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Introduction: Outsourcing business intelligence (BI) can offer several benefits to organizations. Here are some of the key advantages: Cost Savings: Outsourcing BI can be more cost-effective than developing an in-house BI team. By outsourcing, you can avoid hiring and training specialized staff, purchasing expensive software licenses, and investing in infrastructure. Outsourcing providers often offer flexible pricing models, allowing you to scale the BI services based on your needs, which can result in cost savings. Access to Expertise: BI outsourcing gives you access to a pool of skilled professionals with data analysis, reporting, and visualization expertise. Outsourcing providers typically have experienced teams well-versed in industry best practices, emerging technologies, and data management techniques. This expertise can help you derive valuable insights from your data and make informed business decisions. Focus on Core Competencies: By outsourcing BI, you can free up your internal resources and focus on your organization’s core competencies. BI implementation and maintenance require specialized knowledge and ongoing efforts. Outsourcing allows you to delegate these responsibilities to external experts, enabling your team to concentrate on other strategic areas of your business. Scalability and Flexibility: Business needs often change over time, requiring adjustments to the scope and scale of BI initiatives. […]

Informatica allows SQL to be executed in the source database and the results can be pulled by the PowerCenter. By using SQL Override in Informatica, you can read only the required columns from the table instead of reading all columns from a table and can remove all unnecessary ports. You can also use customized logic in the SQL override.DataTerrain, with years of experience and reliable experts, is ready to assist. We have served more than 250 customers in the US and over 70 customers worldwide. We are flexible in working hours and do not need any long-term binding contracts.

Along with setting up HCM cloud solutions for our clients, we also have experience with PowerBI migration and other business needs.

DevOps is a model of software development that uses the principles of product mindset, agile development, and cross-functional collaboration to increase productivity and efficiency. DevOps seeks to foster collaboration between development and operations teams. It encourages engineers to work across the entire lifecycle of the application. QA, performance, design, and security are integrated into the development process from the very beginning. Why Is DevOps Important? DevOps is all about breaking down the barriers between siloed teams. In particular, it seeks to connect the efforts of the development and operations teams. Adopting a mindset that favors collaboration between these teams allows organizations to deliver more reliable software, faster. However, DevOps is not just about a mindset shift. It also requires reliance on the automation of processes that are historically slow and manual. To effectively implement DevOps, teams must understand the practices that facilitate successful software development. Utilizing continuous integration, building apps as microservices, improving logging and monitoring in production, and automating QA are crucial parts of an effective DevOps strategy.  Services like AWS, Azure, GitHub, and CircleCI provide the tools needed to transform businesses into DevOps-oriented organizations.  How Can AWS DevOps Streamline Your Organization? Here are some of the ways that […]

HCM Cloud makes it easier for businesses to adopt new functionalities and features.

Snowflake provides multiple options for data loading. The best solution may depend upon the volume of data to load and the frequency of loading. Bulk Loading Using the COPY Command – This option enables loading batches of data from files already available in cloud storage, or copying (i.e. staging) data files from a local machine to an internal (i.e. Snowflake) cloud storage location before loading the data into tables using the COPY command.Bulk loading relies on user-provided virtual warehouses, which are specified in the COPY statement. Users are required to size the warehouse appropriately to accommodate expected loads.Continuous Loading Using Snowpipe – This option is designed to load small volumes of data (i.e. micro-batches) and incrementally make them available for analysis. Snowpipe loads data within minutes after files are added to a stage and submitted for ingestion. This ensures users have the latest results, as soon as the raw data is available.Snowpipe uses compute resources provided by Snowflake (i.e. a serverless compute model). These Snowflake-provided resources are automatically resized and scaled up or down as required, and are charged and itemized using per-second billing. Data ingestion is charged based upon the actual workloads.Note that it is not always necessary to […]

Microsoft Power BI gateway is a software that is required to access data in a network. It acts as a gatekeeper for the on-premises data source. The request goes through the gateway if anyone needs to access on-premises data from a cloud or web-based app.There are 2 types of Power BI GatewaysStandard Mode – This gateway allows multiple data sources for more than one user. You can use the data in Power BI, Azure Analysis Services, Azure Logic Apps, Microsoft Flow, PowerApps, etc.Personal Mode – This data gateway is used by only one user to connect to different data sources. In this mode the user cannot share its user privilege with other users.You can use the data gateway in Power BI by following the four steps below: ● Install a gateway in your system. ● Add users to the gateway. ● Connect to on-premises data sources. ● Refresh on-premises data. DataTerrain, with years of experience and reliable experts, is ready to assist. We have served more than 200 customers in the US and over 70 customers worldwide. We are flexible in working hours and do not need any long-term binding contracts.

The Oracle HCM Cloud suite of BI applications eliminates troublesome issues by understanding how your business and your employees work

This post goes over some of the methods and tools from the HCM Cloud that organizations can put to use during the drive toward synergy.

All data in Snowflake is stored in database tables, logically structured as collections of columns and rows. Two principal concepts are used by Snowflake to physically maintain Table Structures for best performance. They are: Micro-Partitions Data-Clustering Micro-Partitions – Snowflake stores the data in a table using columnar fashion divided into a number of micro-partitions which are contiguous units of storage of size around 50 MB to 500 MB of uncompressed data. Unlike traditional databases, partitions aren’t static and aren’t defined and maintained by users but are automatically managed by Snowflake data warehouse in a dynamic fashion. A table can consist of thousands or millions of micro-partitions in Snowflake depending on the table size. This data will be broken into multiple micro-partitions in Snowflake. Data-Clustering – Data-Clustering is like the concept of sort-key available in most massively parallel processing (MPP) databases. Snowflake automatically does the job of clustering on the tables, and this natural clustering process of Snowflake is good enough for most cases and gives good performance even for big tables. However, if a user wants to do manual clustering, there is a concept of the clustering key which can be defined on the table by the user. Snowflake uses […]