Databases

Amazon Relational Database Service (RDS) for PostgreSQL announces Amazon RDS Extended Support minor version 11.22-rds.20250220 and 12.22-rds.20250220. We recommend that you upgrade to this version to fix known security vulnerabilities and bugs in prior versions of PostgreSQL. Amazon RDS Extended Support provides you more time, up to three years, to upgrade to a new major version to help you meet your business requirements. During Extended Support, Amazon RDS will provide critical security and bug fixes for your RDS for PostgreSQL databases after the community ends support for a major version. You can run your PostgreSQL databases on Amazon RDS with Extended Support for…

Relational databases like Oracle have been the backbone of enterprise data management for years. However, as data volumes grow and the need for flexibility, scalability, and advanced analytics increases, modern solutions like Apache Iceberg are becoming essential. Iceberg’s open architecture and advanced features make it a compelling choice for organizations looking to optimize their data […]View the full article

Does your organization rely on real-time analytics for decision-making, or is your product itself a real-time application? Either way, systems majorly fail when the database can’t keep up. That’s why Amazon introduced DynamoDB, a serverless, cloud database that tracks data modifications in real time through change data capture(CDC). In this article, we’ll discuss DynamoDB CDC, […]View the full article

Relational databases like Postgres have been the backbone of enterprise data management for years. However, as data volumes grow and the need for flexibility, scalability, and advanced analytics increases, modern solutions like Apache Iceberg are becoming essential. Iceberg’s open architecture and advanced features make it a compelling choice for organizations looking to optimize their data […]View the full article

It is the 21st century and you are leading a fast-growing fintech startup that is about to hit a breaking point. The data team has doubled in size over six months, but chaos is reigning. Analysts are wasting hours reconciling conflicting reports, engineers are scrambling to fix broken pipelines, and leaders can’t agree on priorities. […]View the full article

You work with data to gain insights, improve decisions, and develop new ideas. With more and more data coming from all sorts of places, it’s super important to have a good data plan. That’s where big data integration comes in! It’s all about combining data from different sources to get a complete picture. For today’s […]View the full article

Big data is now crucial for driving business decisions. Companies are tapping into it to gain valuable insights and make smarter moves. To unlock this power, they’re using tools like data warehouses, BI tools, and cloud storage. One key innovation? The semantic layer: Its role is simple—standardize data definitions, making them more accessible and easier […]View the full article

Whether in healthcare or the retail industry, everyone needs data to succeed in their business. Data helps make clear decisions and helps businesses understand people and their needs. That is why data integration in business intelligence is very important. In this blog, you will explore data integration in business intelligence, its frameworks and components, its […]View the full article

The current data-centric environment changes how organizations handle business information by implementing cloud data integration methods. By seamlessly connecting different data sources, companies gain real-time insights that drive smarter decisions and improve daily operations. Like for example Netflix, its advanced cloud strategies help process a staggering 550 billion events every day, generating 1.3 petabytes of […]View the full article

Choosing the right data transformation tool can make all the difference for efficient data workflows. Coalesce and dbt are two of the most popular choices that bring unique features to the table for data teams. While dbt is known for its SQL-based, modular approach to transformations, Coalesce provides a low-code, column-aware interface with automation capabilities. […]View the full article

Given the era of big data, organizations are producing and analyzing enormous amounts of data daily. They use tools that enable streamlining data ingestion, transformation, and analysis to try to understand it all. Two of the most popular tools on the modern data stack, dbt (Data Build Tool) and Hevo, occupy different but complementary spaces. […]View the full article

With growing businesses, marketing teams are flooded with a wealth of data from various platforms such as social media, email campaigns, customer feedback, websites, and offline in-store. The real challenge lies in “how to integrate this data into a unified structure in a meaningful way ?”. This is where “Marketing Data Integration” comes into play. […]View the full article

Is your business incapacitated due to slow and unreliable data pipelines in today’s hyper-competitive environment? Data pipelines are the backbone that guarantees real-time access to critical information for informed and quicker decisions. The data pipeline market is set to grow from USD 6.81 billion in 2022 to USD 33.87 billion by 2030 at a CAGR […]View the full article

Digital tools and technologies help organizations generate large amounts of data daily, requiring efficient governance and management. This is where the AWS data lake comes in. With the AWS data lake, organizations and businesses can store, analyze, and process structured and unstructured data of any size. This article will focus on how businesses and organizations […]View the full article

The right data integration platform is crucial for the effective management and analysis of data. Rivery offers robust capabilities in data integration and transformation, but it may not fit every business’s unique needs. Fortunately, there are several Rivery alternatives available, each with distinct features, pricing, and use cases. Explore these options and find the perfect […]View the full article

Every year, Gartner rolls out its Magic Quadrant for Data Integration Tools, a trusted guide for data leaders on the hunt for the perfect integration tool. Think of it as a cheat sheet that cuts through the noise—evaluating tools based on how well they perform, how innovative they are, and how clear their vision is […]View the full article

Let’s face it: Data engineering is like playing Tetris, always moving objects around to fit them into the right places. The data is never static; pipelines, schemas, transformations, workflows, and flow are always puzzles that must be solved. Yes, it is an unmistakable kind of job; however, let me assure you, it is not always […]View the full article

One of the most common things in data analytics is running the same analytics queries over and over again by different end users over various times and snapshots of the data. This action, in particular, makes running warehousing solutions expensive and time-consuming at the same time. How about, we store the results of such expensive […]View the full article

Have you ever felt like data engineering is evolving at the speed of light? With new tech emerging almost daily, it’s no surprise that staying ahead of the curve is harder than ever. As we step into the fantastic year 2025 ahead, the rate at which data engineering changes is at an all-time high. New […]View the full article

In today’s data-driven world, data lakes have emerged as the data architecture of choice when storing and analyzing large volumes of data. However, implementing a successful data lake requires diligent planning and design, as it can quickly become a data swamp with no additional value. This blog post will delve into data lake best practices, […]View the full article

The Oracle Database is used by many companies around the world as the basis for the storage and processing of information. It is well adopted across all markets, including the financial sector and healthcare, where data security and management is critical. A lot of companies rely on Oracle database to store and manage their critical […]View the full article

We know just how hard it is to run your marketing data. The variety of campaigns running through platforms, such as Google Ads, Facebook, and HubSpot, among others, gives the kind of information that would just flood you. This is why we talk about a marketing data warehouse today that is powerful enough to make […]View the full article

Matillion is a cloud-based ETL tool known for its user-friendly, low-code interface. It’s great for teams that want to get pipelines up and running quickly without heavy coding. It also integrates seamlessly with cloud platforms like Snowflake, BigQuery, and Redshift, making it a solid choice for companies already working in the cloud.Airflow, on the other […]View the full article

When it comes to data integration, Fivetran has established a solid reputation as one of the industry leaders. With its robust feature set, Fivetran has become a go-to option for many enterprises. But there’s a catch- Fivetran’s pricing model. It’s unique and depends on usage. However, Fivetran’s pricing model can be confusing and complex for […]View the full article

With so many data integration tools available these days, it can become very overwhelming to choose one that best suits your needs. Here in this blog post, I have broken down an all-comprehensive comparison of two leading platforms: Airbyte VS Stitch. So, let’s get into the main discussion. Whether you seek flexibility, scalability, or ease […]View the full article

When searching for a reliable data integration platform, many options might cross your mind. However, Hevo Data stands out as a no-code, fully managed solution. Recognized in G2’s Fall 2021 report, Hevo delivers unmatched ease of use, setup simplicity, and comprehensive support. Trusted by over 2000+ companies, including brands like Postman and Thoughtspot, Hevo enables […]View the full article

Amazon Redshift is an online, petabyte-scale Data Warehouse service. It is dedicated to enterprise use, collecting large amounts of data and extracting analysis and insights from it. Redshift helps organizations query large DBs in real-time. Nonetheless, Redshift provides flexibility in performance as long as the cost aspect is well-handled to minimize cloud expenses. In this […]View the full article

Every business based on data-driven insights in the modern data ecosystem needs effective ETL tools. Your choice of ETL will go a long way in affecting the efficiency, speed, and cost of your data operations. Among well-recognized ETL tools, Hevo and Matillion come with different capabilities that make it very important to understand their features, […]View the full article

As the dependency on high-quality, real-time data availability increases, the need for event/data streaming tools becomes increasingly crucial. Apache Kafka has become one of the most trending event streaming platforms, and its popularity has led to wide organizational acceptance in various functions related to large-scale real-time data streams. Today, we will explore the Top 5 […]View the full article

If you have decided to start your journey with cloud databases, you probably have encountered AWS RDS – Amazon Web Services Relational Database Service, and CDC – Change Data Capture. In this blog, you will learn about AWS RDS, what CDC is, and how to integrate AWS RDS CDC into your data operations. If you […]View the full article

In today’s fast-paced data environment, Change Data Capture (CDC) transforms how organizations handle and synchronize their expanding data volumes. According to the Market Analysis Report, the global data management market size was valued at USD 89.34 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 12.1% from 2023 […]View the full article

In today’s world of big data, it’s important for companies to quickly and effectively change and analyze large data sets to get useful information. Businesses need tools that help them gather, change, and use data easily so they can make smart decisions based on that data. Among the many ETL/ELT tools available, Matillion and dbt […]View the full article

Imagine putting hours into manually handling data tasks only to discover that one small mistake has caused the entire process to fail. Yes, it is frustrating. This is why automation is important. Automation is essential to ensure efficiency and data integrity in businesses. There is a McKinsey1 report that states: Task automation can spare up […]View the full article

Optimization is crucial in data engineering, where high-volume and complex data demands increased data handling and querying efficiency. In platforms like Databricks, built around speed and performance, query optimization knowledge helps organizations leverage their data by accelerating processes. In this world of data engineering, optimization is not just a buzzword but a mandate. As the […]View the full article

Managing and orchestrating data workflows efficiently is crucial in today’s data-driven world. As the amount of data constantly increases with each passing day, so does the complexity of the pipelines handling such data processes. Data orchestration deals specifically with the management and coordination around data pipelines to guarantee the free flow of data from one […]View the full article

Today’s world is all about data hence, choosing the right Integration Platform as a Service-or iPaaS-enterprises will further seek streamlined operations, better quality of data, and ease in connecting diverse systems. Among the leading iPaaS vendors, Boomi and Informatica have unique features and capabilities that would suit different enterprise needs. A report by Gartner tells […]View the full article

AWS Glue is a fully managed serverless ETL service that simplifies preparing and loading data for analytics. But how does it work? To answer that question, we need to understand its architecture. In this blog, we will discuss the AWS Glue architecture so you can fully understand how it works and optimize your data better. […]View the full article

More than ever, organizations face increasing challenges in maintaining data quality as their data size and complexity grow exponentially. They must now rely on efficient tools and services to ensure data accuracy, integrity, and anomalies-free. Quality data is essential for deriving accurate insights and making informed decisions. Poor Data can lead to inaccurate insights, which, […]View the full article

In today’s cloud-rich landscape, businesses are turning to data warehouses to store, manage, and analyze their data. As of 2024, over 65k companies use cloud data warehouses to enhance their data management and analytics capabilities. What used to be a database-oriented world is now moving to warehouses and data lakes due to their extensive features, […]View the full article

In the world of data engineering, the choice of tools can significantly impact the efficiency and scalability of your data workflows. Two popular options are Airbyte and Apache Airflow. Both tools serve distinct purposes but often get compared due to their roles in managing data pipelines. In this blog, we’ll break down the key features […]View the full article

Businesses today rely heavily on efficient data integration and ETL (Extract, Transform, Load) tools to manage and analyze their data. Choosing the right tool can significantly impact an organization’s ability to process and utilize data effectively. AWS Glue and Informatica are prominent players offering unique features and benefits. In this blog, AWS Glue vs Informatica […]View the full article

Having a robust data engineering team is crucial for organizations to extract maximum value from their data assets. A well-structured data engineering team can streamline data pipelines, ensure data quality, and enable timely insights. However, building such a team requires careful planning and consideration of various factors. In this blog post, we will explore effective […]View the full article

Data is a productive asset, but it is also becoming complex. As organizations grow and accumulate vast amounts of data, managing data becomes a challenge. Raw data becomes overwhelming, especially for non-technical users. This problem causes a lot of inconsistencies in data interpretation, which makes it prone to misinformed decisions in the organization. The dbt […]View the full article

Today’s data era is all about collecting data from multiple sources and analyzing it to extract valuable business insights. However, with the vast amounts of data generated daily, general SQL queries are not enough to handle them, you would need something more advanced and capable. This is where the concept of semantic layer shines. A […]View the full article

In today’s data-driven world, businesses rely heavily on data integration tools to streamline their data workflows. These tools are crucial in extracting, transforming, and loading (ETL) data from various sources into a unified system. Selecting the right data integration tool is essential for optimizing efficiency, ensuring data quality, and supporting scalability as your business grows. […]View the full article

With businesses relying on vast amounts of data from various sources, integrating this data into a single system becomes complex. Two leading solutions in the market for tackling this challenge are Airbyte and Informatica. Airbyte vs Informatica provides an in-depth comparison between these tools to guide you in selecting the one that best suits your […]View the full article

Are you grappling with the decision between Rivery vs Fivetran for your data integration needs? As the data landscape grows more complex, choosing the right ETL tool has become crucial for businesses of all sizes. In this comparison, we’ll dive into the key features, use cases, strengths, and potential drawbacks of Rivery and Fivetran. Whether […]View the full article

In today’s competitive world, organizations are trying to fetch maximum value out of their data to stay ahead in the market. Designing robust data pipelines for efficient management and processing of huge amounts of data is an important part of any data strategy. Since most of the workloads today run on the cloud, choosing the […]View the full article

If you’ve landed on this blog, chances are you’re curious about AWS Database Migration Service (DMS) and how it can help you move your databases to the cloud. You’re in the right place! We’re going to walk through the AWS DMS architecture, break down how it works, and even discuss some limitations and considerations you […]View the full article

If you’re reading this, you already know how important data quality can be in today’s fast-moving world for making critical business decisions. Now, be honest; you want to get high-quality data all the time—right? Use data quality tools. This blog will discuss the top 10 data quality tools available today to ensure your data stays […]View the full article

So, you’ve heard about AWS Database Migration Service (DMS) and Change Data Capture (CDC) and are curious how it can help you with your data migration needs. Well, you’ve come to the right place! Let’s dive into this fascinating world of real-time data migration and explore how AWS DMS CDC can make your life easier. […]View the full article

Integrating and transforming data efficiently is crucial for businesses seeking actionable insights. ETL tools have become essential for companies, making data integration and transformation smooth and efficient. With so many ETL tools available, choosing the right one for your needs can be challenging. This post lets you contrast the popular platforms, Fivetran vs RudderStack. By […]View the full article

Data professionals such as data engineers, scientists, and developers often use various tools and programming languages to get their work done. For your organization, these preferences can lead to overly complicated architecture, increased maintenance and operating costs, and new data silos that expose the data to security risk. What if there is a way to […]View the full article

Cloud Technology has revolutionized the way businesses manage and process data. In the previous era, there was a high demand for hardware to store and manage data, but that comes with a cost and requires highly experienced people to manage it. Cloud computing alleviates these challenges by allowing users to access and pay for only […]View the full article

In today’s world, businesses are drowning in data, and it is essential to migrate your data from one place to another. However, this process could be highly complex and time-consuming if you do not choose the right migration tool. AWS DMS is a robust migration solution for effectively and securely transferring databases to AWS. This […]View the full article

AWS Glue is a powerful data integration service that prepares your data for analytics, application development, and machine learning using an efficient extract, transform, and load (ETL) process. The AWS Glue service is rapidly gaining traction, with more than 6,248 businesses worldwide utilizing it as a big data tool. With1 3,139 customers (59.97%) in the […]View the full article

The right choice of tools makes all the difference in ETL or ELT processes in today’s fast and ever-changing data analytics environments. The ever-increasing volume and rising complexity of data are demanding powerful, adaptive solutions for businesses. Fivetran or dbt(Data Build Tool), each have special merits to master data pipelines from seamless extraction and loading […]View the full article

We’ve all been there: your business is growing, and your data is expanding across various systems. You’re trying to keep everything in sync, but manual updates and batch processing don’t cut it anymore. You need a reliable way to keep your data up-to-date across all platforms. This is where AWS Database Migration Service (DMS) and […]View the full article

Introduction In the data-driven modern world, organizations are quite dependent on ETL tools that help them integrate their data efficiently. These are the tools that base their guarantee of a smooth flow of data from sources to destination for supporting businesses in making decisions. Fivetran and Matillion are at the top of the list of […]View the full article

In today’s dynamic business environment, companies often need to migrate their databases for many different reasons, ranging from scaling their operations to modernizing their technology stack or moving to the cloud to enjoy numerous benefits. However, database migration is usually a complex and resource-intensive process, which, if not handled properly, might lead to huge amounts […]View the full article

In today’s fast-paced data landscape, real-time data replication and synchronization are critical for maintaining operational efficiency and making timely decisions. AWS Database Migration Service (DMS) offers a comprehensive database migration and replication solution, including support for Change Data Capture (CDC). This blog will delve into configuring AWS DMS CDC Oracle, providing a step-by-step guide and […]View the full article

In the modern data-centric world, efficient data transfer and management are essential to staying competitive. AWS offers robust tools to facilitate this, including the AWS Database Migration Service (DMS).Most businesses use a data warehouse for their data storage solution, and one of the leading data warehousing solutions is Amazon Redshift. In 2024, over 11441 companies1 […]View the full article

ETL tools have become essential for businesses, making data integration and transformation smooth and efficient. With so many ETL tools available, choosing the right one for your needs can be challenging. Today, we’ll compare two popular options: Fivetran vs Airbyte. By examining their features, pricing, data handling, and real-world use cases, we’ll help you determine […]View the full article

As data continues to drive modern-day business decisions, the need for interoperable engines with open-source table formats becomes paramount. Addressing this need, Snowflake introduced the Polaris catalog for Apache Iceberg at their summit on June 3rd, 2024. Snowflake Polaris Catalog is a new cataloging solution for data stored in Apache Iceberg format. It supports many […]View the full article

The fast-growing pace of big data volumes produced by modern data-driven systems often drives the development of big data tools and environments that aim to support data professionals in efficiently handling data for various purposes. At the same time, the architecture design of such systems is also facing changes to optimize any part of the […]View the full article

GPT has become a go-to search engine for many. We often use it instead of Google to get a quick solution for any query. Given its popularity, why don’t you include a customer chatbot or a troubleshooting chatbot service in your business? Imagine having a brand-specific chatbot with expertise in answering your business related queries. […]View the full article

Data warehouses bring phenomenal results from well-informed, data-driven decision-making for an organization. There were times when only companies with large capital, and substantial IT infrastructures invested time and effort, let alone money, in a data warehouse. But what if I say that it is now convenient even for small startups to gear up and start […]View the full article

In recent years, Apache Iceberg has seen considerable advancements that highlights its growing importance. Major tech companies like Google, Snowflake, and Databricks have increasingly embraced this table format. This trend, driven by major tech companies, highlights a transformative shift in the data warehousing landscape as Iceberg gains traction. In this blog, we will explore how […]View the full article

A data lake is a central storage place for an organization’s data in its original format. Unlike data warehouses, data lakes can handle all kinds of data, including unstructured and semi-structured data like images, video, audio, and documents. Using inexpensive object storage and open formats, data lakes allow companies to use advanced analytics and machine […]View the full article

While working with huge amounts of data, Data serialization plays an important role in the performance of the system. Data Serialization converts complex data structures, such as graphs, trees, etc., into a format that can be easily stored or transmitted over the network or across different distributed systems and programming languages. The serialized data formats […]View the full article

Searching for data manually in Snowflake can be very challenging, time-consuming and sometimes frustrating. Snowflake identifies these problems and has developed Universal Search to change the way we search for data. The universal search, built on a powerful snowflake cortex, is designed to make finding data straightforward. You can quickly and easily find data objects […]View the full article

With the vast amount of data being collected today for various purposes, there is an increasing need to find the proper data storage, which also heavily depends on your specific analytical objectives. The good news is that new technological possibilities are being introduced to accommodate both the need for scalable storage and efficient analysis. This […]View the full article

Businesses are increasingly investing in data lakehouses due to their reduced costs, streamlined workloads, support for real-time data processing, and better decision-making. The global data lakehouse market is estimated to be around USD 8.9 billion in 2023. Market research surveys1 predict a CAGR of 22.9% from 2024 to 2033, making the estimated market at around […]View the full article

The term “Data Lake” was first introduced by James Dixon in 2010 as a form of storage to cope with evolving data needs due to advancements in IT and IoT. The close of the 19th century and beginning of the 20th century saw an influx of new digital tools like the mobile phone and smart […]View the full article

The term “Data Lakehouse” is quite common nowadays. The new concept promises to address the failures of data warehouses and data lakes and help support the workloads of both business intelligence and machine learning. But what exactly is a data lakehouse, and how is it different from a data warehouse or a data lake? Data […]View the full article

Every data-centric organization uses a data lake, warehouse, or both data architectures to meet its data needs. Data Lakes bring flexibility and accessibility, whereas warehouses bring structure and performance to the data architecture. How about a unified data architecture that combines the flexibility and accessibility of a data lake with the structure and performance of […]View the full article

Managing infrastructure manually across multiple cloud providers leads to consistency, deployment delays, and difficulty in scaling. You need a solution that automates infrastructure provisioning, ensures consistency, and supports rapid deployment across diverse environments, from development to production, while maintaining security and compliance standards. This solution is none other than using Snowflake Terraform. In this blog, […]View the full article

In the fast-paced world of data management, choosing the right tool to address your requirements has never been more critical than now. Therefore, understanding each option is central to influencing your decisions. This guide compares Hevo Data vs Fivetran, two leading ELT (Extract, Load, Transform) tools in the market. Let’s explore which ELT tool best […]View the full article

Managing data ingestion from Azure Blob Storage to Snowflake can be cumbersome. Manual processes lead to inefficiencies and potential errors while also increasing operational overhead. But what if you could automate the process, ensure data integrity, and leverage real-time analytics? In this guide, I’ll walk you through the automated process of Snowflake Snowpipe Azure Integration. […]View the full article

Snowflake launched its new open-source, “state-of-the-art ” large language model, Snowflake Arctic, in April 2024. The data cloud company announced that the primary idea behind this innovation was to simplify adopting AI on enterprise data. At its core, Arctic offers a collection of embedding models that help you extract valuable insights from your data efficiently. […]View the full article

According to the World Economic Forum*, by 2025, the world is expected to generate 463 exabytes of data each day. Here are some key daily statistics: For over a decade, the Hive table format has been a cornerstone of the big data ecosystem, efficiently managing vast amounts of data. However, as data volumes and diversity […]View the full article

Data practitioners often need manual intervention to load large volumes of data into Snowflake in near real-time. Traditional batch loading can be slow and intensive and may lead to latency and increased operational costs. Enter Snowflake Snowpipe. This feature automates the entire process of loading data into Snowflake via continuous or micro-batch data loading as […]View the full article

Choosing the right data integration tool can be tricky, with many options available today. If you’re not clear on what you need, you might end up making the wrong choice. That’s why it’s crucial to have essential details and information, such as what factors to consider and how to choose the best data integration tools, […]View the full article

Real-time data requires processing and analytics tasks to be performed within seconds. Organizations often struggle to store and process this data quickly enough. High throughput, large volumes, different data formats, and a lot more need to be addressed. So, companies should find a way to effectively manage these factors while processing real-time data. In this […]View the full article

Retrieval-augmented generation (RAG) enhances response generation of a Large Language Model (LLM) by incorporating external information retrieval. It searches a database for information beyond the model’s pre-trained knowledge base, significantly improving the accuracy and relevance of the generated responses. Does that make sense? No? Let’s dive in! Introduction to Large Language Models (LLMs) As a […]View the full article

Have you considered moving to PostgreSQL yet? Do you need to know what you should do? If you need to lower your expenses, optimize speed, or avoid vendor lock-in, PostgreSQL offers excellent open-source database solutions. However, the whole conversion might appear scary. Luckily, there are necessary tools that can improve our lives. In this blog, […]View the full article

Microsoft SQL Server (MSSQL) is a popular relational database management application that facilitates data storage and access in your organization. Backing up and restoring your MSSQL database is crucial for maintaining data integrity and availability. By regularly creating backups, you can protect your data from corruption or loss. In the event of system failure or […]View the full article

Large datasets often involve complex calculations to generate accurate insights and reports. However, repeatedly running queries on the entire dataset can significantly slow down data processing operations. An effective strategy to manage this efficiently is to use temporary tables in MS SQL. A temporary table in MS SQL serves as a temporary storage space. You […]View the full article

As data continues to grow in volume and complexity, the need for an efficient ETL tool becomes increasingly critical for a data professional. ETL tools not only streamline the process of extracting data from various sources but also transform it into a usable format and load it into a system of your choice. This ensures […]View the full article

Need a better way to handle all that customer and marketing data in HubSpot. Transfer it to BigQuery. Simple! Want to know how? This article will explain how you can transfer your HubSpot data into Google BigQuery through various means, be it HubSpot’s API or an automated ETL tool like Hevo Data, which does it […]View the full article

Debezium is a distributed, open-sourced platform for tracking real-time changes in databases. It is called an event streaming platform as it converts data changes on databases into events, and when such changes are accessed by different applications to process the information further. Debezium uses the Change Data Capture approach (CDC) to retrieve the real-time changes […]View the full article

ETL (Extract, Transform, and Load) is an emerging topic in all IT Industries. Industries often look for an easy solution to do ETL on their data without spending much effort on coding. If you’re also looking for such a solution, then you’ve landed in the right place. This blog will act as an AWS Glue […]View the full article

Introduction The purpose of this post is to introduce you to Oracle Streams concepts. You will learn about the various components that make up the Oracle Streams technology. Towards the end, you will find practical examples detailing how to implement Oracle Streams CDC in a production environment. What is Oracle Streams? Oracle Streams is a […]View the full article

Are you trying to set up an Amazon Redshift ODBC Driver connection? Have you looked all over the internet to achieve it? If yes, then this blog will answer all your queries. ODBC (Open Database Connectivity) is an interface by Microsoft. You can use it to connect your application to a database. ODBC can be […]View the full article

As data collection within organizations proliferates rapidly, developers are automating data movement through Data Ingestion techniques. However, implementing complex Data Ingestion techniques can be tedious and time-consuming for developers. As a result, to overcome such issues, Microsoft developed Azure Data Factory to help organizations build cost-effective Data Ingestion, ELT (Extract, Load, Transform), and ETL (Extract, […]View the full article

AWS (Amazon Web Services) is one of the leading providers of Cloud Services. It provides Cloud services like Amazon Redshift, Amazon S3, and many others for Data Storage. Extract, Transform, Load are 3 important steps performed in the field of Data Warehousing and Databases. So, extracting and loading data from these data storage is one […]View the full article

As data grows at a massive scale, industries are adopting new ways to manage data effectively. One of the most popular techniques for managing data is CDC. The benefits of change data capture (CDC) enables organizations to capture changes made to data sources. It captures database changes and stores them in destinations like a data […]View the full article

The surge in Big Data and Cloud Computing has created a huge demand for real-time Data Analytics. Companies rely on complex ETL (Extract Transform and Load) Pipelines that collect data from sources in the raw form and deliver it to a storage destination in a form suitable for analysis. However, the initial stage of this […]View the full article

Businesses today are overflowing with data and thus are majorly dependent on big data platforms that support digital transformation through which they can streamline the flow of data for real-time insights delivery and better decision making. This article will take you through some of the important aspects of Snowflake security and sharing practices. Introduction to […]View the full article

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