Upsolver is a startup that offers a platform to help companies big and small manage their data more efficiently. This week, they announced a new product called SQLake. SQLake is a tool that makes it easier for companies to use SQL, the most popular database language. It does this by automatically translating SQL code into a language that the company’s database can understand. This makes it easier for companies to make changes to their databases and to query their data.

1. venturebeat.com Introduces SQLake

#1 venturebeatcom Introduces SQLake

Upsolver, the company that provides a cloud-based platform for data lakes, has introduced SQLake, a new way to query data stored in Amazon S3.

SQLake is a cloud-native data lake solution that is designed to make it easy to query data stored in Amazon S3. The solution is based on Upsolver’s existing data lake platform, which has been used by customers such as Cisco, Comcast, and Intuit.

SQLake offers a number of benefits over traditional data lake solutions, including the ability to scale to billions of objects, the ability to query data without having to first load it into a database, and the ability to take advantage of Amazon S3’s low cost and high durability.

Upsolver is offering a free trial of SQLake, and the company plans to make the service generally available in the first quarter of 2019.

2. SQL Series: Wiggers

In this SQL series, we’ll be learning about SQLake, a new service that offers a managed SQL data lake on AWS. SQLake is a fully managed, cloud-based data lake service that makes it easy to store and analyze data in Amazon S3. With SQLake, you can query data in Amazon S3 using standard SQL, without having to provision any infrastructure. SQLake is currently in beta, and is available in the US East (N. Virginia) and US West (Oregon) regions.

SQLake is a great option for organizations that want to take advantage of the cost savings and flexibility of Amazon S3, while still being able to query their data using standard SQL. In addition, SQLake offers a number of features that make it easy to manage and analyze your data, including:

– A web-based query editor that lets you run SQL queries against your data in Amazon S3
– A web-based data explorer that lets you visualize your data
– A data catalog that makes it easy to discover and understand your data
– A security model that lets you control who has access to your data

If you’re interested in learning more about SQLake, check out the links below.

Upsolver SQL Series

https://upsolver.com/blog/sql-series-wiggers-venturebeat- introduces-sqlake

https://venturebeat.com/2019/03/04/aws-launches- sqlake-a-managed-sql-data-lake-service/

3. Upsolver

Upsolver is a cloud-based data platform that enables users to easily ingest, transform, and analyze data from a variety of sources. Upsolver’s SQL interface enables users to query data in any format, without having to define schemas or load data into a database.

Upsolver was founded in 2015 by Assaf Resnick and Liran Zvibel, who previously co-founded Sysomos, a social media analytics company that was acquired by Marketwired in 2012.

Upsolver is headquartered in New York City, with offices in Tel Aviv and San Francisco.

1. Introduction

#1 Introduction

Upsolver is a new tool that makes it easy to query data stored in Amazon S3. SQLake is a new file format that is optimized for Amazon S3. In this blog series, we will show you how to use Upsolver to query data stored in SQLake.

Upsolver is a cloud-based data platform that enables users to easily query data stored in Amazon S3. SQLake is a new file format that is optimized for Amazon S3. In this blog series, we will show you how to use Upsolver to query data stored in SQLake.

Upsolver is a cloud-based data platform that enables users to easily query data stored in Amazon S3. SQLake is a new file format that is optimized for Amazon S3. In this blog series, we will show you how to use Upsolver to query data stored in SQLake.

Upsolver is a cloud-based data platform that enables users to easily query data stored in Amazon S3. SQLake is a new file format that is optimized for Amazon S3. In this blog series, we will show you how to use Upsolver to query data stored in SQLake.

2. What is SQLake?

#SQLake is a new open source project that makes it easy to query and analyze data in Amazon S3 using standard SQL. SQLake is built on top of Apache Spark and uses the Spark SQL engine to provide a powerful and easy-to-use interface for working with data in S3.

Using SQLake, you can easily query data in S3 using standard SQL, without having to worry about setting up and managing a Spark cluster. SQLake takes care of all the heavy lifting for you, so you can focus on your data and analytics.

SQLake is an ideal solution for analysts and data scientists who want to use SQL to query data in S3, but don’t want to deal with the hassle of setting up and managing a Spark cluster. With SQLake, you can get up and running quickly and start querying your data right away.

If you’re already using Spark for data processing, SQLake can be used as a drop-in replacement for the Spark SQL engine. SQLake supports all of the features of Spark SQL, so you can use it to query data in S3 just like you would query any other data source.

SQLake is open source and is available on GitHub under the Apache 2.0 license.

3. Who is Wiggers?

Wiggers is a software engineer and the creator of SQLake, a new open source project that makes it easy to query data stored in Amazon S3.

Wiggers has been working on data processing pipelines for the past eight years, and has been a fan of Apache Spark since its early days. He was inspired to create SQLake after seeing how difficult it was to query data stored in S3 using Spark.

SQLake is designed to be easy to use and extensible. It supports a variety of data formats, including CSV, JSON, and Avro. It also includes a number of built-in functions, such as aggregation, filtering, and transformation.

Wiggers is currently working on adding support for more data formats and functions. He is also working on a web interface that will make it even easier to query data stored in S3.

SQLake is open source and available on GitHub.

4. Upsolver SQL Series

Upsolver is a data management platform that enables users to query and analyze data stored in data lakes. The company recently released a series of blog posts that introduce SQL users to the benefits of using Upsolver to query data stored in Amazon S3.

The first post in the series introduces the concept of data lakes and the advantages of using them over traditional data warehouses. The post also explains how Upsolver can be used to query data stored in an S3 data lake.

The second post in the series dives deeper into the capabilities of Upsolver and explains how it can be used to perform complex SQL queries on data stored in an S3 data lake.

The third post in the series introduces the concept of materialized views and explains how Upsolver can be used to create and query materialized views of data stored in an S3 data lake.

The fourth and final post in the series explains how Upsolver can be used to integrate data from multiple data sources, including databases, streaming data, and files stored in an S3 data lake.

The Upsolver SQL series is a great resource for SQL users who are interested in learning more about how to query data stored in an S3 data lake.