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Most organizations find it challenging to manage data from diverse sources efficiently. Amazon Web Services (AWS) enables you to address this challenge with Amazon RDS, a scalable relational database service for Microsoft SQL Server (MS SQL). However, simply storing the data isn’t enough. To drive your business growth, you need to analyze this data to […]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

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

Effective data migration is the key to overcoming the challenges associated with today’s data-driven world. The AWS Aurora Postgres to Databricks integration offers data storage and analytics solutions that help unlock the full potential of your organization’s operational data. Through this integration, you can achieve the simplicity and cost-effectiveness of AWS Aurora Postgres databases with […]View the full article

We are excited to partner with Meta to release the latest state-of-the-art large language model, Meta Llama 3 , on Databricks. With Llama... 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

At Databricks, we’re committed to building the most efficient and performant training tools for large-scale AI models. With the recent release of DBRX... View the full article

We're excited to announce that Databricks has been honored with the 2024 Google Cloud Technology Partner of the Year award for Data -... View the full article

Introduction The ability for organizations to adopt machine learning, AI, and large language models (LLMs) has accelerated in recent years thanks to the... View the full article

Innovation in the Power and Utilities industry is all but a necessary step to move forward with the evolution of the national power... View the full article

Today, we are excited to announce the general availability of Databricks Notebooks on SQL warehouses. Databricks SQL warehouses are SQL-optimized compute that provide... View the full article

Overview In the competitive world of professional hockey, NHL teams are always seeking to optimize their performance. Advanced analytics has become increasingly important... View the full article

Databricks Runtime 14.3 includes a new capability that allows users to access and analyze Structured Streaming 's internal state data: the State Reader... View the full article

By Steve Sobel - Global Industry Leader; Communications, Media & Entertainment Today Databricks and Adobe are excited to announce a strategic partnership focused... View the full article

We are excited to announce the release of the Databricks AI Security Framework (DASF) version 1.0 whitepaper! The framework is designed to improve... View the full article

This post was written in collaboration with Jason Labonte, Chief Executive Officer, Veritas Data Research In the realm of healthcare and life sciences... View the full article

KX and Databricks have partnered to develop time series analytics solutions for the capital markets sector to support many use cases including quant... View the full article

StreamNative, a leading Apache Pulsar-based real-time data platform solutions provider, and Databricks, the Data Intelligence Platform, are thrilled to announce the enhanced Pulsar-Spark... View the full article

With Game Developers Conference a week away, we're thrilled to present the 2nd Edition of Databricks' Ultimate Guide to Game Data and AI... View the full article

This post is the second part of our two-part series on the latest performance improvements of stateful pipelines. The first part of this... View the full article

Data Engineering Tools in 2024 The data engineering landscape in 2024 is bustling with innovative tools and evolving trends. Here’s an updated perspective on some of the key players and how they can empower your data pipelines: Data Integration: Informatica Cloud: Still a leader for advanced data quality and governance, with enhanced cloud-native capabilities. MuleSoft Anypoint Platform: Continues to shine in building API-based integrations, now with deeper cloud support and security features. Fivetran: Expands its automated data pipeline creation with pre-built connectors and advanced transformations. Hevo Data: Remains a strong contender for ease of use and affordability, now offering serverless options for scalability. Data Warehousing: Snowflake: Maintains its edge in cloud-based warehousing, with improved performance and broader integrations for analytics. Google BigQuery: Offers even more cost-effective options for variable workloads, while deepening its integration with other Google Cloud services. Amazon Redshift: Continues to be a powerful choice for AWS environments, now with increased focus on security and data governance. Microsoft Azure Synapse Analytics: Further integrates its data warehousing, lake, and analytics capabilities, providing a unified platform for diverse data needs. Data Processing and Orchestration: Apache Spark: Remains the reigning champion for large-scale data processing, now with enhanced performance optimizations and broader ecosystem support. Apache Airflow: Maintains its popularity for workflow orchestration, with improved scalability and user-friendliness. Databricks: Expands its cloud-based platform for Spark with advanced features like AI integration and real-time streaming. AWS Glue: Simplifies data processing and ETL within the AWS ecosystem, now with serverless options for cost efficiency. Emerging Trends: GitOps: Gaining traction for managing data pipelines with version control and collaboration, ensuring consistency and traceability. AI and Machine Learning: Increasingly integrated into data engineering tools for automation, anomaly detection, and data quality improvement. Serverless Data Processing: Offering cost-effective and scalable options for event-driven and real-time data processing. Choosing the right tools: With this diverse landscape, selecting the right tools depends on your specific needs. Consider factors like: Data volume and complexity: Match tool capabilities to your data size and structure. Cloud vs. on-premises: Choose based on your infrastructure preferences and security requirements. Budget: Evaluate pricing models and potential costs associated with each tool. Integration needs: Ensure seamless compatibility with your existing data sources and BI tools. Skillset: Consider the technical expertise required for each tool and available support resources. By carefully evaluating your needs and exploring the strengths and limitations of these top contenders, you’ll be well-equipped to choose the data engineering tools that empower your organization to unlock valuable insights from your data in 2024. The post Data Engineering Tools in 2024 appeared first on DevOpsSchool.com. View the full article

Back in July, we released the public preview of the new Databricks Assistant, a context-aware AI assistant available in Databricks Notebooks, SQL editor... View the full article

Insurance companies have seen a tremendous shift in modernization. Traditionally known for the use of legacy systems, leading carriers are modernizing their infrastructure... View the full article

Last year, we published the Big Book of MLOps, outlining guiding principles, design considerations, and reference architectures for Machine Learning Operations (MLOps). Since then, Databricks has added key features simplifying MLOps, and Generative AI has brought new requirements to MLOps platforms and processes. We are excited to announce a new version of the Big Book of MLOps covering these product updates and Generative AI requirements. This blog post highlights key updates in the eBook, which can be downloaded here ... View the full article