3 Easy Steps to Create an Incremental Model Using Dbt Snowflake February 27th, 2023 By Manjiri Gaikwad in Data Warehousing, Snowflake Digital events are a significant source of information for organizations to understand their customers better. Businesses, from e-commerce to SaaS and healthcare, use events from digital interactions to obtain unique…
Hive to Redshift: 2 Easy Ways for Data Replication February 24th, 2023 By Anaswara Ramachandran in Data Integration, Redshift There are some unbeatable technologies out there. What makes them unbeatable? Of course, the pros to using them. Take Hive for instance. What makes Hive unbeatable? Firstly, it allows task…
Integrate BigQuery to Azure Synapse: A Comprehensive 101 Guide February 23rd, 2023 By Sanchit Agarwal in BigQuery, Data Integration As businesses continue to generate massive amounts of data, the need for efficient and scalable data storage and analysis solutions becomes increasingly important. Two popular options for data warehousing are…
How To Connect dbt to BigQuery? The Complete Guide 101 February 21st, 2023 By Sharon Rithika in BigQuery, Data Integration Dbt is a free and open-source tool that uses SQL to help you with data organization, transformation, and analysis. Meanwhile, BigQuery is a cloud-based data warehousing system that can handle…
Export MongoDB To Excel & CSV: 2 Convenient Methods February 21st, 2023 By Divij Chawla, Sarthak Bhardwaj in Data Integration, MongoDB Exporting MongoDB data for further analysis in Excel is a common need. While MongoDB stores complex data, Excel provides convenience for slicing and visualizing that data. This article outlines two…
Dynamic Data Discovery with Elasticsearch and Oracle Data Connection: 3 Easy Steps February 21st, 2023 By Muhammad Faraz in Data Integration Are you tired of sifting through mountains of tables in your Oracle database, struggling to find the information you need? If so, you're not alone. Many businesses today are grappling…
Hive to BigQuery Data Replication: 3 Best Methods for You February 20th, 2023 By Anaswara Ramachandran in BigQuery, Data Integration Hive can organize every task quickly and assign to a number of different preferences, such as assignee, date, budget, add files, etc. You can also derive insights from Hive making…
Elasticsearch SQL Server Integration: 2 Easy Methods February 18th, 2023 By Oshi Varma in Data Integration, SQL Server Are you trying to load data from Elasticsearch to SQL Server? If yes, then you are in the right place. Loading data from Elasticsearch to SQL Server can provide a…
How to Perform Firebase PostgreSQL Integration? February 16th, 2023 By Talha in Data Integration, PostgreSQL Many companies face complexities when trying to connect data between Firebase and PostgreSQL. These companies have various reasons for connecting these systems. For example, data transfer occurs when a company…
Slack to BigQuery Integration: 3 Best Methods for You February 16th, 2023 By Anaswara Ramachandran in BigQuery, Data Integration According to reports, Slack is used by more than 100,000 organizations. That would be a lot of data! What if you could connect Slack to a data warehouse like BigQuery…
Freshsales to BigQuery Data Replication: Best 2 Ways You Should Know February 15th, 2023 By Anaswara Ramachandran in BigQuery, Data Integration ‘Hey, how many customers do we receive through email? And, through which marketing channel do our customers rate our product the best?’ Do you have an answer to such questions…
WordPress ElasticSearch Integration: 4 Easy Steps February 15th, 2023 By Arsalan Mohammed in Data Integration WordPress is one of the most popular software on the planet with more than 70 million websites on the internet. It’s one of the best content management software and it’s…
What is Data Build Tool(dbt)? A Comprehensive 101 Guide February 9th, 2023 By Sanchit Agarwal in Data Strategy Despite all the ELT tools available out there, businesses still struggle with data modeling. Data Build Tool(dbt) is a robust, open-source tool based on SQL that changes how organizations write,…
Salesforce Marketing Cloud to Azure Data Integration: 3 Best Ways February 9th, 2023 By Anaswara Ramachandran in Data Integration Salesforce’s marketing cloud (SFMC) scored 23.9% of the market share in 2022 CRM share. It’s more than the score of its rivals SAP, Oracle, Microsoft, and Adobe combined. This report…
Connecting Google Sheets to REST API Integration February 6th, 2023 By Manisha Jena in Data Integration Google Sheets helps make your data pop with colorful graphs and charts. With features like built-in formulas, conditional formatting options, and pivot tables, you can save time and simplify common…
Google Analytics to Azure: 2 Best Ways to Replicate Your Data February 3rd, 2023 By Anaswara Ramachandran in Data Integration “Torture the data, and it will confess to anything.”- Ronald Coase, the Nobel prize Laureate Well, that's a quote that would only be applicable in data analytics but very powerful.…
What is Change Tracking in SQL Server? A Comprehensive Guide 101 January 30th, 2023 By Sanchit Agarwal in Data Strategy Organizations demand real-time data to fastrack their decision-making process based on the latest, most relevant data. Most businesses use 10+ applications and need to continuously update the data from their…
How to Enable Change Tracking – SQL [Complete Guide 2024] January 30th, 2023 By Manjiri Gaikwad in Change Data Capture CDC Businesses perform several tasks like auditing data records, checking malicious activities, tracking security violations, and ensuring seamless business operations. They often use SQL servers to track database activities and audit…
Data Streaming Architecture Guide [Updated 2024] January 27th, 2023 By Manjiri Gaikwad in Data Strategy Organizations must constantly monitor and analyze real-time data through data streaming systems. Data streaming technology helps organizations in processing and analyze real-time data with ease. It is primarily used in…
What is Data Extraction? Everything You Need to Know January 27th, 2023 By Ofem Eteng in Data Strategy Data extraction is the backbone of ETL (Extract, Transform, Load), a process that drives the data and analytics workflows of many organizations. It's the most demanding stage of any data-related…