Databases

In recent years, businesses worldwide have scaled up their Data Collection operations, leading to the term ‘Big Data.’ Today, companies collect information from various sources, including Business Transactions, Industrial Equipment, Social Media, and more. Accordingly, these organizations need an efficient way of storing and analyzing this information. A decade ago, this would be a rather […]View the full article

Is the data in your organization diverse and increasing daily? This data is lot more valuable than you think. Using data extraction tools, you can gain insights into your data and increase productivity. What are Data Extraction Tools? Data extraction is the process of retrieving data from various sources into a single destination for further […]View the full article

What are the methods you follow for storing your data from a staging area to Snowflake? Snowflake storage integration is a way which allows easy authentication without directly giving credentials in the stage configuration. This helps to limit the access to your staging at the integration level and you can only create stages connecting to […]View the full article

A schema is a logical representation of how data is organized into tables. Before importing any dataset into a data warehouse platform like Snowflake, it is necessary to understand how to create a schema in Snowflake. This allows better organization and accessibility of your data in the Snowflake environment. This article discusses the methods for […]View the full article

Data and time information are essential for accurately capturing, organizing, and processing data for effective data management. These functions help you extract information from the storage system in a logical manner so that you can analyze the data to make informed business decisions. You must understand how date/time functions work to implement them appropriately. The […]View the full article

Date and time functions are crucial when extracting information from large datasets. Imagine a situation where you have to make marketing decisions based on seasonal trends and product performance. You need a report to check the product prices and marketing channels with the most traffic to make the marketing decisions. Here, date and time functions […]View the full article

Snowflake is a data warehouse that provides various services for advanced data analytics. Snowflake Cortex is one such service. It is a fully managed feature that offers you a set of functions to leverage artificial intelligence (AI) and machine learning (ML) capabilities. You can use Snowflake Cortex in complex data applications to perform high-level data […]View the full article

Integrating a database where you store all your in-house information into a cloud warehousing platform like Snowflake can be a beneficial step to consider. Data integration enables you to back up your data and use it for analysis when necessary, positively impacting your business. Snowflake data pipelines can help you streamline data flow into your […]View the full article

Data modeling is a crucial step in the data warehouse design process; it involves analyzing data sources and establishing the relationships between them. It is particularly beneficial in conceptualizing and visualizing data models based on business requirements. The primary objective of building a data model is to understand how data will be collected and stored […]View the full article

Data mesh is a novel approach to framing data architecture in a decentralized manner. It enables individual domain teams within your organization to manage and control all tasks related to the data used in their domains. Many platforms can help facilitate the implementation of data mesh architecture within your enterprise, and Snowflake is one of […]View the full article

With large volumes of data generated daily, it might be challenging for you to store and manage the data efficiently. Database replication can solve this problem by creating and storing copies of a database in different locations, with high availability and redundancy. Combine it with a SaaS platform like Snowflake for the best database replication. […]View the full article

Transient Tables can be created in Snowflake and are available to all users with the necessary credentials until they are expressly abandoned. Snowflake Transient Tables are comparable to Permanent Tables, except that they don’t have a fail-safe period. As a result, Transient Tables are meant for temporary data that must be kept after each session […]View the full article

With the advent of technology, most of the users are modernizing and moving into VPCs (Virtual Private Cloud). With every consumer moving its data into the Cloud, it is essential to establish private connectivity between VPCs, Data Warehouse services, and SaaS applications securely. Snowflake is a Data Warehouse that has become an industry-leading Cloud-Based SaaS […]View the full article

he ever-growing demand for Efficient Data Handling & Processing is on a new high. Due to the Limitations of On-Premise Data Storage & Analytics Tools, Businesses are now adopting Cloud Solutions such as Snowflake. Snowflake is a Cloud Data Warehousing & Analytics Platform that allows instant scaling of storage and computational resources independently. Supporting Standard […]View the full article

Cloud Database services are becoming popular day by day as companies become more data-driven. These services allow organizations to have access to a wide range of databases for all their business needs. One such cloud tool is AWS RDS (Relational Database Service). AWS RDS helps you connect to any database of your choice including SQL […]View the full article

Google BigQuery is a completely managed data warehouse service offered based on subscription payments by Google. Completely managed warehouse services like BigQuery separates the storage and compute costs allowing customers to pay only for what they use. Google BigQuery has a very capable SQL layer and can handle petabytes of data. Google BigQuery can be […]View the full article

For decades, traditional On-Premise Data Warehouses have been tightly coupled with Data Storage and Computing, making them difficult to scale. However, today’s businesses must store and analyze massive amounts of Structured and Unstructured data from disparate services & sources, necessitating a service like Snowflake that can handle large data volumes as well as variable compute […]View the full article

The world is rapidly becoming digitized. Soon every aspect of our lives will be connected to the web, which will provide a higher level of convenience for users such as wide availability of information. While this is a good thing, the sheer number of data generated due to digitization is astonishing. Accordingly, companies need systems […]View the full article

The Amazon Redshift Create Table command allows you to create new tables for your Amazon Redshift instance. With most companies adopting cloud as their primary choice of storing data, the need for having a powerful and robust cloud data warehouse is on the rise. One of the most popular cloud-based data warehouses that meets all […]View the full article

ganizations are collecting a plethora of information, organizing Big Data for business needs has become increasingly challenging. Often companies struggle to harness the potential of data as gathered information is not structured to support Data Analytics. Since data comes from different sources, without devising proper Data Modelling Techniques, organizations fail to find relationships among data […]View the full article

When it comes to full-stack development, you may have heard of several acronyms for stack names, MERN, MEAN, etc. The acronyms generally refer to the solutions used for the database, the API interface, the frontend, and the backend. MERN, for example, stands for MongoDB (database), Express (API interface), React.js (frontend), and Node.js (backend). In the […]View the full article

Real-time data synchronization is essential to draw instant insights and stay on top of your data from your ever-growing PostgreSQL databases. This is where CDC comes into the picture. In this blog, we will delve into the intricacies of Postgres CDC and explore the ins and outs of implementing Change Data Capture (CDC) in Postgres […]View the full article

The Common table expressions, commonly known as CTEs in SQL Server, is a tool that allows users to design and arrange queries. It has faster development, troubleshooting, and performance improvement. Common table expressions are a functional feature in SQL that will enable you to perform multi-step and complex transformations in a single easy-to-read query. Because […]View the full article

Bringing your key sales, marketing and customer data from Salesforce to BigQuery is the right step towards building a robust analytics infrastructure. By merging this information with more data points available from various other data sources used by your business, you will be able to extract deep actionable insights that grow your business. Before we […]View the full article

HubSpot is a cloud-based customer relationship management (CRM) platform that aids organizations in managing their marketing, sales, customer care, content management system (CMS), and operations. The cutthroat digital environment in which we now live has mandated the need for organizations to examine their data and use it for growth carefully. Hubspot to Snowflake integration will […]View the full article

Snowflake Data Warehouse delivers essential infrastructure for handling a Data Lake, and Data Warehouse needs. It can store semi-structured and structured data in one place due to its multi-clusters architecture that allows users to independently query data using SQL. Moreover, Snowflake as a Data Lake offers a flexible Query Engine that allows users to seamlessly […]View the full article

If you are looking to move data from MongoDB to Redshift, I reckon that you are trying to upgrade your analytics set up to a modern data stack. Great move! Kudos to you for taking up this mammoth of a task! In this blog, I have tried to share my two cents on how to […]View the full article

Today, customers’ choices have become fickle due to many factors, such as rapidly changing trends, increased competition, and higher living standards. Salesforce Marketing Cloud helps businesses anticipate these shifts. It provides a comprehensive platform for analyzing customer data and automating marketing across various channels. Salesforce Marketing Cloud enhances customer satisfaction through its built-in tools and […]View the full article

To succeed in the digital world, you must respond to your customer’s needs more quickly than ever. Salesforce Marketing Cloud is a platform that automates marketing campaigns across different channels and helps you personalize your customer experience. However, it is difficult to query large and complex data sets in the Salesforce marketing cloud. This is […]View the full article

Salesforce Marketing Cloud is a marketing service used for digital marketing through various media, such as emails or social media platforms. You can use it effectively for customer data management, but it does not facilitate efficient data storage. To resolve this limitation, you can integrate Salesforce with data warehouses like Snowflake. Snowflake It allows you […]View the full article

Data migration from one instance of a data warehouse to another is essential to consider if you want to optimize cost, improve performance, and consolidate operations in a single place. Amazon Redshift is a cloud data warehousing service that allows you to deploy your application while securely storing your data. Migrating data from one Redshift […]View the full article

GCP Postgres is a fully managed database service that excels at managing relational data. Databricks, on the other hand, is a unified analytics service that offers effective tools for data engineering, data science, and machine learning. You can integrate data from GCP Postgres to Databricks to leverage the combined strengths of both platforms. GCP Postgres […]View the full article

Organizations often manage operational data using open-source databases like MySQL, frequently deployed on local machines. To enhance data management and security, many organizations prefer deploying these databases on cloud providers like AWS, Azure, or Google Cloud Platform (GCP). Organizations using GCP to host their MySQL database via Google Cloud SQL can utilize SQL queries to […]View the full article

Analyzing vast volumes of data can be challenging. Google BigQuery is a powerful tool that enables you to store, process, and analyze large datasets with ease. However, it may only provide some of the functionalities and tools needed for complex analysis. This is where Databricks steps in. It offers a variety of tools, such as […]View the full article

Companies use Data Warehouses to store and analyze their business data to make data-driven business decisions. Querying through huge volumes of data and reach to a specific piece of data can be challenging if the queries are not optimized or data is not well organized. Amazon Redshift is a fully managed Cloud Data Warehouse widely […]View the full article

Being a cross-platform document-first NoSQL database program, MongoDB operates on JSON-like documents. On the other hand, JDBC is a Java application programming interface (API) used while executing queries in association with the database. Using JDBC, you can seamlessly access any data source from any relational database in spreadsheet format or a flat file. In fact, […]View the full article

Data has become a core component of society in the 21st century. One industry that is heavily reliant on data is the commerce sector. Specifically, Data Collection is a multi-billion dollar business that helps companies make critical business decisions and draw insights into their customers. It is worth noting that data can either be structured […]View the full article

Companies use Data Warehouses to store all their business data from multiple data sources in one place to run analysis and generate valuable insights from it. Amazon Redshift a widely used Cloud Data Warehouse service by AWS (Amazon Web Services) provides many tools and features that allow companies to easily query and analyze data according […]View the full article

Data visualization has become one of the most critical skills companies require to generate insightful reports. Visualizing data with the help of a programming language can take a lot of time, so organizations prefer to use data visualization tools to achieve fast and efficient results. Enterprise data visualization tools can enable you to visualize large-scale […]View the full article

Organizations accumulate vast volumes of information from various sources. This data includes customer transactions, financial records, social media interactions, sensor readings, and more. Effective management and utilization of data are crucial to gaining insights, improving decision-making, and achieving business objectives. Enterprise data repository (EDR) plays a vital role in managing high-volume data. It is the […]View the full article

Hevo is enterprise-friendly! The needs of enterprise data systems are unique. With massive workloads and complex intertwined systems, data teams need partners who can understand their requirements intimately. Hevo can be that partner for you! Hevo has spent the last 7 years building a data platform that is simple yet powerful. With reliable data movement, […]View the full article

MongoDB is a popular NoSQL database that requires data to be modeled in JSON format. If your application’s data model has a natural fit to MongoDB’s recommended data model, it can provide good performance, flexibility, and scalability for transaction types of workloads. However, due to a few restrictions that you can face while analyzing data, […]View the full article

Data consistency is one of the most important aspects when building and maintaining any application. While multiple architecture patterns are present to build applications, microservices prevail as one of the most widely used software architectures. Using microservices architecture can enable you to develop e-commerce applications, streaming platforms, and many other applications where different microservices handle […]View the full article

Snowflake Partner Connect is a marketplace where Snowflake users can discover and integrate a diverse range of third-party solutions and services to enhance their data analytics, warehousing, and management capabilities. We are thrilled to announce that Hevo Data is now available on Snowflake Partner Connect. This exciting partnership allows Snowflake customers to seamlessly connect to […]View the full article

Imagine having to manage large amounts of data without a systematic way to organize, store, and manipulate it. Without a structured system in place, data becomes scattered and difficult to handle. A database works as a structured repository for your data. It enables you to store your data efficiently and helps you with data management, […]View the full article

Integrating the on-premise data present in the database into a data warehouse has become an essential part of every business workflow. By doing so, organizations tend to take a more data-driven approach and are able to decide what steps to take for better business performance. Amazon RDS Oracle is a popular relational database service that […]View the full article

In today’s data-driven world, data storage and analysis are essential to derive deeper insights for smarter decision-making. As data volumes increase, organizations consider shifting transactional data from Oracle databases on AWS RDS to a powerful platform like Google BigQuery. It can be due to several reasons, which include AWS RDS Oracle’s storage limits, high query […]View the full article

Most organizations find it challenging to manage data from diverse sources efficiently. Amazon Web Services (AWS) enables you to address this challenge with Amazon RDS, a scalable relational database service for Microsoft SQL Server (MS SQL). However, simply storing the data isn’t enough. To drive your business growth, you need to analyze this data to […]View the full article

The need to handle data and generate insights has become one of the primary considerations for companies. Corporations typically store their on-premise data in a database designed for day-to-day transactional operations. Consequently, integrating data from a database into a data warehouse is a crucial step for any organization. Amazon RDS is a database management web […]View the full article

Your organization may choose Microsoft SQL Server (MSSQL) on AWS RDS to store its operational data because there are no upfront investments. With AWS RDS MSSQL, you only need to pay for what your organization utilizes. In today’s dynamic business world, achieving the maximum value from your data is crucial. To do so, you must […]View the full article

Effective asset management is essential for the success of your business, whether you own a tiny local store or a multinational corporation. Assets refer to any resource used in business operations, including physical infrastructure like buildings, machinery, and tools, as well as intangible resources like employees and capital. Regularly inspecting assets and performing preventive maintenance […]View the full article

Efficient data management is a crucial part of an enterprise’s success. Data architecture helps streamline data management and workloads. It also enables you to establish a data governance framework that improves the data quality and gives useful business insights. These data-driven insights can improve customer experiences and product development. In this article, you will learn […]View the full article

Managing vast data volumes is a necessity for organizations in the current data-driven economy. To accommodate lengthy processes on such data, companies turn toward Data Pipelines which tend to automate the work of extracting data, transforming it and storing it in the desired location. In the working of such pipelines, Data Ingestion acts as the […]View the full article

Carrying out an insightful data analysis for your business requires having the ability to not only store or access data, but also to transform it into a form, that can be used to draw powerful and holistic insights. This article focuses on Snowflake Analytics and provides you with a comprehensive list of some of the […]View the full article

Data is the most fundamental factor that provides businesses a competitive edge in the market. It is a strategic asset that you can leverage to gain insights, identify upcoming profitable trends, and make informed decisions. However, procuring the right data can be challenging. Traditional methods often involve complex negotiations, manual integrations, and compatibility issues. Here’s […]View the full article

Data governance is a collection of steps an organization takes to ensure data is accurate, usable, and accessible. It improves data quality and analytics, which is crucial for any data-driven enterprise. This, in turn, benefits better decision-making and business performance. However, factors such as a lack of understanding of the business value of data governance, […]View the full article

Enterprises generate vast amounts of data from multiple sources, such as Customer Relationship Management platforms, Enterprise Resource Planning (ERP) applications, marketing metrics, and more. However, you need seamless data exchange between numerous applications to perform deep analytics and derive business insights. Without proper integration, this intricate data ecosystem can become a tangled mess. This is […]View the full article

AWS Glue is a serverless ETL solution that helps organizations move data into enterprise-class data warehouses. It provides close integration with other AWS services, which appeals to businesses already invested significantly in AWS. If you are looking for a replacement for AWS Glue, this guide will walk you through the top 5 AWS Glue alternatives. […]View the full article

Good quality data is the holy grail, and that’s what you should always aim for. But that saying goes incomplete without data models. While all of us know the importance of data, profits or sales turn in only when organizations know how to find, model, track and understand their data appropriately. Data modeling, being one […]View the full article

Microsoft SQL Server is commonly used to manage controls/permissions, backup, recovery, and data migration — but it may not be the best option for you. Through this blog post, we will be listing out the top 10 SQL Server alternatives for you to consider while investigating the best fit. Whatever might be the reason for […]View the full article

Do you rely heavily on GA4 data for analyzing the metrics of your website engagement? If yes, then you would face problems while collecting all the GA4 data and performing advanced analytics on it. If you want to gain business-critical insights from your GA4 data, then you can’t simply manipulate it. You need to have […]View the full article

Data is one of the most valuable assets, allowing corporations to make insightful decisions to boost their business performance. By efficiently utilizing their on-premise data, companies are transitioning towards an advanced analytical environment to extract more profound insights. AWS Relational Database Service (RDS) is an Amazon data management web service that can help you manage […]View the full article

Effective data migration is the key to overcoming the challenges associated with today’s data-driven world. The AWS Aurora Postgres to Databricks integration offers data storage and analytics solutions that help unlock the full potential of your organization’s operational data. Through this integration, you can achieve the simplicity and cost-effectiveness of AWS Aurora Postgres databases with […]View the full article

Data-driven decision-making is one of the core principles of many organizations these days. Companies spend thousands of dollars working on data and interpreting its behavior to increase sales and scale their business. Moving all the company data from a relational database to a fully managed data warehousing service is an essential step to consider. This […]View the full article

In the early 2000s, organizations started dealing with more semi-structured and unstructured data, which consisted of images, videos, log files, text, and sensor data. They needed a storage solution that was more flexible than a data warehouse. That’s when data lake emerged and strived to be one of the most beneficial platforms for modern data […]View the full article

The rapid adoption of the latest technologies has led to information abundance. Every day, businesses, irrespective of their size, generate massive amounts of data, such as customer transactions, sales figures, and operational metrics. However, data in its raw form is just a collection of numbers. The real potential lies in using it smartly and extracting […]View the full article

Corporations deal with massive amounts of data these days. As the amount of data increases, handling the incoming information and generating proper insights becomes necessary. Selecting the right data management services might be baffling since many options are available. Multiple platforms provide services that can assist you in analyzing and querying your data. In this […]View the full article

Google has always pioneered the development of large and scalable infrastructure to support its search engine and other products. Its vast network servers have enabled us to store and manage immense volumes of data. As cloud computing gained notoriety, Google expanded its operations and launched Google Cloud Platform (GCP). The Google Cloud Storage (GCS) allows […]View the full article

In the whirlwind of online shopping, website visitors often get lost in the digital crowd. They browse and add your products to the cart, but they’re gone soon, leaving you wondering what went wrong. To reignite customer interest, you can analyze insights obtained from customer touchpoints. If you regularly run ad campaigns on social media […]View the full article

ETL is like doing a jigsaw puzzle with no picture on the box. You don’t know what the final result should look like, but you must make all the pieces fit together. Extract, transform, and load (ETL) processes play a critical role in any data-driven organization. It is likely that your ETL project will not […]View the full article

A fundamental requirement for any data-driven organization is to have a streamlined data delivery mechanism. With organizations collecting data at a rate like never before, devising data pipelines for adequate flow of information for analytics and Machine Learning tasks becomes crucial for businesses. As organizations gather information from multiple sources and data can come in […]View the full article

sources using multiple techniques. This data can be thoroughly analyzed to gain valuable insights that optimize business performance. There are various tools and platforms that facilitate data storage and analysis. SQL Server and Azure Synapse are potent and robust platforms that help you comprehensively analyze your business data and develop innovative solutions. Moving your SQL […]View the full article

ETL processes often involve aggregating data from various sources into a data warehouse or data lake. Bucketing can be used during the transformation phase to aggregate data into predefined buckets or intervals. For example, you might want to aggregate daily sales data into monthly buckets or hourly sensor readings into daily buckets. It plays a […]View the full article

According to Expert Market Research, the global big data & Analytics market is expected to grow at a CAGR of 10%. This report also forecasts that the global investment in big data and analytics will reach $450 Billion by 2026. Hence, considering the massive scope of the analytics and the amount of data you deal […]View the full article

In today’s fast-paced world, businesses always seek opportunities to expand operations using automated tools and platforms. Adroll and Salesforce are effective cloud-based platforms that help you market your products and services with advanced functions and algorithms. Adroll optimizes your ads through different channels, while Salesforce’s data-driven tools help you manage your workflow and enhance your […]View the full article

About the Author Mona Rakibe is the co–founder, and CEO of Telmai, a low-code data reliability platform designed for open architecture, i.e., any batch/streaming source of your data pipeline. Mona is a veteran in data space, and before starting Telmai, she headed product management at Reltio, a cloud-based master data management company. As we hurtle […]View the full article

Organizations are constantly on the lookout for simple solutions to integrate their company data from several sources into a centralized location, then analyze it to make informed decisions. This process is termed Data Integration. One of the most popular Data Integration techniques is ETL (Extract, Transform and Load). You will get to know more about […]View the full article

Huge performance-boosting opportunities await those who choose the optimal data warehouse for their business. Identifying custom data points that steer your organizations’ successful outcomes is crucial. Decision-making is optimized through sophisticated means of accessing and analyzing your company’s data. As the use of data warehouses grows exponentially, consumer choices become additionally more challenging to discern […]View the full article

As analytics in your company graduates from a MySQL/PostgreSQL/SQL Server, a pertinent question that you need to answer is which data warehouse is best suited for you. This blog tries to compare Redshift vs BigQuery – two very famous cloud data warehouses today. In this post, we are going to talk about the two most […]View the full article

More data has been created in the past two years than was ever created in human history. With the exploding volumes of data, people are now looking for data warehouse solutions, which can benefit them in terms of performance, cost, security, and durability. To have an answer to this problem, many companies released data warehousing […]View the full article

Many companies build their Data Analytics, Data Backup, and Operational Intelligence infrastructures on Amazon’s web services such as Amazon S3 and Redshift. Since businesses today have a lot of data residing in a multitude of SaaS applications used by different departments within the company, there is a grave need to bring this data into S3 […]View the full article

As businesses continue to generate massive amounts of data, the need for an efficient and scalable data warehouse becomes paramount. Amazon Redshift has always been at the forefront of providing innovative cloud-based services, and with its latest addition, Amazon Redshift Serverless, the data warehouse industry is being revolutionized. With Amazon Redshift Serverless, AWS has removed […]View the full article

Data migration between different platforms is critical to consider when generating multiple organizational strategies. One such migration involves transferring data from a cloud-based data warehousing service environment to a relational database management system. Amazon Redshift SQL Server Integration can give organizations an edge, allowing them to conduct enhanced analysis and reporting through custom report application […]View the full article

Managing databases is an essential part of business. It helps you store and retrieve data on the go. With the latest technologies in the market, deciding which database management system is the best has become tough. One such necessary factor is the cost considerations of choosing a database. MySQL is a free database management system […]View the full article

Maximizing the effectiveness of proper marketing attempts is necessary while ensuring a flawless customer experience. Corporations prioritize focusing on the key performance indicators (KPIs) that positively influence their business by integrating their in-house data with marketing platforms. In this dynamic environment, it becomes essential to connect the advertising platform to the e-commerce solution to leverage […]View the full article

Data analytics involves storing, managing, and processing data from different sources and analyzing it thoroughly to develop solutions for our business problems. While JSON helps to interchange data between different web applications and sources through API connectors, Snowflake assists you in analyzing that data with its intuitive features. Therefore, JSON Snowflake data migration is crucial […]View the full article

In today’s data-driven world, efficient workflow management and secure storage are essential for the success of any project or organization. If you have large datasets in a cloud-based project management platform like Hive, you can smoothly migrate them to a relational database management system (RDBMS), like MySQL. Now, you must be wondering why you should […]View the full article

Data reconciliation is essential for financial accuracy, but it can be tedious. Data reconciliation is a process where datasets are compared and matched to ensure accuracy and consistency. The process involves identifying discrepancies in the data and resolving them proactively to prevent an impact on the outcomes. For example, reconciling bank statements at month or […]View the full article

Data reconciliation is the process of comparing data from different systems or sources to identify and fix discrepancies. The goal is to ensure that the information is accurate and up-to-date. If there are mismatches, data reconciliation helps find the root cause and rectifies them. This establishes data integrity, particularly in complex environments where data is […]View the full article