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Hevo

Building Product Analytics At Petabyte Scale

Product analytics is the most critical and complex task for any product team. There are thousands of data points that have to be analyzed carefully while setting up the product analytics foundation and it enables product teams to use data to track, visualize, and analyze user engagement and behavior that can be used to improve and optimize a product experience. However, managing large data workloads can be very challenging as not all data that is collected can be directly used for analytics.

Data Warehouse Automation: What, Why, and How?

Data Warehouse Automation helps IT teams deliver better and faster results by getting rid of repetitive design, development, deployment and operational tasks within the data warehouse lifecycle. With automation, organizations can accelerate the data to the analytics journey, work more effectively with large amounts of data and save cost. Join this session with Darshan Wakchaure, Global Data & Analytics Competency Head, Tech Mahindra as he shares his insights on the key benefits of Data Warehouse Optimization and how to achieve Data Warehouse Automation at scale.

Apache Kafka to BigQuery: 2 Easy Methods

Organizations today have access to a wide stream of data. Data is generated from recommendation engines, page clicks, internet searches, product orders, and more. It is necessary to have an infrastructure that would enable you to stream your data as it gets generated and carry out analytics on the go. To aid this objective, incorporating a data pipeline for moving data from Apache Kafka to BigQuery is a step in the right direction.

Hevo Data Featured as a Leader in G2's Spring 2022 Report

The G2 Spring 2022 Grid Reports are out! We’re excited to announce that Hevo Data has been rated as a Leader in the categories – ETL Tools, Data Extraction, and Data Replication. Besides this, we have also received badges in numerous other categories, like Easiest To Use: Data Extraction and High Performer: E-commerce Data Integration, giving us a count of 17 badges in total and highlighting our strengths as a product. According to G2, 98% of our users have rated us 4 or 5-stars.

Founder's Guide to Setting Up a Data Analytics Foundation

Business metrics guide founders and decision-makers to make the right call to push their ventures towards their goals. In the initial launch of a startup, the focus tends to be on revenue and profits. However, if a startup wants to scale up, it is important to broaden what metrics and key performance indicators (KPIs) are monitored at each stage, so they can grow the business by using data instead of just intuition.

Install MongoDB on Ubuntu: 5 Easy Steps

Do you want to Install MongoDB on Ubuntu? Are you struggling to find an in-depth guide to help you set up your MongoDB database on your Ubuntu installation? If yes, then you’ve landed at the right place! Follow our easy step-by-step to seamlessly install and set your MongoDB database on any Ubuntu and Linux-powered system! This blog aims at making the installation process as smooth as possible!

Thinking beyond the Data Warehouse, Data Lake and Data Lakehouse

The Data Warehouse is the heart of any Modern Data Stack. Organization-wide data is essential in order to create a single source of truth. The question here is whether you should build a data warehouse, data lake, or a data lakehouse. Join this session to explore the options that are available and how you can evaluate multiple vendors for your use case.