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What are Data Lakes

Home > BlogsWhat are Data Lakes?

What are Data Lakes?

May 21, 2021

Global Data 365 is composed of highly skilled professionals who specialize in streamlining the data and automate the reporting process through the utilization of various business intelligence tools.

What are Data Lakes

The huge volume of data collected by today’s company has entailed a drastic change in how that data is stored. Data stores have expanded in size and complexity to keep up with the companies they represent, and data processing now needs to stay competitive, from simple databases to data warehouses. As enterprise businesses collect vast amounts of data from every imaginable input through every conceivable business feature, what started as a data stream has developed into a data flow.

A new storage solution has emerged to resolve the influx of data and the demands of enterprise businesses to store, sort, and analyse the data with the data lake.

What is a Data Lake and What Does It Contain?

The foundation of enterprise businesses is a collection of tools and functions that provide useful data but seldom in a structured format. The company’s accounting department may use their chosen billing and invoicing software, but your warehouse uses a different inventory management system. Meanwhile, the marketing team is dependent on the most efficient marketing automation or CRM tools. These systems rarely interact directly with one another, and while they can be pieced together to respond to business processes or interfaces through integrations, the data generated has no standard performance.

Data warehouses are good at standardizing data from different sources so that it can be processed. In reality, by the time data is loaded into a data centre, a decision has already been taken about how the data will be used and how it will be processed. Data lakes, on the other hand, are a larger, more unmanageable system, holding all of the structured, semi-structured, and unstructured data that an enterprise company has access to in its raw format for further discovery and querying. All data sources in your company are pathways to your data lake, which will capture all of your data regardless of shape, purpose, scale, or speed. This is especially useful when capturing event tracking or IoT data, while data lakes can be used in a variety of scenarios.

Data Collection in Data Lake

Companies can search and analyse information gathered in the lake, and also use it as a data source for their data warehouse, after the data has been collected.

Azure Data Lake, for instance, provides all of the features needed to allow developers, data scientists, and analysts to store data of any scale, shape, or speed, as well as perform all kinds of processes and analytics across platforms and languages. Azure Data Lake simplifies data management and governance by eliminating the complications of consuming and storing all of your data and making it easier to get up to speed with the queue, streaming, and interactive analytics. It also integrates with existing IT investments for identity, management, and security.

That being said, storage is just one aspect of a data lake; the ability to analyse structured, unstructured, relational, and non-relational data to find areas of potential or interest is another. The HDInsight analytics service or Azure’s analytics job service can be used to analyse data lake contents.

Analytics Job Service

Data lakes are especially useful in analytical environments when you don’t understand what you don’t know with unfiltered access to raw, pre-transformed data, machine learning algorithms, data scientists, and analysts can process petabytes of data for a variety of workloads like querying, ETL, analytics, machine learning, machine translation, image processing, and sentiment analysis. Additionally, businesses can use Azure’s built-in U-SQL library to write the code once and have it automatically executed in parallel for the scale they require, whether in.NET languages, R or Python.

Microsoft HDInsight

The open-source Hadoop platform continues to be one of the most common options for Big Data analysis. Open-source frameworks such as Hadoop, Spark, Hive, LLAP, Kafka, Storm, HBase, Microsoft ML Server, and more can be applied to your data lakes through pre-configured clusters tailored for various big data scenarios with the Microsoft HDInsight platform.

Learn More About Microsoft HDInsight

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Future-Proof Data

For companies, data lakes reflect a new frontier. Incredible possibilities, perspectives, and optimizations can be uncovered by evaluating the entire amount of information available to an organization in its raw, unfiltered state without expectation. Businesses may be susceptible to data reliability (and organizational confidence in that data) and also protection, regulatory, and compliance risks if their data is ungoverned or uncatalogued. In the worst-case scenario, data lakes will have a large amount of data that is difficult to analyse meaningfully due to inaccurate metadata or cataloguing.

For companies to really profit from data lakes, they will need a clear internal governance framework in place, as well as a data catalogue (like Azure Data Catalogue). The labelling framework in a data catalogue aids in the unification of data by creating and implementing a shared language that includes data and data sets, glossaries, descriptions, reports, metrics, dashboards, algorithms, and models.

Built your BI Infrastructure

The data lake will remain a crystal-clear source of information for your company for several years if you set it up with additional tools that allow for better organization and analysis, such as Jet Analytics.

At  Global Data 365, you can contact our team to find out more information on how to effectively organize your data or executing big data systems seamlessly.

Schedule a demo with our BI experts

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Dynamics GP reporting

Home > Blogs > How To Automate Reporting From Dynamics GP?

How To Automate Reporting From Dynamics GP?

March 26, 2021

Global Data 365 is composed of highly skilled professionals who specialize in streamlining the data and automate the reporting process through the utilization of various business intelligence tools.

Dynamics GP reporting

If you do not fully understand the complex underlying data structure of over 1300+ tables and 22500+ fields, then Dynamics GP Reporting can prove to be a problem. Recently, Microsoft Dynamics ERP software has evolved to Dynamics 365 Business Central cloud, and it brings versatility and easy access for small businesses throughout the world. Reporting challenges are bound to arise due to the complex nature of the data structure field. All ERP solutions are made of back-ends that are hard to operate for anyone who is not a specialized expert or administrator.

ERP solutions, like Dynamics GP, are designed to optimize business processes and data storage. Its main focus is on storing data, not extracting it. Microsoft Dynamics GP has advanced and evolved in the ways users receive their reports. Management Reporter has advanced to the new setting providing an Excel-integrated tool known as Jet Basics; Smart List has for a long time provided the export-to-spreadsheet option, and Power BI is coming out as a great tool for data visualization. Similar to other Microsoft Dynamics solutions, Dynamics GP is evolving when it comes to providing built-in and extra tools for users to get data visualization.

According to the feedback received from thousands of users from across the globe, users complain about the reporting and analytics in Dynamics GP, as it fails to meet functional reporting requirements outside of financial reporting. The reason behind this could be the complex GP data structure or the unavailability of specialized experts. In any way, depending on these tools is costing users their time and money. Companies are forced to recruit Dynamics GP experts because of the lack of access to one organized, instant visualization of the data.

If you face limitations in your financial systems while regularly using Dynamics GP to optimise processes, then the main challenges that you may be facing in operational reporting are:

Challenges in reporting from Dynamics GP

The four main challenges faced by businesses in reporting from Dynamics GP are:

– SSRS Programming:
Programming in SSRS is costly and slow due to a large amount of data, intricate linking tools, and the programming skill needed to form a report.

– Managing Unorganized Data in Excel:
In a company, every person has their own spreadsheets, which can result in unreliable data and security risks. As every department has different approach in completing its operations.

– Power BI Views:
Power BI can be difficult to navigate for someone who is not a technical expert due to the compilation of data that results in a single view and the rewriting needed to change the views.

– Constructing OLAP Data Cubes:
Constructing OLAP data cubes can be hard and time-consuming as it requires a specialized expert who is familiar with both SSAS data cubes and Dynamics GP.

Keeping these challenges in mind, Global Data 365 has a solution to overcome your Dynamics GP users’ time, money, and effort, all the while creating better reports. It begins with Jet Analytics, the fundamental Dynamics GP data solution.

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Want to try Jet Reports?

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for 30 Days

How Global Data 365 helps with Reporting in Dynamics GP?

Global Data 365 provides better services and implementation to address the obstacles using dynamics that lead your business to success. Without the need for developers and costly experts, Jet Analytics is a complete business intelligence solution designed to obtain quick, customizable reports and dashboards in Excel. And it is possible to do it yourself. Jet Analytics puts all the Dynamics GP data into one and organized it in one location using a pre-built data warehouse, OLAP data cubes, and dashboards.

If it is paired with a user-based front-end reporting tool, it makes it possible for users to view, assemble, and prepare the data, so you can benefit from the robust data visualization tools of Power BI and be more effective with operational reporting and analysis. The Jet Data Manager is used as a back-end tool by Jet Analytics to configure turnkey data warehouses and OLAP cubes to assist you monitor and organize your Dynamics GP data.

Jet Analytics provides users to use Excel for all your reporting requirements with one operating location for your reporting, but it offers one source and data management system to handle the delivery, security, business measures, calculations, and run-time of such reports. So, do not let your existing obstacles in operational reporting keep you from receiving immediate insight into your data. Companies can now improve the visibility of real-time data to help Dynamics GP users turn efficient and enjoy Jet Analytics full capabilities.

We, at Global Data 365, offers free one month license of Jet Analytics for you to test it with your Dynamics GP database and see the value it brings into your reporting process. Contact Us to order your trial license now.

Get 30 days free upgrade to Jet Reports.

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