Hevo

San Francisco, CA, USA
2017
Apr 18, 2022   |  By Team Hevo
Usually, your business users request you share the business reports in Spreadsheets. They are highly familiar with Sheets and prefer their reports on Sheets only. They assume delivering reports in XLS format is easy and quick. But, we understand the efforts and time required to export reports to Spreadsheets. Every time, you will have to run queries on your centralized data at the warehouse and then export results in XLS format. You may need to edit and update the Sheet regularly.
Apr 13, 2022   |  By Team Hevo
In today’s digital age, robust and faster data analytics is essential for your organization’s growth and success. The faster you deliver analytics-ready data to your analyst, the faster they can analyze and derive insights. Though you would have adopted the ELT process with EL data pipelines to load data quickly to the warehouse, your team would still face inefficient and delayed analysis.
Apr 4, 2022   |  By Vernon DaCosta
ETL stands for Extract, Transform, and Load. It is defined as a Data Integration service and allows companies to combine data from various sources into a single, consistent data store that is loaded into a Data Warehouse or any other target system. ETL serves as the foundation for Machine Learning and Data Analytics workstreams. Through multiple business rules, ETL organizes and cleanses data in a way that caters to the Business Intelligence needs, like monthly reporting.
Apr 1, 2022   |  By Bukunmi I
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.
Mar 25, 2022   |  By Maithili Saralaya
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.
Feb 24, 2022   |  By Vivek Sinha
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!
Feb 8, 2022   |  By Bukunmi I
Having a firm understanding of Google BigQuery Data types is necessary if you are to take full advantage of the warehousing tool’s on-demand offerings and capabilities. We at Hevo Data (Hevo is a unified data integration platform that helps customers bring data from 100s of sources to Google BigQuery in real-time without writing any code) often come across customers who are in the process of setting up their BigQuery Warehouse for analytics.
Feb 7, 2022   |  By Sarad
Apache Kafka is a distributed message broker designed to handle large volumes of real-time data efficiently. Unlike traditional brokers like ActiveMQ and RabbitMQ, Kafka runs as a cluster of one or more servers which makes it highly scalable and due to this distributed nature it has inbuilt fault-tolerance while delivering higher throughput when compared to its counterparts. This article will walk you through the steps to install Kafka on Ubuntu 20.04 using simple 8 steps.
Jul 1, 2022   |  By Hevo
eCommerce analytics involves tracking a wide range of metrics relating to the complete journey of the customer, right from discovery to acquisition, conversion, retention and advocacy. Analytics lays a foundation framework for any eCommerce business and it helps them understand which marketing and sales initiatives are working, those that aren't, and the areas that have a great potential for growth.
May 12, 2022   |  By Hevo
The healthcare industry has always been flooded with a huge amount of complex data, coming in at a very rapid pace. The industry also faces constant challenges such as the growing demand for services, rising costs and a workforce that is struggling to meet the needs of its patients.
Apr 14, 2022   |  By Hevo
The 'data lakehouse' is quickly becoming popular in the data analytics community. Data lakehouse architecture combines the benefits of a data warehouse and a data lake. It aims to merge the data warehouse’s data structure and management features along with the flexibility and relatively low cost of the data lake. Watch this panel discussion to learn how the data lakehouse can address the limitations of the data lake and data warehouse architecture to deliver significant value for organizations. Explore why the data lakehouse is an ideal option for enterprise data storage initiatives.
Apr 6, 2022   |  By Hevo
Building a data warehouse is an expensive affair and it often takes months to build one from scratch. There is also a constant struggle to keep up with the large volumes of data that is constantly generated. On top of that, setting up a strong architectural foundation, working on repetitive and mundane data validation tasks and ensuring data accuracy is another challenge. This puts tremendous stress on data teams and data warehouses. Data warehouse automation is intended to handle this growing complexity.
Apr 5, 2022   |  By Hevo
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.
Apr 4, 2022   |  By Hevo
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.
Mar 25, 2022   |  By Hevo
The collaboration between teams of data scientists, data engineers, data analysts, operations, and product owners can help an organization scale new heights. Each of these roles needs to be in sync in order to use data in the most efficient manner.
Mar 2, 2022   |  By Hevo
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.
Feb 23, 2022   |  By Hevo
Modernizing your data stack can help your organization tackle various demands and challenges caused by complex data problems. The session will uncover the building blocks of a modern data stack and discuss how you can maximize benefits with a minimal investment.
Feb 16, 2022   |  By Hevo
One of the key goals for data teams in 2022 is to drive business impact while reducing development and maintenance costs. Setting up or migrating to a modern data stack will be a key factor for data-driven businesses to achieve faster growth. Attend this session to take a look at the biggest data trends of 2022.

Automate and control end-to-end data pipelines - from combining raw data to driving last mile business actions - all within one intuitive, zero maintenance platform.

All the capabilities, none of the firefighting:

  • Extract data from anywhere: Instantly connect and read data from 150+ sources including SaaS apps and databases, and precisely control pipeline schedules down to the minute.
  • Load data how you need: Load data into the warehouse in near real-time and control how it lands with preload transformations, automated schema mapping, and keep data updated with CDC.
  • Transform data for analytics: Prepare data for analytics seamlessly as it lands in the warehouse through powerful data models and workflows that run in sync with your pipelines.
  • Activate data to drive action: Deliver analytics-ready data for your business teams within their SaaS applications to power data-driven decisions and process automations.

Leverage data effortlessly with Hevo’s end-to-end data pipeline platform.