Tag: Data Analysis

webinar
AI, Data Lake, Data Management, Delta Lake, General

InleData Webinar– The Next Gen Delta Lake Platform to Accelerate Your Business

Data has been in the light of ever-increasing profitability for any organization or business. It can be easily said that any business having a fast and easy data analysis process will have the upper hand in making a profit for the company at a flash speed. 

 

Without the manipulation of data, it becomes next to impossible to implement a sound business strategy. However, when one has sufficient data, unprocessed and unorganized data leads to nowhere. This is why Data management is a prerequisite for overall business growth.

 

The genuine concern is that do you have sufficient knowledge before choosing a data management tool?

 

This Webinar strives to help you comprehend all the needed factors before getting started with data analytics.

 

It will also teach you some of the salient features present in InleData, which will help you manage your business effectively.

 

Get to know how InleData can ingest data from multiple sources to gain a holistic view of their business ecosystem. 

 

As your data continues to grow, you’re left to figure out how to have a unified system to store data for several types of usage scenarios, including analytical products or machine learning workloads. 

 

Through this Webinar, you’ll also understand the critical differences between Delta Lake, Data Lake, and Datawarehouse and how a Delta Lake solution simplifies your data analytics and architecture. 

 

You will understand duplicate data and how InleData DEDUP helps manage such data without losing the original.

 

Our experts will also give you an insight into the security issues a data management tool incurs and how InleData state of the art security systems handle them.

 

Join us on Feb 24, 2021, at 11 AM EST to explore the understanding of data management and why it is so valuable and unravel how to integrate it with your workforce and business.

 

inledata-webinar

 

InleData Webinar Key Takeaways:

 

  • Data Management: Opportunities, Challenges, and Strategies
  • How a Delta Lake Solution can transform your business
  • Critical Differences: Delta Lake vs. Data Lake vs. Data Warehouse
  • How to Choose the Right Solution for Your Stack
  • Introduction and Demo of InleData

 

Webinar Details: 

Title: InleData – The Next Gen Delta Lake platform to accelerate your business

Date: Feb 24, 2021

Time: 11 AM EST | 09:30 PM IST

Duration: 30 Minutes 

 

Get yourself ready to dive into the ocean of possibilities of making your business grow, prosper, and profitable. 

Please register here

Introducing-InleData
AI, Delta Lake

Introducing InleData: The New Pioneer in Data Analytics

Introducing InleData: The New Pioneer in Data Analytics 

After a hectic year that 2020 brought to us, we are all waiting for a pleasant and warm 2021. CEPTES will be one of the first to open up the much-awaited news, happy news. With the beginning of 2021, CEPTES begins InleData Solutions. InleData is basically a very advanced data analytical service that gathers raw data without any transitional loss to provide a holistic report. The process, however, may on a first glance, looks a little complicated, but in reality, it is effortless and user friendly.

 

Wherefore InleData?

InleData is powered by some of the industry benchmarking AIs and MLS. Artificial intelligence is the future cause it is much more precise with less amount to no errors. This advanced technology also helps in categorizing types of data across a diverse list. It has always been a burden for many to classify data and manage them to determine whether it is essential or not. But with InleData, this headache is omitted.

 

Features of InleData 

Moreover, it can be effortless for InleData to derive useful information from data that was once thought to be useless by many. Simplicity, cloud compatibility, adaptability, speed, and affordability are among the principal factors on which InleData has been designed. It gives the provision for you to observe reports at any time and while processing in another term, “ Live Reports. “ InleData also takes care of the front of security. Data is a beneficial and a high-risk possession for most companies and industries. InleData thus keeps privacy and security at the most initial concern. No Data will be either lost or held by InleData. The real-time monitoring and visualization system supported through multiple storages, and API endpoints shall transform the delta data load without a full scan.

 

How It Will Help You?

The main motive for CEPTES to bring up the InleData solution is providing an advanced approach towards bringing a holistic intelligence rooted in unstandardized data. This lets companies engulf into a robust Mechanism with the support for streaming, batch unification, recovery, unique DEDUP, and compaction. Icing the tip of such a wonderful cake comes to a solution that effectively solves the need for legacy systems, outdated operability, and expensive EDWs. 

To sum up, in short, InleData will make your work easy by being,

  • Very Adaptive
  • Use of AI/ML
  • Can be easily implemented on various private and public cloud platforms
  • Easy to set up
  • Easy to use and customize
  • Cost-Effective
  • Use of advanced frameworks such as Spark
  • It can be used by any enterprise that supports multi-cloud.

 

CEPTES has long been a significant source in providing some class-leading and well-regarded solutions for multiple Fortune 500 companies divided across diverse industries. It puts the notion of making some of the most complicated tasks simple to rest assured and take care of other business sectors. As a 10-year-old Salesforce partner company with 3 global offices and has more than 200 customers divided across 5 continents. CEPTES has long been providing data and files management solutions like DataArchiva, DataConnectiva, XfilesPro, and Databakup to the business of any size and type, which has granted a peaceful place among customers badging it an honorary status-quo. 

How a Data Lake Solution can be a game changer for your business
Data Lake, Salesforce

How a Data Lake Solution can be a game-changer for your business?

“There was a Time When it was Impossible to Store Data Without Analyzing. But now, with the advent of Cloud Computing, You Can Load Data Without Analyzing It First. That’s How Data Lake Works and Built on the Philosophy- Load First, Think Later,” unlike Data Warehouse- Think First, Load Later.” 

More than 90% of all business data are in unstructured formats. 

Businesses today need unstructured data as they don’t want only to analyze their operational data. 

At one time, it was impossible to store and analyze such data. 

But now it is with the advent of Cloud Computing that allows loading unstructured data with predefined business requirements easily. 

What Really is Data Lake? Why Does it Even Matter?

Data Warehouse THINK FIRST, LOAD LATER

At first, there were Databases, then came Data Warehouse, and now we have Data Lake. Data Lake is an emerging technology that has redefined Data extraction, storage, and analysis.

Let us first understand what is Data Warehousing. Data Warehouse is a centralized location where all the data of an enterprise company is stored. But before you store the data, you need to define the business need.

But why do we want to store data in a Data Warehouse?

Suppose we take Walmart, which is the largest retail outlet in the US. 

They have these business requirements-

Which products were sold the most in the last 6 months?

Who were the customers that bought these products?

Where are these customers located?

Different kinds of data, like a customer, product, and sales, are stored in different source systems. 

Similarly, when you visit a retail store or a shopping mall and reach the Point of Sales (POS). POS is a place where you make the purchase, and it’s the time and place where a retail transaction is completed. 

At this point, your data enters into the systems and gets stored in various transactional systems. If you want to merge and analyze this data from a central location, you first extract this data. 

So, the data you need for analysis can reside in any of these systems. It can be in Sales, HR, or inventory source systems. 

Once the data is loaded into Data Warehouse, business analytics and reporting happen on top of this data, later passed on to ETL (Extraction, Transform, Load).

From ETL, you collect the data based on your requirements and finally get stored in the Data Warehouse. Once data is loaded into Data Warehouse, then business analysis and reporting happen on top of this data. Hence Data Warehouse works on the philosophy of THINK FIRST, LOAD LATER. 

This means you first need to know what data you need, and based on your requirements; you fetch the data. 

Data Lake- LOAD FIRST, THINK LATER

Today, when you talk about Business Intelligence or Analysis, you’re mainly talking about a Data Warehouse (mostly supports structured data). Now with a fast-growing technological advancement, data volumes are increasing exponentially. 

Today every small system, sensor, or machine generates insightful data. But this is not structured data. This data includes unstructured data, sensor data logs, online repositories, web servers, databases, APIs, and a lot more. 

Businesses today require unstructured data as they don’t want to analyze only its operational data. At one time, it was impossible to store without analyzing such data. But now, with the help of Data Lake, loading unstructured data has become a lot easier. 

Built on the philosophy of- LOAD FIRST, THINK LATER, you can now load whatever data you have and later analyze how you can use this data. Data Lake accepts all kinds of data structured & unstructured logs, images, everything. It stores everything in its raw state. 

Data Lake acts as a central reservoir that stores without any pre-analysis of data. Once data is in Data Lake, you can use it for multiple purposes. 

 How Data Lake Solutions can Impact Your Business?

  • Data Lake allows all employees to access data, not just managers or upper management. An employee has the option of using only those that are essential for his department. An enterprise has the ability to keep large amounts of data for a considerable price.
  • Companies can easily hoard their data since Data Lakes offers a huge variation in the types of data. 
  • Organizations can store their data in a native format and easily pull required data to any future system. 
  • Various departments in any enterprise can access quality data for real-time analytics.
  • Data Lake not just supports SQL but also multiple languages.
  • It can preserve raw data for data exploration and data science.
  • Data Lake handles data at a very high speed giving faster results.
  • Data Lake offers scalability at a very affordable price and can store huge amounts of data like multiple media, social data, chat, binary, and other data forms.

Verdict- Which is Better and What to Choose?

Both should co-exist as all your requirements cannot be fulfilled solely by Data Lake or Data Warehouse. So ideally, you should first build a Data Lake and then derive various Data Warehouses from it. Data Lake is a good platform for advanced data analytics. With technologies like Machine Learning and AI, you can process any data, which is why Data Scientists come into the picture now. Data Lake and Data Warehouse are different but work together fulfilling your business requirement. To know more, connect with us to scale up your business.