one to attend or submit to talks to.
**SubSurface: The Cloud Data Lake Conference **
RE.WORK Deep Learning 2.0 Virtual Summit
AAAI Conference on Artificial Intelligence
DATAcated Conference 2021
…
#artificial intelligence #big data #10 upcoming ai and big data analytics conferences to attend in 2021 #ai #big data analytics conferences to attend #2021
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
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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
1620474000
Cloud Analytics Migration: Go With The Need
The Cloud offers access to new analytics capabilities, tools, and ecosystems that can be harnessed quickly to test, pilot, and roll out new offerings.
The Cloud offers access to new analytics capabilities, tools, and ecosystems that can be harnessed quickly to test, pilot, and roll out new offerings. However, despite compelling imperatives, businesses are concerned as they move their analytics to the Cloud. Organizations are looking at service providers who can help them allocate resources and integrate business processes to boost performance, contain cost, and implement compliance across on-premise private and public cloud environments.
The most cited benefit of running analytics in the Cloud is increased agility. With computing resources and new tools available on-demand, analytics applications and infrastructure can be developed, deployed, and scaled up — or down — much more rapidly than can typically be done on-premises.
Unsurprisingly, cost reduction is seen as a significant benefit of cloud-based analytics. A complex algorithm processing large volumes of data may require thousands of CPUs and days of computing time, which can be prohibitive for companies without existing in-house compute and storage resources.
With the Cloud, organizations can rapidly access the required compute and storage power on demand and only pay for what they use. Research shows that migrating analytics to the Cloud can double an organization’s return on investment (ROI).
Standardization, cited as the third most crucial driver of migrating analytics to the Cloud, is strongly linked to the first two benefits of increased agility and reduced IT costs. Also, standardization helps organizations with simplified, streamlined IT management and shortened development cycles.
The Cloud offers access to new analytics capabilities, tools, and ecosystems that can be harnessed quickly to test, pilot, and roll out new offerings. For instance, organizations can take advantage of cloud-based data integration and preparation platforms with pre-built industry models. Leverage cloud services that offer powerful graphics processing unit (GPU)-based compute resources for complex analytics and tap into a collaborative ecosystem of data analysts within a federated data environment.
#big data #big data analytics #cloud migration #big data analytics platform #big data services #cloud analytics #big data solutions #big data analytics companies
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Silly mistakes that can cost ‘Big’ in Big Data Analytics
Big Data has played a major role in defining the expansion of businesses of all kinds as it helps the companies to understand their audience and devise their business techniques in accordance with the requirement.
The importance of ‘Data’ has been spoken very highly in the modern-day business. Thus, while using big data analysis, the companies must keep away from these minor mistakes otherwise it could have a major impact on their performances. Big Data analysis can be the silver bullet that can answer your questions and help your business to scale newer heights.
Read More: Silly mistakes that can cost ‘Big’ in Big Data Analytics
#top big data analytics companies #best big data service providers #big data for business #big data technology #big data mistakes #big data analytics