Databases

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

The 2024 Snowflake Startup Challenge began with over 900 applications from startups Powered by Snowflake in more than 100 countries. Our judges narrowed that long list of contenders down to 10, and after much deliberation, they’ve now pared it down to the final three. We are pleased to announce that BigGeo, Scientific Financial Systems and SignalFlare.ai by Extropy360 will advance to the Snowflake Startup Challenge finale and compete for the opportunity to receive a share of up to $1 million in investments from Snowflake Ventures, plus exclusive mentorship and visibility opportunities from NYSE. Many thanks to the other semifinalists for their dedication and the effort …

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

The Snowflake Summit 2024 is all set to bring together data, AI and tech to discuss the advancements and cutting-edge innovation in Data cloud. It is an unmissable opportunity to connect with data experts to explore the limitless possibilities of AI in data and emerging trends in application development. Hevo is thrilled to be at […] 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

Topic was moved to forum Data Engineering & Data Science

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