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ChaosSearch

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Solve a Problem, Change the World w/ Amr Awadallah

Apr 5, 2022 By Karina Babcock In ChaosSearch
A universal human problem that we don’t often address is that historically, knowledge has been relatively siloed by language. But with advancements in AI, there are new opportunities to capture broader and deeper insights across the written and spoken word by breaking down global language and distance barriers. This was the topic of discussion on our most recent Data Legends podcast episode, featuring Amr Awadallah, founder and CEO at ZIR AI and former technology exec at Cloudera, Google, and Yahoo.
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ChaosSearch Named in 2022 Gartner Market Guide for Analytics Query Accelerators

Mar 24, 2022 By Courtney Pallotta In ChaosSearch
Last week, Gartner released their 2022 Gartner Market Guide for Analytics Query Accelerators (AQAs), which names ChaosSearch as a Representative Vendor. In this week’s blog, we share perspectives from both Gartner and ChaosSearch on the emerging AQA category that focuses on accelerating data lakes’ time to value. You’ll learn what AQAs are, their role in the enterprise tech stack, and how ChaosSearch differentiates itself from others in the segment.
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Choosing an Analytical Cloud Data Platform [Webinar Recap]

Mar 17, 2022 By Karina Babcock In ChaosSearch
Last week, ChaosSearch CTO & Head Scientist Thomas Hazel joined forces with Doug Henschen, VP & Principal Analyst of Constellation Research, to deliver a live webinar on “Choosing an Analytical Cloud Data Platform: Trends, Strategies, and Tech Considerations.” In this blog, we’re highlighting the deepest insights, the best advice, and the most actionable recommendations that emerged from the discussion.
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FinTech Companies Thrive and Innovate with ChaosSearch

Mar 3, 2022 By Sandro Lima In ChaosSearch
ChaosSearch addresses critical pain points and overcomes core operational challenges for FinTech companies, allowing them to accelerate application development and streamline their operations in the cloud. The ChaosSearch data lake platform delivers search and relational analytics at scale directly in Amazon S3, with no data movement, no ETL process, and zero administrative overhead.
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Make Your AWS Data Lake Deliver with ChaosSearch (Webinar Highlights)

Feb 17, 2022 By Rich Pappas In ChaosSearch
When CTO James Dixon coined the term “data lake” in 2011, he imagined a single storage repository where organizations could store both structured and unstructured data in their raw format until it was needed for analytics. But without the right storage technology, data governance, or analytical tools, the first data lakes quickly became “data swamps” - morasses of data with no organizational structure and no efficient way to access or extract meaningful insights.
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ChaosSearch in Two Minutes!

Jan 24, 2022 By ChaosSearch In ChaosSearch
ChaosSearch helps modern organizations Know Better™ by activating the data lake for analytics. The ChaosSearch Data Lake Platform indexes customers’ cloud data, rendering it fully searchable and enabling analytics at scale with massive reductions of time, cost and complexity. ChaosSearch was purpose-built for cost-effective, highly scalable analytics encompassing full text search, SQL and machine learning capabilities in one unified offering. The patented ChaosSearch technology instantly transforms your cloud object storage (Amazon S3, Google Cloud Storage) into a hot, analytical data lake.
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Unlocking Data Literacy Part 3: Choosing Data Analytics Technology

Jan 13, 2022 By Dave Armlin In ChaosSearch
Ringing in the new year with new goals for data literacy? The right data management strategy can help democratize access to analytics across your entire team, without the need for a data scientist or data engineer to act as an intermediary or bottleneck. As you examine your people’s data skills and related data literacy training processes, it might be time to consider a new approach to data analytics technology that facilitates data democratization in 2022. That’s right, your platform.
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Better Together with AWS - 2021 in Review

Jan 6, 2022 By Rich Pappas In ChaosSearch
In 2021, many organizations on a digital transformation journey sought cloud-native data management and analytics solutions that could facilitate search and analytics on their data in the cloud. Many of them are already running on the AWS cloud, so naturally, they turned to the AWS Partner Network to find technologies that could easily plug into their cloud stack, solve tactical pains, and deliver value quickly.
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3 Use Cases for Relational Access to Log Data

Jan 1, 2022 By George Hamilton In ChaosSearch
ChaosSearch has experienced tremendous growth as evidenced by being named one of DBTA’s Trend-setting products for 2022 and one of three vendors chosen by Solutions Review as a Data Science and Machine Learning Vendor to Watch, 2022. Our early success has been driven by customers using our real-time data analytic service for log analytics at scale. ChaosSearch is a perfect Elastic Stack (i.e.
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Why Log Data Retention Windows Fail

Dec 23, 2021 By Dave Armlin In ChaosSearch
If you’re using Elasticsearch as part of an ELK stack solution for log analytics, you’ll need to manage the size of your indexed log data to achieve the best performance. Elasticsearch indices have no limit to their size, but a larger index takes longer to query and is more costly to store. Performance degradation is often observed with large Elastic indices and queries on large indices can even crash Elasticsearch when they use up all of the available heap memory on the node.
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