Data Engineering & Data Science

A good benchmark is one that clearly shows which models are better and which are worse. The Databricks Mosaic Research team is dedicated... View the full article

We are excited to announce that Databricks on AWS GovCloud is now in public preview and that we recently earned our first FedRAMP®... View the full article

We are proud to announce that Forrester has recognized Databricks as a Leader with the highest scores in both current offering and strategy... View the full article

In today’s data-driven era, you have more raw data than ever before. However, to leverage the power of big data, you need to convert raw data into valuable insights for informed decision-making. When it comes to preparing data for analysis, you will always come across the terms “data wrangling” and “ETL.” While they may sound […]View the full article

Almost all companies today are “data rich.” They have access to exponentially more data than ever before. But they are still information poor, struggling to make sense of it all. One of the main reasons for this is disconnected data silos, acting as barriers that prevent a 360-degree view of their business. Data integration is […]View the full article

Organizations use ETL (Extract, Transform, and Load) to obtain quality data for expediting decision-making. But, the myriad of available ETL tools makes it challenging for organizations to evaluate and embrace the right tool. Today, ETL tools are divided into various types, making it even more difficult for companies to find the right fit. In this […]View the full article

Amazon Redshift is a serverless, fully managed leading data warehouse in the market, and many organizations are migrating their legacy data to Redshift for better analytics. In this blog, we will discuss the best Redshift ETL tools that you can use to load data into Redshift. 8 Best Redshift ETL Tools Let’s have a detailed […]View the full article

Today, companies have access to a broad spectrum of big data gathered from various sources. These sources include web crawlers, sensors, server logs, marketing tools, spreadsheets, and APIs. To gain a competitive advantage in the business, it is crucial to gain proficiency in using data to improve business operations. However, the information from different sources […]View the full article

According to a research report* by MarketsandMarkets, the data integration market is expected to grow from USD 11.6 Billion in 2021 to USD 19.6 Billion by 2026. This implies the huge potential of data integration and the two approaches to data management– ETL and ELT. However, in the battle of ETL vs ELT, choosing one over […]View the full article

It is common for people to get confused about the differences between data integration and data migration. While these processes are related, they serve different purposes and involve different approaches. Understanding the differences data integration vs data migration is crucial for choosing the right approach for your specific needs. This will also help ensure that […]View the full article

The importance of using data in sectors like Data Science, Machine Learning, etc. grows as the amount of data sources, and data types in an organization expand. Converting raw data into a clean and reliable form is a key step for extracting meaningful insights from it. ETL (Extract, Transform, and Load) is a Data Engineering […]View the full article

Making sure your technology stack works for you requires integration on a fundamental level. Everyone in your organization, from content writers who embed tweets into blog articles to data teams who reconcile data warehouses following a merger, can perform their duties more successfully with the help of coordinated data. Choosing the best tool for the […]View the full article

Today, businesses all around the world are driven by data. This has led to companies exploiting every available online application, service, and social platform to extract data to better understand the changing market trends. Now, this data requires numerous complex transformations to get ready for Data Analytics. Moreover, companies require technologies that can transfer and […]View the full article

We are thrilled to announce Unity Catalog Lakeguard , which allows you to run Apache Spark™ workloads in SQL, Python, and Scala with... View the full article

Data democratization may sound like just another technology buzzword, but with organizations collecting more and more data every day, the accuracy, trustworthiness, and... View the full article

We're thrilled to announce the General Availability (GA) of Databricks Asset Bundles (DABs) . With DABs you can easily bundle resources like jobs... View the full article

For a limited time, we're offering 50% off training and certification at Data + AI Summit with the following code: TRAIN50FOTY. This offer... View the full article

Learn why your Shopify success demands data engineering expertise and how to start doing more with your Shopify data. View the full article

Solr is an open-source, highly scalable search platform built on top of Apache Lucene. It provides powerful capabilities for searching, indexing, and faceting large amounts of data. Here are 10 real use cases of Solr: Apache Solr is an open-source search platform built on Apache Lucene, which is a high-performance, full-text search engine library. Solr is widely used for enterprise search and analytics purposes because it provides robust full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (like Word and PDF) handling capabilities. It is designed to handle large volumes of text-centric data and provides distribute…

In today’s data-driven world, developer productivity is essential for organizations to build effective and reliable products, accelerate time to value, and fuel ongoing innovation. To deliver on these goals, developers must have the ability to manipulate and analyze information efficiently. Yet while SQL applications have long served as the gateway to access and manage data, Python has become the language of choice for most data teams, creating a disconnect. Recognizing this shift, Snowflake is taking a Python-first approach to bridge the gap and help users leverage the power of both worlds... The post Snowflake’s New Python API Empowers Data Engineers to Build Modern Da…

The next generation of Databricks SQL (DBSQL) dashboards, also known as Lakeview Dashboards, is now generally available on AWS and Azure. This new... View the full article

We recently made significant improvements to the underlying algorithms supporting AI-generated comments in Unity Catalog and we’re excited to share our results. Through... View the full article

RudderStack isn't just an alternative to Segment, but a different approach for businesses who want to turn their customer data into a competitive advantage.View the full article

Introduction In this blog post we dive into inference with DBRX, the open state-of-the-art large language model (LLM) created by Databricks (see Introducing... View the full article

We released Ray support public preview last year and since then, hundreds of Databricks customers have been using it for variety of use... View the full article

Are you ready to discover how one of the world's leading tech giants is transforming its data analytics to stay ahead of the... View the full article

The only data engineering roadmap you need for an introduction to concepts, tools, and techniques to collect, store, transform, analyze, and model data. View the full article

RudderStack builds a Customer Data Platform on the Data Warehouse. Where one can join all the customer data into a program & get a personalized UI encounter.View the full article

RudderStack launches its Video library. A set of detailed, informative videos that will help developers gain knowledge about the product’s features.View the full article

Take charge of your data with RudderStack. It centers on privacy & security to aid an open-source option to Segment for enterprises, printed in Go & React.View the full article

Why Single Platform analytics tools do not scale well? RuddertStack responds based on setups and power of insights causing future problems at the early stage.View the full article

To create the Data Silos, RudderStack reveals the reason that why the Cloud SaaS tools were in use and managed by the Marketing, Sales and Product Teams.View the full article

Data control consists of three parts: data access aperture, data security control, and data privacy control. This article explains how they work together. View the full article

This blog exposes ten companies that collect consumer data but do not appear to collect data. Read on to know more.View the full article

Launching Reverse ETL and ETL - work with data to and from your warehouse and cloud sources with RudderStack. View the full article

A thoughtful look at why Data and Engineering teams are best suited to own customer data platform implementation & management. View the full article

Know everything about CDPs and the problems they solve. Also, know in which cases you should not go for a Customer Data Platform.View the full article

RudderStack presented a webinar to NSHM, an Engineering college, and explained various open-source technologies in action. View the full article

Partnered with GitHub Rudderstack is making the OS more sustainable for developers. This helps the developers to compensate at better channels & supports OS.View the full article

RudderStack Transformations allow you to transform data in-flight with custom JavaScript so you can customize integrations, fix bad data, and enrich events.View the full article

A typical example of a Data-Intensive Application. RudderStack briefly tells CDI and its core & the infrastructure for seizing, processing, and routing events.View the full article

RudderStack examines why Twilio acquired Segment and explores how the acquisition will impact Segment. View the full article

Learn why you need to track in-app events, what to track and what not to track, and get a few pro tips on designing your event data.View the full article

RudderStack is in a chat with founder Soumyadeb Mitra to discuss the Open-source Data Infrastructure especially focusing on data privacy, safety, & reliability.View the full article

Finally RudderStack keys "Why they did not prefer Apache Kafka over PostgreSQL for building RudderStack?". Focuses on the challenges using Apache KafkaView the full article

In this article, we will dive into what Clickstream Analytics is, what it does, and why it is so useful for eCommerce businesses. View the full article

RudderStack explains how to churn prediction can happen using Google’s BigQueryML together with the clickstream data gathered and delivered using the stage.View the full article

RudderStack now explains to optimize mobile game analytics and presents a complete guide for the amazing casino game & how Wynn Casino Game used RudderStack.View the full article

In this article, we break down the ideal architecture for “the complete customer data stack” from the perspective of the data engineer. Learn all about it.View the full article

We bring you a complete introduction to RudderStack, an open-source CDP for handling and routing customer event data and focusing on privacy & security.View the full article